# document

id: 67d4ef97c3a889c180eead39389173e8
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 15542
content:
"The second class of IAMs, called process-based IAMs, focuses on \r the analysis of transformation processes depending on a broad set \r of activities that induce emissions as side effects. They describe the \r interlinkages between economic activity, energy use, land use, and \r emissions with emission reductions and removals as well as broader \r sustainable development targets. GHGs and other climate pollutants \r are caused by a broad range of activities that are driven by socio\u0002economic developments (Riahi et al. 2017) and also induce broader \r environmental consequences such as land-use change (Popp et al. \r 2017) and air pollution (Rao et al. 2017b). With few exceptions, these \r models typically do not close the loop with climate change and \r damages that affect the economy, but focus on emission scenarios \r and climate change mitigation pathways. Due to the process-based \r representations of emission sources and alternatives, it is not only \r [...]"


id: 48ba0d1b1e2d246003d8f2853614f8b7
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 10012
content:
"[...] possible to investigate the implications of policies on GHG emissions, \r but also the trade-offs and synergies with social and environmental \r sustainability criteria (von Stechow et al. 2015) (Annex III.I.9.3). \r The analysis of different cross-sectoral synergies and trade-offs is \r frequently termed a nexus analysis, such as the energy-water-land \r nexus. The analysis can also address socio-economic sustainability \r criteria such as energy access and human health. Process-based IAMs \r are also used to explore the synergies and trade-offs of 'common, but \r differentiated responsibilities' by analysing issues of burden sharing, \r equity, international cooperation, policy differentiation and transfer \r measures (Tavoni et al. 2015; Fujimori et al. 2016; Leimbach and \r Giannousakis 2019; Bauer et al. 2020b)."


id: 4e1693a348193bd6cb377a01cbfcf6de
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 11005
content:
"et al. 2020) and some sources of CH4 and N2O constitute serious \r mitigation bottlenecks. Second, bioenergy is identified as a  crucial \r primary energy source for low-emission energy  supply and carbon \r removal (Bauer et al. 2020a; Butnar et al. 2020; Calvin et al. 2021). \r Third, land use-based mitigation measures such as afforestation \r and reduced deforestation have substantial mitigation potentials. \r Finally, land-cover changes alter the Earth surface albedo, which \r has implications for regional and global climate. Pursuing the Paris \r Agreement climate goals requires the inclusion of a  broad set of \r options regarding GHG emissions and removals, which will intensify \r the interaction between the energy sector, the economy and the land \r use sector. Consequently, intersectoral policy coordination becomes \r more important and the land-related synergies and trade-offs with \r sustainable development targets will intensify (Calvin et al. 2014b; \r [...]"


id: 19d9e302a5ccdbcd76e5e9b50ad8f37e
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 1746
content:
"[...] Kreidenweis et al. 2016; Frank et al. 2017; van Vuuren et al. 2017a; \r Humpenoder et al. 2018; Bauer et al. 2020d). IAMs used by the IPCC \r in the AR6 have continuously improved the integration of land-use \r models with energy models to explore climate mitigation scenarios \r under varying policy and technology conditions (Rogelj et al. 2018a; \r Smith et al. 2019). However, feedbacks from changes in climate \r variables are not included in the land-use sector models, or are only \r included to a limited degree."


id: 226457814824d7f0b4ed1f5392af8f7a
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 3272
content:
"Sustainable development impacts extending beyond climate \r outcomes have been assessed by the IAMs that contributed to the \r assessment, particularly in the context of the targets and indicators \r consistent with the Sustainable Development Goals (SDGs). The \r representation of individual SDGs is diverse (Figure  3), and recent \r model development has focused mainly on improving capabilities \r to assess climate change mitigation policy combined with indicators \r for economic growth, resource access, air pollution and land use \r (van Soest et al. 2019). Synergies and trade-offs across sustainable \r development objectives can be quantified by analysing multi\u0002sector impacts across ensembles of IAM scenarios generated from \r single or multiple models (McCollum et al. 2013; Mouratiadou \r et al. 2016). Modules have also been developed for IAMs with \r the specific purpose of incorporating policies that address non\u0002climatic sustainability outcomes (Cameron et al. 2016; Fujimori et al. \r [...]"


id: c960e2b36ebfa6e12bb02316a9bc5616
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 32755
content:
"[...] 2018; Parkinson et al. 2019). Similar features have been utilised to \r incorporate explicit adaptation measures and targeted policies that \r balance mitigation goals with other sustainability criteria (Bertram \r et al. 2018; McCollum et al. 2018)."


id: 8203e8784201e74e5c07a7ed59caeeb5
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 19994
content:
"Reduced complexity climate models (often called simple climate \r models or emulators) are used for communicating WGI physical \r climate science knowledge to the research communities associated \r with other IPCC working groups (Annex III.I.8). They are used by IAMs \r to model the climate outcome of the multi-gas emissions trajectories \r that IAMs produce (van Vuuren et al. 2011a). A main application of \r such models is related to scenario classifications in WGIII (Clarke \r et al. 2014; Rogelj et al. 2018a). Since WGIII assesses a large number \r of scenarios, it must rely on the use of these simple climate models; \r more computationally demanding models (as used by WGI) will \r not be feasible to apply. For consistency across the AR6 reports, it \r is important that these reduced-complexity models are up to date \r with the latest assessments from WGI. This relies on calibrating these \r models so that they match, as closely as possible, the assessments \r [...]"


id: 838e63e3046271298756ac9b3d3f8e60
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
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"[...] made by WGI (Annex III.II.2.5.1). The calibrated models can then be \r used by WGIII in various parts of its assessment."


id: 99bf32525e6e657f3a80e65f5757464c
created_at: 2023-04-19 13:23:22
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"marginal abatement costs across countries and sectors vs regionally \r and sectorally fragmented action (Blanford et al. 2014a; Bertram et al. \r 2015; Kriegler et al. 2015b, 2018b; Bauer et al. 2020b; Roelfsema \r et al. 2020), (iv) pathways with different emphasis on supply-side vs \r demand-side mitigation measures (Grubler et al. 2018; van Vuuren \r et al. 2018) or more broadly different sustainable development \r strategies (Riahi et al. 2012; van Vuuren et al. 2015; Soergel et al. \r 2021), and (v) pathways with different preferences about technology \r deployment, in particular with regard to carbon capture and storage \r (CCS) and carbon dioxide removal (CDR) (Krey 2014; Kriegler et al. \r 2014a; Riahi et al. 2015; Strefler et al. 2018; Rose et al. 2020; Luderer \r et al. 2021; Strefler et al. 2021b). Key uncertainties that were explored \r in the IAM literature are between (i) different socio-economic futures \r as, for example, represented by the Shared Socio-economic Pathways \r [...]"


id: 5bc32ca2ff45ac7a69d25af50b33f213
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 13402
content:
"[...] (SSPs) (Bauer et al. 2017; Popp et al. 2017; Riahi et al. 2017), \r (ii)  different technological developments (Bosetti et al. 2015) and \r (iii) different resource potentials (Kriegler et al. 2016)."


id: 2cbe8d1efcb45c26eb8a00753f1dac32
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 5137
content:
"Policy analysis with IAMs follows the approach that a  baseline \r scenario is augmented by some kind of policy intervention. To \r address the uncertainties in baseline projections, the scientific \r community has developed the Shared Socio-economic Pathways \r (SSPs) that provide a set of vastly different future developments as \r reference cases (Annex III.II.1.3,2). Most scenarios used in AR6 are \r based on the middle-of-the-road reference system (SSP2). Depending \r on the research interest, the baseline can be defined as a no-policy \r baseline or it can include policies that either address GHG emissions \r like the nationally determined contributions (NDCs) or other pre\u0002existing policies such as energy subsidies and taxes. There is no \r standard definition for baseline scenarios regarding the inclusion of \r policies. The baseline scenario is augmented by additional policies \r like a carbon tax aiming towards a long-term climate goal. Hence, \r [...]"


id: 6ec570ddd0c6bd1391694dd931f0bc6b
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
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content:
"[...] the IAM-based policy analysis assumes a reference system like SSP2 \r within which policy scenarios are compared with a baseline scenario."


id: 59bd48aac58d755d7083dfc3a5396db8
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 13029
content:
"These concerns spur continuous model development and \r improvements in scenario design (Keppo et al. 2021), particularly \r with regard to improved representations of energy demand, \r renewable energy, carbon dioxide removal technologies, and land \r management. IAMs are aiming to keep pace with the development \r of sector-specific models, including latest advances in estimating and \r modelling climate damages (Piontek et al. 2019). In places, where \r dynamic modelling approaches are lacking, scenarios are being used \r to explore relevant futures (Grubler et al. 2018). Moreover, sector\u0002specific model comparison studies have brought together domain \r experts and modellers to improve model representations in these \r areas (Edelenbosch et al. 2017a; Pietzcker et al. 2017; Bauer et al. \r 2020a; Harmsen et al. 2020; Rose et al. 2020). Although most models \r are still relying on the concept of a single representative household \r [...]"


id: db0af286ca20f1b965c104d9cf7595c9
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 35815
content:
"[...] representing entire regions, efforts are under way to better represent \r agent heterogeneity and distributional impacts of climate change \r and climate mitigation policies (Rao et al. 2017a; Peng et al. 2021)."


id: 829ff7fa17b15375dbcdf8f94bc1b5e1
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 20109
content:
"Second, concerns have been raised that IAMs are non-transparent and \r thus make it difficult to grasp the context and meaning of their results \r (Skea et al. 2021). These concerns have facilitated a substantial increase \r in model documentation (see the common IAM documentation at \r www.iamcdocumentation.eu as an entry point) and open-source \r models. Nonetheless, more communication tools and co-production of \r knowledge formats will be needed to contextualise IAM results for users \r (Auer et al. 2021). When projecting over a century, uncertainties are \r large and cannot be ignored. Efforts have been undertaken (Marangoni \r et al. 2017; Gillingham et al. 2018; Harmsen et al. 2021; Wilson et al. \r 2021) to diagnose key similarities and differences between models and \r better gauge robust findings from these models and how much they \r depend on key assumptions (such as, for example, long-term growth \r of the economy, the monetary implication of climate damages, or the \r [...]"


id: 93766664078479983575b296e2a6f137
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 23147
content:
"Third, there are concerns that IAMs are describing transformative \r change on the level of energy and land use, but are largely silent \r about the underlying socio-cultural transitions that could imply \r restructuring of society and institutions. Weyant (2017) notes the \r inability of IAMs to mimic extreme and discontinuous outcomes \r related to these underlying drivers as one of their major limitations. \r This is relevant when modelling extreme climate damages as well \r as when modelling disruptive changes. Dialogues and collaborative \r work between IAM researchers and social scientists have explored \r ways to bridge insights from the various communities to provide \r a  more complete picture of high-impact climate change scenarios \r and, on the other end, deep transformation pathways (Turnheim \r et al. 2015; Geels et al. 2016; Trutnevyte et al. 2019). The extension \r of IAM research to sustainable development pathways is giving rise \r [...]"


id: a627a8d2c8c80cfbd822cd805cd1b09d
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 26455
content:
"[...] to further inter-disciplinary research on underlying transformations \r towards the Paris climate goals and other sustainable development \r goals (Kriegler et al. 2018c; Sachs et al. 2019b)."


id: bdbb7ea672964f222125d9508a60174a
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 30640
content:
"Third, climate change scenarios are used to integrate knowledge \r and analysis between the three different climate change research \r communities working on the climate system and its response to \r human interference (linked to WG I of the IPCC), climate change \r impacts, adaptation and vulnerability (linked to WGII) and climate \r change mitigation (linked to WGIII) (O'Neill et al. 2016; IPCC \r 2000; van Vuuren et al. 2011b) (Annex III.II.1.3). This involves the \r adoption of common scenario frameworks that allow the consistent \r use of, for example, shared emissions scenarios, socio-economic \r development scenarios and climate change projections (Moss et al. \r 2010; Kriegler et al. 2012; van Vuuren et al. 2012; O'Neill et al. 2014; \r van Vuuren et al. 2014). The integrative power of scenarios extends \r beyond the climate change research community into neighbouring \r fields such as the social sciences and ecology (Pereira et al. 2020; \r [...]"


id: cba9d1889efaae62239a8b41c4279793
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
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vector_id: 33157
content:
"[...] Rosa et al. 2020). To foster such integration, underlying scenario \r narratives have proven extremely useful as they allow researchers to \r develop and link quantitative scenario expressions in very different \r domains of knowledge (O'Neill et al. 2020)."


id: 49b57603e9ff4b70d3fd68b0a85c0d53
created_at: 2023-04-19 13:23:22
updated_at: 2023-04-19 13:23:22
content_type: text
index: climate_gpt_v2
vector_id: 10200
content:
"Second, climate change scenarios are developed to explore pathways \r towards long-term climate goals. Goal-oriented scenarios often carry \r the word 'pathway' in their name, such as climate change mitigation \r pathway, climate change adaptation pathway, or more generally \r climate change transition or transformation pathway. They are \r sometimes called 'backcasting'4\r  scenarios, or 'short backcasts', in \r the literature, particularly when contrasted with forecasts (Robinson \r 1982). Goal-oriented/backcasting scenarios are inherently normative \r and intricately linked to human intervention. They can be used to \r compare and contrast different courses of actions. For example, \r they are applied in climate change mitigation analysis by comparing \r reference scenarios without or with only moderate climate policy \r intervention, sometimes called baseline scenarios, with mitigation \r pathways that achieve certain climate goals (Grant et al. 2020). \r [...]"


id: 76608c42e1c583d5e8bb1454c8d92cdc
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 18051
content:
"[...] Transformation pathways to climate goals are examples of \r backcasting scenarios. Among other things, they can be used to learn \r about the multi-dimensional trade-offs between raising or lowering "


id: ba91a89f77e8213f81213c934bcccc1d
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 30038
content:
"Global mitigation scenarios are mostly derived from global integrated \r assessment models (Annex III.I.9) and have been developed in \r single model studies as well as multi-model comparison studies. \r The research questions of these studies have evolved together with \r the climate policy debate and the knowledge about climate change, \r drivers, and response measures. The assessment of global mitigation \r pathways in the Fifth Assessment Report (AR5) (Clarke et al. 2014) \r was informed, inter alia, by a  number of large-scale multi-model \r studies comparing overshoot and not-to-exceed scenarios for a range \r of concentration stabilisation targets (Energy Modelling Forum (EMF) \r study 22: EMF22) (Clarke et al. 2009), exploring the economics of \r different decarbonisation strategies and robust characteristics of the \r energy transition in global mitigation pathways (EMF27, RECIPE) \r (Luderer et al. 2012; Krey and Riahi 2013; Kriegler et al. 2014a), and \r [...]"


id: be3c77f75b17b6fc8654b1e5eb1ac563
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 30736
content:
"[...] analysing co-benefits and trade-offs of mitigation strategies with \r energy security, energy access, and air quality objectives (Global \r Energy Assessment: GEA) (McCollum et al. 2011; Riahi et al. 2012; \r McCollum et al. 2013; Rao et al. 2013; Rogelj et al. 2013b). They also \r investigated the importance of international cooperation for reaching \r ambitious climate goals (EMF22, EMF27, AMPERE) (Clarke et al. \r 2009; Blanford et al. 2014b; Kriegler et al. 2015b), the implications of \r collective action towards the 2degC goal from 2020 onwards vs delayed \r mitigation action (AMPERE, LIMITS) (Kriegler et al. 2014b; Riahi et al. \r 2015), and the distribution of mitigation costs and burden-sharing \r schemes in global mitigation pathways (LIMITS) (Tavoni et al. 2014, \r 2015). Scenarios from these and other studies were collected in \r a  scenario database supporting the AR5 assessment (Krey et al. \r 2014). With a shelf life of 8 to 14 years, they are now outdated and \r [...]"


id: 2aa6a7575b2dc66ab02b4a4cfd6db538
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 4732
content:
"A large variety of recent modelling studies, mostly based on individual \r models, deepened research on a diverse set of questions (Annex III.\r II.3.2). Selected examples are the impact of peak vs end-of-century \r targets on the timing of action in mitigation pathways (Rogelj et al. \r 2019a; Strefler et al. 2021a); demand-side driven deep mitigation \r pathways with sustainable development co-benefits (Bertram et al. \r 2018; Grubler et al. 2018; van Vuuren et al. 2018); synergies and \r trade-offs between mitigation and sustainable development goals \r (Fujimori et al. 2020; Soergel et al. 2021); and the integration of \r climate impacts into mitigation pathways (Schultes et al. 2021). \r There have also been a number of recent sectoral studies with global \r integrated assessment models and other global models across all \r sectors, for example the energy sector (IRENA 2020; Kober et al. \r 2020; IEA 2021) and transport sector (Edelenbosch et al. 2017a; \r [...]"


id: b34e0d9a1ede102070a29708ffa7359d
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28788
content:
"[...] Mercure et al. 2018; Zhang et al. 2018; Fisch-Romito and Guivarch \r 2019; Rottoli et al. 2021; Lam and Mercure 2021; Paltsev et al. \r 2022). Very recent work investigated the impact of COVID-19 on \r mitigation pathways (Kikstra et al. 2021a) and co-designed global \r scenarios for users in the financial sector (NGFS 2021). In addition \r to these policy-, technology- and sector-oriented studies, a  few \r diagnostic studies developed mitigation scenarios to diagnose model \r behaviour (Harmsen et al. 2021) and explore model harmonisation \r (Giarola et al. 2021)."


id: 69fb857cf2f27a6495bffa1e22c3ccb9
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 15909
content:
"Since AR5, many new studies published global mitigation pathways \r and associated emissions projections. After the adoption of the \r Paris Agreement, several large-scale multi-model studies newly \r investigated pathway limiting warming to 1.5degC (ADVANCE: Luderer \r et al. (2018); CD-LINKS: McCollum et al. (2018a); ENGAGE: Riahi et al. \r (2021); SSPs: Rogelj et al. (2018b)), allowing this report to conduct \r a  robust assessment of 1.5degC pathways. Most scenario studies \r took the hybrid climate policy architecture of the Paris Agreement \r with global goals, nationally determined contributions (NDCs) and \r an increasing number of implemented national climate policies \r as a  starting point, including hybrid studies with participation of \r global and national modelling teams to inform the global stocktake \r (ENGAGE: Fujimori et al. (2021); COMMIT: van Soest et al. (2021); CD\u0002LINKS: Schaeffer et al. (2020), Roelfsema et al. (2020)). Multi-model \r [...]"


id: 5ff4fa774afeca0eda956b5755cbf67b
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14191
content:
"[...] studies covered a range of scenarios from extrapolating current policy \r trends and the implementation of NDCs, respectively, to limiting \r warming to 1.5degC-2degC with immediate global action and after passing \r through the NDCs in 2030, respectively. These scenarios are used to \r investigate, among others, the end-of-century warming implications \r of extrapolating current policy trends and NDCs (Perdana et al. 2020); \r the ability of the NDCs to keep limiting warming to 1.5oC-2degC in reach \r (Luderer et al. 2018; Vrontisi et al. 2018; Roelfsema et al. 2020), the \r scope for global accelerated action to go beyond the NDCs in 2030 \r (van Soest et al. 2021), and the benefits of early action vs the risk of \r overshoot and the use of net negative CO2 emissions in the long\u0002"


id: a0d8a22e49572374a7f86307e5aa9c9f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25518
content:
"thermal comfort (expressed as degree-days) (Creutzig et al. 2018). \r Service transition pathways seek to meet adequate levels of such \r services with minimal carbon emissions, using combinations of \r demand- and supply-side options. Ideally this is done by improving \r the efficiency of service provision systems to minimise overall \r final energy and resource demand, thereby reducing pressure on \r supply-side and carbon dioxide removal technologies (Grubler \r et al. 2018). Specifically, this includes providing convenient access \r to end-use services (health care, education, communication, etc.), \r while minimising both primary and end-use energy required. \r Service transition pathways provide a compelling scenario narrative \r focused on well-being, resulting in technology and policy pathways \r that give explicit priority to decent living standards. Furthermore, \r more efficient service provision often involves combinations of \r [...]"


id: 4054134c95816b3a574f971c7186964e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 8512
content:
"[...] behavioural, infrastructural and technological change, expanding \r the options available to policymakers for achieving mitigation goals \r (van Sluisveld et al. 2016, 2018). These dimensions are synergistic, \r in particular in that behavioural and lifestyle changes often require \r infrastructures adequately matching lifestyles. Service transition \r scenarios are primarily assessed in Chapter 5 of the report."


id: 7ac710674f89c64cacbb4b8edaedd33
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 18800
content:
"There are also a  range of sector transition scenarios, both on the \r global and the country level. These include scenarios for the \r transition of the electricity, buildings, industry, transport and AFOLU \r sectors until 2050. Due to the accelerated electrification in mitigation \r pathways, sector coupling plays an increasingly important role to \r overcome decarbonisation bottlenecks, complicating a  separate \r sector-by-sector scenario assessment. Likewise, the energy-water\u0002land nexus limits the scope of a separate assessment of the energy \r and agricultural sectors. Nevertheless, sector transition scenarios \r play an important role for this assessment as they can usually offer \r much more technology, policy and behaviour detail than integrated \r assessment models. They are primarily assessed in the sector chapters \r of the report. Their projections of emissions reductions in the sectors \r in the near to medium term is used to check the sector dynamics of \r [...]"


id: afd2da30978bab187d39750b5f7fa401
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28169
content:
"For the first three assessment reports, the IPCC directly commissioned \r emission scenarios with social, economic, energy and partially \r policy aspects as drivers of projected GHG emissions. The first set \r of scenarios, the 'SA90' of the IPCC First Assessment Report (IPCC \r 1990), had four distinct scenarios, 'business-as-usual' and three \r policy scenarios of increasing ambition. The set of 'IS92' scenarios \r used in the Second Assessment Report investigated variations of \r business-as-usual scenarios with respect to uncertainties about the \r key drivers of economic growth, technology and population (Leggett \r et al. 1992). The SRES scenarios from the IPCC Special Report on \r Emission Scenarios (SRES) (IPCC 2000) were produced by multiple \r modelling organisations and were used in the Third and Fourth \r Assessment reports. Four distinct scenario families were characterised \r by narratives and projections of key drivers like population \r [...]"


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created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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"[...] development and economic growth (but no policy measures) \r to examine their influence on a  range of GHG and air pollutant \r emissions. Until the Fourth Assessment Report, the IPCC organised \r the scenario development process centrally. Since then, scenarios are \r developed by the research community and the IPCC limited its role \r to catalysing and assessing scenarios. To shorten development times, \r a parallel approach was chosen (Moss et al. 2010) and representative \r concentration pathways (RCPs) were developed (van Vuuren et al. \r 2011b) to inform the next generation of climate modelling for the \r Fifth Assessment Report. RCPs explored four different emissions and \r atmospheric composition pathways structured to result in different \r levels of radiative forcing in 2100: 2.6, 4.5, 6.0 and 8.5 W m-2. They \r were used as an input to the Climate Model Intercomparison Project \r Phase 5 (CMIP5) (Taylor et al. 2011) and its results were assessed in \r AR5 (Collins et al. 2013)."


id: b297e3ec136a8fbc2a23b24fd36df56d
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
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content:
"Recent transition scenarios considered overarching accelerated \r climate mitigation strategies across multiple sectors, including \r demand reduction, energy efficiency improvement, electrification \r and switching to low-carbon fuels. The sectoral strategies considered \r are often specific to national resource availability, political, economic, \r climate, and technological conditions. Many sectoral transition \r strategies have focused on the energy supply sectors, particularly \r the power sector, and the role for renewable and bio-based fuels in \r decarbonising energy supply and carbon capture and sequestration \r (CCS). Some studies present comprehensive scenarios for both supply\u0002side and demand-side sectors, including sector-specific technologies, \r strategies, and policies. Nearly all demand sector scenarios have \r emphasised the need for energy efficiency, conservation and \r reduction through technological changes, with a limited number of \r [...]"


id: eadaa43ca46ff5019269023e147f97a1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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vector_id: 38683
content:
"[...] models also exploring possible behavioural changes enabled by new \r technological and societal innovations."


id: 88a48533dd3051f54274324fbc8f2509
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 21201
content:
"The current scenario framework for climate change research (Kriegler \r et al. 2014c; O'Neill et al. 2014; van Vuuren et al. 2014) is based on \r the concept of Shared Socio-economic Pathways (SSPs) (Kriegler et al. \r 2012; O'Neill et al. 2014). Unlike their predecessor scenarios from \r the SRES (IPCC 2000), their underlying narratives are motivated by \r the purpose of using the framework for mitigation and adaptation \r policy analysis. Hence the narratives are structured to cover the space \r of socio-economic challenges to both adaptation and mitigation. \r They tell five stories of sustainability (SSP1), middle of the road \r development (SSP2), regional rivalry (SSP3), inequality (SSP4) and \r fossil-fuelled development (SSP5) (O'Neill et al. 2017). SSP1, SSP2, \r and SSP3 were structured to explore futures with socio-economic \r challenges to adaptation and mitigation increasing from low to high \r with increasing number of SSP. SSP4 was structured to explore a world \r [...]"


id: 5c2c2a1910cdf14152b1a21b5e6b398f
created_at: 2023-04-19 13:23:23
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content:
"[...] with high socio-economic challenges to adaptation but low socio\u0002economic challenges to mitigation, while SSP5 explored a world with \r low challenges to adaptation but high challenges to mitigation. The \r five narratives have been translated into population and education \r (Kc and Lutz 2017), economic growth (Crespo Cuaresma 2017; Dellink \r et al. 2017; Leimbach et al. 2017a), and urbanisation projections \r (Jiang and O'Neill 2017) for each of the SSPs."


id: d6cba73802f5b3a0b8a3c1c9410cb88f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 35100
content:
"The new SSP-based emissions and concentrations pathways provided \r the input for CMIP6 (Eyring et al. 2015; O'Neill et al. 2016) and its \r climate change projections are assessed in AR6 (WGI Cross-chapter \r Box 1.2, WGI Chapter 4). From the original set of more than 100 SSP\u0002based energy-land use-emissions scenarios produced by six IAMs \r (Figure  4), five Tier 1 scenarios (SSP1-1.9, SSP1-2.6, SSP2-4.5, \r SSP3-7.0, SSP5-8.5), and four Tier 2 scenarios (SSP4-3.4, SSP4-6.0, \r variants of SSP7-3.0, SSP5-3.4) were selected7\r  (O'Neill et al. 2016), \r further processed and harmonised with historic emissions and \r land-use change estimates (Gidden et al. 2019; Hurtt et al. 2020), \r and then taken up by CMIP6 models. WGI focuses its assessment \r of CMIP6 climate change projections on the five Tier 1 scenarios \r (WGI Chapter 4), but also uses the Tier 2 scenarios where they allow \r assessment of specific aspects like air pollution. All SSP-based IAM \r [...]"


id: f60acdf351789a281bd0f311e37b4794
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 40644
content:
"[...] scenarios from the original studies are included in the AR6 emissions \r scenario database and are part of the assessment of global mitigation \r pathways in Chapter 3."


id: 1289fe85087035d9d333228efb8718b8
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 463
content:
"The SSP narratives and associated projections of socio-economic \r drivers provide the core components for building SSP-based scenario \r families. These basic SSPs are not scenarios or goal-oriented pathways \r themselves (despite carrying 'pathway' in the name), but building \r blocks from which to develop full-fledged scenarios. In particular, \r their basic elements do not make quantitative assumptions about \r energy and land use, emissions, climate change, climate impacts \r and climate policy. Even though including these aspects in the \r scenario-building process may alter some of the basic elements, such \r as projections of economic growth, the resulting scenario remains \r associated with its underlying SSP. To improve the ability of SSPs \r to capture socio-economic environments, basic SSPs have been \r extended in various ways, including the addition of quantitative \r projections on further key socio-economic dimensions like inequality \r [...]"


id: e715f19f783a63a0ffe0ca29e649a4e1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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vector_id: 37952
content:
"[...] (Rao et al. 2019), governance (Andrijevic et al. 2020b), and gender \r equality (Andrijevic et al. 2020a). Extensions also included spatially \r downscaled projections of, for example, population developments \r (Jones and O'Neill 2016). By now, the SSPs have been widely used in \r climate change research ranging from projections of future climate \r change to mitigation, impact, adaptation and vulnerability analysis \r (O'Neill et al. 2020)."


id: b14bbb2a94e96cfdbf6931a6a05a1079
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 28423
content:
"IAMs could not identify SSP-based emissions scenarios for all \r combinations of SSPs and RCPs (Riahi et al. 2017; Rogelj et al. \r 2018b) (Figure 4). The highest emission scenarios leading to forcing \r levels similar to RCP8.5 could only be obtained in a  baseline \r without climate policy in SSP5 (SSP5-8.5). Since by now climate \r policies are implemented in many countries around the world, \r the likelihood of future emission levels as high as in SSP5-8.5 has \r become small (Ho et al. 2019). Baselines without climate policies \r for SSP1 and SSP4 reach up to 6.0-7.0 W m-2, with baselines for \r SSP2 and SSP3 coming in higher at around 7.0 W m-2. On the lower \r end, no 1.5degC (RCP1.9) and likely 2degC scenarios (RCP2.6) could be \r identified for SSP3 due to the lack of cooperative action in this \r world of regional rivalry. 1.5degC scenarios (RCP1.9) could only be \r reached by all models under SSP1 assumptions. Models struggled \r [...]"


id: 40ccdee633dcba13a80a89aaef7e0191
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 8588
content:
"[...] to limit warming to 1.5degC under SSP4 assumptions due to limited \r ability to sustainably manage land, and under SSP5 assumptions \r due to their high dependence on ample fossil fuel resources in the \r baseline (Rogelj et al. 2018b)."


id: 2cac9656a05b70f97ef09c9087e83181
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 5124
content:
"Target setting: Goal-oriented scenarios in the climate scenario \r literature initially focused on concentration stabilisation but have \r now shifted towards temperature limits and associated carbon \r budgets. In early model intercomparisons, climate targets were \r often specified as a CO2-equivalent concentration level, for example, \r 450ppm CO2-eq or 550ppm CO2-eq (Clarke et al. 2009). These \r targets were either applied as not-to-exceed or overshoot targets. \r In the latter case, concentration levels could be returned to the \r target level by 2100. Overshoot was particularly allowed for low \r concentration and temperature targets as many models could not \r find a solution otherwise (Clarke et al. 2009; Blanford et al. 2014b; \r Kriegler et al. 2014a; Rogelj et al. 2018b). Bioenergy with carbon \r capture and storage (BECCS) was an important technology that \r facilitated aggressive targets to be met in 2100. Due to its ability \r [...]"


id: 6f869fff2afce537d87dc3913607f161
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 16884
content:
"[...] to remove CO2 from the atmosphere and produce net negative CO2\r emissions, it enabled overshoot of the target, leading to a distinctive \r peak-and-decline behaviour in concentration, radiative forcing, and \r temperature (Clarke et al. 2014; Fuss et al. 2014). The mitigation "


id: f8d812663f88d98726b5e4a6291a10ff
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 41142
content:
"contrasting these benchmark cases with pathways derived under the \r assumption of regionally fragmented and heterogeneous mitigation \r policy regimes (Blanford et al. 2014b; Kriegler et al. 2015b, 2018b; \r Roelfsema et al. 2020; van Soest et al. 2021; Bauer et al. 2020b). \r For example, the Shared Policy Assumptions (Kriegler et al. 2014c) \r used in the SSP-RCP framework allow for some fragmentation of \r policy implementation, and many scenarios follow current policies or \r emission pledges until 2030 before implementing stringent policies \r (Riahi et al. 2015; Vrontisi et al. 2018; Roelfsema et al. 2020). Other \r studies assume a  gradual strengthening of emissions pledges and \r regulatory measures converging to a globally harmonised mitigation \r regime slowly over time (Kriegler et al. 2018b; van Soest et al. 2021). \r With increasing announcements of mid-century strategies and the \r rise of net-zero CO2 or GHG targets, global mitigation scenario \r [...]"


id: 331f6a1e53a1b272de6d4487e015ddfc
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 6250
content:
"[...] analysis has begun to build in nationally-specific policy targets until \r mid-century (NGFS 2021)."


id: 91ce48a356f39edbc8d9d17b75b06deb
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 22874
content:
"Socio-economic drivers: Key socio-economic drivers of emission \r scenarios are assumptions on population and economic activity. \r There are other socio-economic assumptions, often included in \r underlying narratives (O'Neill et al. 2017), that strongly affect \r energy demand per capita or unit of GDP and dietary choices (Bauer \r et al. 2017; Popp et al. 2017; Grubler et al. 2018; van Vuuren et al. \r 2018). The SSPs are often used to help harmonise socio-economic \r assumptions, and further explore the scenario space. Many studies \r focus on the middle-of-the-road SSP2 as their default assumption, \r and many use SSP variations to explore the sensitivity of their results \r to socio-economic drivers (Marangoni et al. 2017; Riahi et al. 2017; \r Rogelj et al. 2017). While the SSPs help harmonisation, they are not \r unique and do not fully explore the scenario space (O'Neill et al. \r 2020). A  wider range of narratives describing alternative worlds \r [...]"


id: 9fea1cb0b395dfebb82a7de51930cbf6
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 25343
content:
"[...] is also conceivable. The sustainability world (SSP1), for example, is \r a world with strong economic growth, but sustainability worlds with \r low growth or even elements of degrowth in developed countries \r could also be explored. Thus, standardisation of scenario narratives \r and drivers has advantages, but can also risk narrowing the scenario \r space that is explored by the literature. Consequently, many studies \r in the literature have adopted other socio-economic assumptions, \r for example with regard to population and GDP (Kriegler et al. \r 2016; Gillingham et al. 2018) and sustainable development trends \r (Soergel et al. 2021)."


id: f644c3b295187da3e3a8b03e2b310832
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
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content:
"or thousands of technologies. Despite the importance of technology \r costs (Creutzig et al. 2017), there has been limited comparison of \r technology assumptions across models (Kriegler et al. 2015b; Krey \r et al. 2019). There is, however, a substantial literature on the sensitivity \r of mitigation scenarios to technology assumptions, including \r model comparisons (Kriegler et al. 2014a; Riahi et al. 2015), single\u0002model sensitivity studies (McJeon et al. 2011; Krey and Riahi 2013; \r Giannousakis et al. 2021) and multi-model sensitivity studies (Bosetti \r et al. 2015). Not only are the initial technology costs important, \r but also how these costs evolve over time either exogenously or \r endogenously. Since IAMs have so many interacting technologies, \r assumptions on one technology can affect the deployment of another. \r For example, limits on solar energy expansion rates, or integration, \r may lead to higher levels of deployment for alternative technologies. \r [...]"


id: 4e2a34d5cb30dd4d79867f87e4c2535c
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index: climate_gpt_v2
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content:
"[...] Because of these interactions, it can be difficult to determine what \r factors affect deployment across a range of models."


id: f389742582c74209707ef96a2e896f67
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 40223
content:
"The calls for scenarios issued in preparation of this assessment report \r allowed the collection of a  large ensemble of scenarios, coming \r from many modelling teams using various modelling frameworks \r in many different studies. Although a  large ensemble of scenarios \r was gathered, it should be acknowledged that only a portion of the \r full uncertainty space is investigated, and that the distribution of \r the scenarios within the ensemble reflects the context of the studies \r the scenarios were developed in. This introduces 'biases' in the \r ensemble, for example, (i) the topics of the scenario studies collected \r in the database determine coverage of the scenario space, with large \r model-comparison studies putting large weight on selected topics \r over less explored topics explored by individual models, (ii)  some \r models are more represented than others, (iii) only 'optimistic' \r models (i.e.,  models finding lower mitigation costs) reach the \r [...]"


id: d8d1303da8f33a28f582918c8c591f06
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updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 35437
content:
"[...] lowest mitigation targets (Tavoni and Tol 2010). Where appropriate, \r sampling bias was recognised in the assessment, but formal methods \r to reduce bias were not employed due to conceptual limitations."


id: 13f356f19387fbc3f6b5f10992bb1335
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updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 726
content:
"Furthermore, although attempts have been made to elicit scenario \r likelihoods from expert knowledge (Christensen et al. 2018), \r scenarios are difficult to associate with probabilities as they typically \r describe a  situation of deep uncertainty (Grubler and Nakicenovic \r 2001). This and the non-statistical nature of the scenario ensemble \r collected in the database do not allow a probabilistic interpretation \r of the distribution of output variables in the scenario database. \r Throughout the report, descriptive statistics are used to describe \r the spread of scenario outcomes across the scenarios ensemble. The \r ranges of results and the position of scenarios outcomes relative to \r some thresholds of interest are analysed. In some figures, the median \r of the distribution of results is plotted together with the interquartile \r range and possibly other percentiles (5th-10th-90th-95th) to facilitate \r the assessment of results, but these should not be interpreted in \r [...]"


id: 842d99f2c39b6dbc304ebb05c1091377
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updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
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content:
"The WGIII assessment draws on the full literature on mitigation \r scenarios. To support the assessment, as many mitigation scenarios \r in the literature as possible were collected in a scenario database \r with harmonised output reporting (Annex III.II.3). The collection of \r mitigation pathways in a common database is motivated by a number \r of reasons: First, to establish comparability of quantitative scenario \r information in the literature which is often only sporadically available \r from tables and figures in peer-reviewed publications, reports and \r electronic supplementary information. Moreover, this information \r is often reported using different output variables and definitions \r requiring harmonisation. Second, to increase latitude of the \r assessment by establishing direct access to quantitative information \r underlying the scenario literature. Third, to improve transparency \r and reproducibility of the assessment by making the quantitative \r [...]"


id: 84c8c5c367abc4ed8c49def6f2aade6d
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 20505
content:
"[...] information underlying the scenario figures and tables shown in \r the report available to the readers of AR6. The use of such scenario \r databases in AR5 WGIII (Krey et al. 2014) and SR1.5 (Huppmann et al. "


id: a322c913882b72683e5d41469840e584
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25912
content:
"Harmonisation: IAMs may use different historical datasets, and \r emission scenarios submitted to the AR6 WGIII scenario database \r (Annex III.II.3) are therefore harmonised against a common source \r of historical emissions. To be consistent with WGI, we use the \r same historical emissions that were used for CMIP6 and RCMIP \r (Gidden et al. 2018; Nicholls et al. 2020b). This dataset comprises \r many different emission harmonisation sources (Velders et al. 2015; \r Gutschow et al. 2016; Le Quere et al. 2016; van Marle et al. 2017; \r Meinshausen et al. 2017; Hoesly et al. 2018), including estimates \r of CO2 emissions from agriculture, forestry, and land-use change \r (mainly CEDS, (Hoesly et al. 2018)) which are on the lower end of \r historical observation uncertainty as assessed in Chapter  2. The \r harmonisation is performed so that different climate futures resulting \r from two different scenarios are a result of different future emission \r [...]"


id: 4a1302e8f2b509541b65212bf59bd191
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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content:
"[...] evolutions within the scenarios, not due to different historical \r definitions and starting points. Sectoral CO2 emissions from energy \r and industrial processes and CO2 from agriculture, forestry, and \r land-use change were harmonised separately. All other emissions \r species are harmonised based on the total reported emissions per \r species. For CO2 from energy and industrial processes we use a ratio\u0002based method with convergence in 2080, in line with CMIP6 (Gidden \r et al. 2018, 2019). For CO2 from agriculture, forestry, and land-use \r change and other emissions species with high historical interannual \r variability, we use an offset method with convergence target 2150, \r to avoid strong harmonisation effects resulting from uncertainties in \r historical observations. For all remaining fluorinated gases (F-gases), \r constant ratio harmonisation is used. For all other emissions species, \r we use the default settings of Gidden et al. (2018, 2019a)."


id: 2b853408cacc3b76bed39bfa8db3c5d9
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 4911
content:
"and industrial process CO2, land use CO2, CH4, and N2O emissions \r to avoid infilling gases that have large individual radiative forcing \r contributions and cannot be infilled with high confidence. Models \r that did not meet this minimum reporting requirement were not \r included in the climate assessment. Infilling is performed following \r the methods and guidelines in Lamboll et al. (2020). Missing species \r are infilled based on the relationship with CO2 from energy and \r industrial processes as found in the harmonised set of all scenarios \r reported to the WGIII scenario database that pass the vetting \r requirements. To ensure high stability to small changes, we apply \r a Quantile Rolling Window method (Lamboll et al. 2020) for aerosol \r precursor emissions, volatile organic compounds and greenhouse \r gases other than F-gases, based on the quantile of the reported CO2\r from energy and industrial processes in the database at each time \r [...]"


id: aaa7637af95ed71b5441a9afd069610c
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updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 27245
content:
"[...] point. F-fases and other gases with small radiative forcing are infilled \r based on a  pathway with lowest root mean squared difference, \r allowing for consistency in spite of limited independently modelled \r pathways in the database."


id: cc949ecfa83c2a4de8ff04a8406621e9
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updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
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content:
"The GSAT projections from the emulator runs are used for classifying \r those emissions scenarios in the AR6 database that passed the initial \r vetting and allowed a  robust climate assessment. MAGICC (v7) \r was selected as emulator for the climate classification of scenarios, \r as it happens to be slightly warmer than the other considered \r climate emulator, particularly for the higher and long-term warming \r scenarios - reflecting long-term warming in line with Earth system \r models (ESMs) (WGI Cross-Chapter Box  7.1). This means that \r scenarios identified to stay below a given warming limit with a given \r probability by MAGICC will in general be identified to have this \r property by the other emulator as well. There is the possibility that \r the other emulator would classify a  scenario in a  lower warming \r class based on their slightly cooler emulation of the temperature \r response. Unlike during the assessment of the SR1.5 database in the \r [...]"


id: c6df5fd826a4735bb1aae1fb7b6644f2
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 32301
content:
"[...] IPCC SR1.5 report, the updated versions of FaIR and MAGICC are \r however very close, providing robustness to the climate assessment. \r MAgiCC and FaIR were both used to assess the overall uncertainty \r in the warming response for a single scenario or a set of scenarios, \r including both parametric and model uncertainty. Specifically, the \r 5th to 95th percentile range across the two emulators is calculated, \r characterising the joint climate uncertainty range of the two models."


id: c4fb066e7525b5d93611ae47e89747e8
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 31963
content:
"WGI-calibrated emulators: Using expert judgement, emulators that \r reproduce the best estimates and uncertainties of the majority of AR6 \r WGI assessed metrics are recommended for scenario classification \r use by WGIII (see WGI Cross-Chapter Box  7.1). MAGICC (v7) was \r used for the main scenario classification, with FaIR (v1.6.2) being \r used to provide additional uncertainty ranges on reported statistics to \r capture climate model uncertainty. The WGI emulators' probabilistic \r parameter ensembles are derived such that they match a range of key \r climate metrics assessed by WGI and the extent to which agreement \r is achieved is evaluated (WGI Cross-Chapter Box 7.1). Of particular \r importance to this evaluation is the verification against the WGI \r temperature assessment of the five scenarios assessed in Chapter 4 \r of WGI (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). \r The inclusion of the temperature assessment as a benchmark for the \r [...]"


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updated_at: 2023-04-19 13:23:23
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index: climate_gpt_v2
vector_id: 10025
content:
"[...] emulators provides the strongest verification that WGIII's scenario \r classification reflects the WGI assessment. The comprehensive nature \r of the evaluation is a  clear improvement on previous reports and \r ensures that multiple components of the emulators, from their climate \r response to effective radiative forcing through to their carbon cycles, \r have been examined before they are deemed fit for use by WGIII."


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content:
"Carbon budgets in WGI and WGIII: The remaining carbon budget \r corresponding to a  certain level of future warming depends on \r non-CO2 emissions of modelled pathways. Box  3.4 in Chapter  3 \r highlighted this key uncertainty in estimating carbon budgets. In this \r section (Figure 5), we put this into the context of the dependence \r of carbon budgets on two aspects of the non-CO2 warming \r contribution: (i) assumptions on historical non-CO2 emissions and \r how they can impact future non-CO2 warming estimates relative to \r a recent reference period (2010-2019) (Panel a) and (ii) the scenario \r set underlying estimates of non-CO2 warming at the time of reaching \r net zero CO2 (Panel b). Both aspects affect the estimated remaining \r carbon budget by changing the non-CO2 warming contribution from \r the base year to the time of reaching net zero CO2. MAGICC7 is \r used in WGI in conjunction with different input files for the historical \r [...]"


id: bfa4aa7d56dcb5a135e0f9db52ef7cc0
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 30986
content:
"[...] warming. For the reported remaining carbon budget estimates (WGI \r CB) WGI used the non-CO2 warming contributions from MAGICC7 \r in line with Meinshausen et al. (2020) and in line with the CMIP6 \r GHG concentration projections, while the WGI emulator setup \r in line with WGI Cross-Chapter Box  7.1 was used for the WGIII \r climate assessment. The WGIII assessment uses MAGICC7 in line \r with Nicholls et al. (2021) in line with the emission harmonisation \r process employed in WGIII (see above). The difference in historical \r assumptions changes the estimated non-CO2 contribution by up to \r about 0.05degC for the lower temperature levels, or slightly more than \r 10% of the warming until 1.5degC relative to 2010-2019. For peak \r warming around 2degC relative to pre-industrial levels (about 0.97degC \r warming relative to 2010-2019 in Figure 5 plots), the difference is "


id: 15649d6de4e0dafe42a1c7e50ec38a49
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 976
content:
"Scenario climate assessment: For the WGIII scenario climate \r assessment, emulators are run hundreds to thousands of times per \r scenario, sampling from an emulator-specific probabilistic parameter \r set, which incorporates carbon cycle and climate system uncertainty in \r line with the WGI assessment (WGI Cross-Chapter Box 7.1). Percentiles \r for different output variables provide information about the spread \r in individual variables for a given scenario, but the set of variables \r for a given percentile do not form an internally consistent climate \r change projection. Instead, joint distributions of these parameter sets \r are employed by the calibrated emulators. Consistent climate change \r projections are represented by individual ensemble member runs and \r the whole ensemble of these individual member runs. To facilitate \r analysis, multiple percentiles of these large (hundred to thousand \r member) ensemble distributions of projected climate variables are \r [...]"


id: f5cb9f9461c48803036b64f04538394c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 40604
content:
"[...] provided in the AR6 scenario database. The emulators provide an \r assessment of global surface air temperature (GSAT) response to \r emission scenarios and its key characteristics like peak warming and "


id: 8be72c6efc99d365e079384af2ad3132
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 21781
content:
"projections by WGI (AR6 WGI Table SPM.1) and vice versa, with \r ranges of results provided to characterise the physical uncertainties \r relevant to assessing climate impacts risk. Common socio-economic \r dimensions are not adopted in WGII due to a  desire to draw on \r the full literature, inform the broad ranges of relevant possibilities \r (climate, development, adaptation, mitigation), and be flexible. \r The impacts literature is wide-ranging and diverse, with a fraction \r based on global socio-economic scenarios. WGII's approach allows \r chapters and cross-chapter boxes to assess how impacts and ranges \r depend on socio-economic factors affecting exposure, vulnerability, \r and adaptation independently, as appropriate for their literature. For \r example, WGII Chapter  16 assesses how Representative Key Risks \r vary under low vs high exposure/vulnerability conditions by drawing \r on impact literature based on Shared Socio-economic Pathways \r [...]"


id: f65ed4276b814277b5d015922e614616
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 40712
content:
"[...] (SSPs). In general, WGII chapters, when possible and conducive \r with their literature, used GWLs or climate projections based on \r Representative Concentration Pathways or SSPs to communicate \r information and facilitate integration and synthesis, with impacts \r results characterised according to other drivers when possible and \r relevant, such as socio-economic conditions."


id: 4648f3d616e92f7b528dc055ce9bc796
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 9586
content:
"However, socio-economic conditions are an important factor \r defining both impacts exposure, vulnerability, and adaptation, \r as well as mitigation opportunity and costs, that needs special \r considerations. The WGIII scenario assessment is using additional \r classifications relating to, inter alia, near-term policy developments, \r technology availability, energy demand, population and economic \r growth (Chapter 3, Section 3.3 and Annex III.II.3.2.2), and a set of \r illustrative mitigation pathways with varying socio-techno-economic \r assumptions (Annex III.II.2.4, Chapter  3, Section  3.2). Synthesising \r WGII assessments of climate change impacts and WGIII assessments \r of climate change mitigation efforts for similar GWLs/global warming \r scenario classes would have to address how socio-techno-economic \r conditions affect impacts, adaptation, and mitigation outcomes. \r Furthermore, a synthesis of mitigation costs and mitigation benefits in \r [...]"


id: 1f87601f746a72829056d8c586b39e8
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 2756
content:
"[...] terms of avoided climate change impacts would require a framework \r that ensures consistency in socio-economic development assumptions \r and emissions and adaptation dynamics and allows for consideration \r of benefits and costs along the entire pathway (O'Neill et al. 2020) \r (Cross-Working Group Box 1 in Chapter 3)."


id: aa42de8059cd063c4349050bd191fe5
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 27186
content:
"In the context of common climate dimensions, WGII considers common \r projected GWL ranges by time period, the timing for when GWLs \r might be reached, and projected continental-level result ranges for \r select temperature and precipitation variables by GWL (average \r and  extremes), as well as sea surface temperature changes by \r GWL and ocean biome. Where available, WGII considers the assessed \r WGI ranges as well as the raw CMIP5 and CMIP6 climate change \r projections (ranges and individual projections) from Earth system \r models (Hauser et al. 2019). With WGII's climate impacts literature \r based primarily on climate projections available at the time of AR5 \r (CMIP5) and earlier, or assumed temperature levels, it was important to \r be able to map climate variable levels to climate projections of different \r vintages and vice versa. WGII's common GWLs are based on AR6 WGI's \r proposed 'Tier 1' dimensions of integration range - 1.5, 2.0, 3.0, and \r [...]"


id: 83971bfd1682d216963f2edac0106d9c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 20297
content:
"[...] 4.0@C (relative to the 1850 to 1900 period), which are simply proposed \r common GWLs to facilitate integration across and within WGs (WGI \r Chapter 1). Within WGII, GWLs facilitate comparison of climate states \r across climate change projections, assessment of the full impacts \r literature, and cross-chapter comparison. Across AR6, GWLs facilitate \r integration across Working Groups of climate change projections, \r climate change risks, adaptation opportunities, and mitigation."


id: 5be660f671841f1fcebf08ff46642d48
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 13427
content:
"For all scenarios reporting global data, a  vetting process was \r undertaken to ensure that key indicators were within reasonable \r ranges for the baseline period - primarily for indicators relating to \r emissions and the energy sector (Table 11). As part of the submission \r process, model teams were contacted individually with information \r on the vetting outcome with regard to their submitted scenarios, \r giving them the opportunity to verify the reporting of their data. \r Checks on technology-specific variables for nuclear, solar and wind \r energy, and CCS, screen not only for accuracy with respect to recent \r developments, but also indicate reporting errors relating to different \r primary energy accounting methods. While the criteria ranges appear \r to be large, the focus of these scenarios is the medium to long term \r and there is also uncertainty in the historical values. For vetting of the \r Illustrative Mitigation Pathways, the same criteria were used, albeit \r [...]"


id: 3245b4691fe32eec58617975a1d7694c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 6099
content:
"[...] with narrower ranges (Table  11). Selected future values were also \r vetted and the result of the vetting reported to authors, but not used \r as exclusion criterion. Where possible the latest values available were \r used, generally 2019, and if necessary extrapolated to 2020 as most "


id: 65d64db399a00fd5f2fc9e55bcf21b8c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 15176
content:
"Changes in climate classification of scenarios since SR1.5: Since \r the definition of warming classes was unchanged from SR1.5 for the \r lower range of scenarios limiting warming to 2degC or lower, changes \r in overall emissions characteristics of scenarios in these classes \r from SR1.5 to AR6 would need to come from the substantially \r larger ensemble of deep mitigation scenarios collected in the AR6 \r database compared to the SR1.5 database and from updates in the \r methodology of the climate assessment. Updates since SR1.5 include \r the methodology for infilling and harmonisation and the use of \r an updated climate emulator (MAGICC v7) to provide consistency \r with AR6 WGI assessment (Annex III.II.2.5.1). Out of the full set of \r SR1.5, 57% of the 411 scenarios that were represented with global \r temperature assessments in SR1.5 also have been assessed in AR6. \r Some SR1.5 scenarios could not be taken on board since they are \r [...]"


id: a3ab7dc08408d0fc11fe72fc4c8afb59
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25998
content:
"[...] outdated (too early emissions reductions) and failed the vetting or do \r not provide sufficient information/data to be included in AR6."


id: f5129ce64ca492b277cc1cdbbd4c029e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 40481
content:
"Table  17 presents the policy classification that was chosen for \r this assessment and the distribution of scenarios across the policy \r classes. There is a top-level distinction between diagnostic scenarios, \r scenarios from cost-benefit analyses, scenarios without globally \r coordinated action, scenarios with immediate such action, and hybrid \r scenarios that move to globally coordinated action after a period of \r diverse and uncoordinated national action. On the second hierarchy \r level, scenarios are classified along distinctive features of scenarios \r in each class. Scenarios without globally coordinated action are \r often used as reference scenarios and come as baselines without \r climate policy efforts, as an extrapolation of current policy trends \r or as implementation and extrapolation of NDCs (Grant et al. 2020). \r Scenarios that act immediately to limit warming to some level can \r be distinguished by whether or not they include transfers to reflect \r [...]"


id: 59362fc3779691ceef9e394a401a7ee4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 12938
content:
"[...] equity considerations (Tavoni et al. 2015; Bauer et al. 2020c; van den \r Berg et al. 2020) or by whether or not they assume additional policies \r augmenting a  global carbon price (Soergel et al. 2021). Scenarios \r that delay globally coordinated action until 2030 can differ in their \r assumptions about the level of near-term action (Roelfsema et al. \r 2020; van Soest et al. 2021)."


id: af613d435981d7bcd57075eead54e30c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28086
content:
"The lowest temperature category (C1, limiting warming to 1.5degC with \r no or low overshoot) used for classifying the most ambitious climate \r mitigation pathways in the literature, indicates that emissions are on \r average higher in AR6 in the near term (e.g., 2030) and the time of \r net-zero CO2 is later by about five years compared to SR1.5 (Figure 6, \r middle panel). These differences can in part be ascribed to the fact \r that historical emissions in scenarios, especially among those that \r passed the vetting, have risen since SR1.5 in line with inventories. \r This increase has moved the attainable near-term emissions \r reductions upwards. As a result, the scenarios in the lowest category \r have also a lower probability of staying below 1.5degC peak warming. \r Using the WGI emulators, we find that the median probability of \r staying below 1.5degC in the lowest category (C1) has dropped from \r about 46% in the SR1.5 scenarios to 38% among the AR6 scenarios. \r [...]"


id: 8b3955f75163b74733c1d01beb0da69b
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 21658
content:
"[...] Note that the likelihood of the SR1.5 scenarios limiting warming to \r 1.5degC with no or limited overshoot has changed from 41% in SR1.5 \r to 46% in AR6 due to the updated climate assessment using the WGI \r AR6 climate emulator. Within C1, the vast majority of scenarios that \r were submitted to AR6 but were not assessed in SR1.5 have median \r peak temperatures close to 1.6degC. The AR6 scenarios in the lowest \r category show higher emissions and have a lower chance of keeping \r warming below 1.5degC, as indicated by the panels showing the \r distribution of peak warming and exceedance probability in AR6 vs \r SR1.5, with for instance C1 median peak temperature warming going "


id: 65cab1c0efc1c84cdc88b2820e7b7ca7
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 15168
content:
"To identify the policy classification of each global scenario in the \r AR6 database, classes are first assigned via text pattern matching \r on all the metadata collected when submitting the scenarios to the \r database. The algorithm first looks for keywords and text patterns \r to establish whether a  scenario represents a  global, fragmented, \r diagnostic or CBA policy setup. Then it looks for evidence on \r the presence of specific regional policies, delayed actions and \r transfers of permits. Eventually the different pieces of evidence \r are harmonised into a  single policy categorisation decision. The \r process has been calibrated on the best-known scenarios belonging \r to the larger model intercomparison projects, and fine-tuned \r on the other scenarios via further validation against the related \r literature, consistency checks on reported emission and carbon \r price trajectories, exchanges with modellers and supervision \r [...]"


id: 4b329b2ec6ff8acae889a3aa20dc2ac1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 10476
content:
"[...] by the involved IPCC authors. If the information available is \r enough to identify a policy category number but not sufficient for \r a subcategory, then only the number is retained (e.g., P2 instead \r of P2a/b/c). A suffix added after P0 further qualifies a diagnostic \r scenario as one of the other policy categories."


id: 649fc3764aa6a14bd629f90a5e97d565
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14985
content:
"Top row: The probability of exceeding 1.5C for scenarios using the AR6 climate assessment pipeline for C1, C2, and C3. All scenarios in AR6 that pass vetting \r requirements and get climate classification C1, C2, or C3, are labelled as 'AR6' (n=541). The scenarios that are both in the AR6 database (passing the vetting) and were used \r for SR1.5 Table 2.4, and are classified as C1, C2 and C3 using the AR6 assessment, are labelled as 'AR6 and SR1.5 overlap' (n=95). 'SR1.5 (n=127)' shows all SR1.5 scenarios \r (except five that were not resubmitted for the AR6 report), including those that failed AR6 vetting, that are classified C1, C2, C3 with the updated AR6 temperature assessment. \r Dashed lines indicate cut-off temperature exceedance probabilities that align with AR6 category definitions. The violin area is proportional to the number of scenarios. Coloured \r [...]"


id: fb4479dbea3016f6957de2fea07b02b0
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 41578
content:
"[...] lines indicate the 25th and 75th percentiles, while the dashed black line indicates the median. The insets in each figure show how the temperature category classifications have \r changed from SR1.5 to AR6 for those scenarios that are in both databases."


id: f67e280a9f3e8fc7d5696982df42fe23
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 40735
content:
"renewable energy penetration and fossil fuel \r phase-out 1742-1749, 1743, 1771\r short-term and long-term transitions 1738-\r 1739\r stranded assets 1730, 1744-1745, 1747, 1771\r synergies and trade-offs 1729-1730, 1749-\r 1751, 1753-1754, 1755, 1756, 1757-1758, \r 1759-1760, 1761-1764, 1762, 1770-1771\r systems-level perspective 1737-1738, 1770\r transition process 1748-1749\r water-energy-food nexus 1751-1754, 1758, \r 1759, 1760-1761\r acceptability of policy or system change* 382, \r 556, 702-703, 1658\r carbon taxes 466, 507\r CDR methods 1277, 1279\r fossil fuels 648\r nuclear power 640-641\r renewable energy 633, 637, 639, 646, 649\r access\r to finance 1321, 1549, 1550\r to food 1279-1280\r to modern energy services* 9, 622-623, \r 623-624, 1000-1001, 1001\r for clean cooking 517, 548, 559, 623, 623, \r 1003-1004, 1603-1604\r electrification co-benefits 705, 1001, \r 1003-1004\r and emissions 218, 254-255\r energy security 1005\r inequity 516-521\r to services 514, 515, 516-517, 517-518\r [...]"


id: 8e449c5b8b95362e7efd823ca2409ba0
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 22221
content:
"[...] to technology and infrastructure services \r 517-518\r see also energy access*\r action research 1737\r active travel/transport 908, 909, 926, 1052\r activism 165, 506, 525, 556-557, 1374-1375, \r 1375, 1508-1509, 1765\r see also climate litigation\r adaptation* 40-43, 525-527, 1207\r adaptive management 1406\r buildings 956, 996-998\r capacity building 1686\r finance/financing needs 915-916, 1550, 1554, \r 1555, 1573-1574\r international cooperation 1404-1405, 1474, \r 1686\r and just transitions 1747\r and mitigation 1359, 1400-1405, 1402, \r 1403-1404\r AFOLU sector 753-754, 830\r and bioeconomy 1307-1311\r development pathways 468-471\r sustainable development context 1401-\r 1403, 1756-1759, 1771\r National Adaptation Plans (NAPs) 1401, 1574\r Paris Agreement 1474\r synergies and trade-offs 1400-1403, 1401, \r 1729, 1756-1759\r technology and innovation 1686, 1699\r transport sector 1057"


id: cac66b6cfbb3e1910e61eaf719681962
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 33016
content:
"A\r absolute decoupling 242, 243, 243, 244, 274, \r 452, 513\r absorptive capacity 1676, 1685\r accelerating mitigation 40, 45, 153-154, \r 411-413, 414, 415-447, 477, 1409-1411, 1412, \r 1694\r behaviour and lifestyle changes 412, 440, 460, \r 463-464, 505\r cross-sector and economy-wide system change \r 1359, 1406-1411\r demand-side measures 512\r enabling conditions 412-413, 414, 459-464, \r 460, 1359, 1407\r equity and just transitions 189, 472-474, 474, \r 475, 517-518, 1407\r impact on development objectives 411, \r 442-446\r international cooperation 356-358, 471, 1410\r obstacles 411, 446-447, 446, 447\r pathways 356-358, 357, 435-442, 436-437, \r 476\r policies 412-413, 444, 460, 461\r policy integration 461, 464-468, 471, 1359, \r 1394\r public support 1358\r risks and uncertainties 471-472\r and shifting development pathways 414-415, \r 459-468, 471-472\r societal perspective 517-518, 1358\r unsuitable 'structures' 446, 447\r accelerating transition 45, 185, 255, 256-259, \r 562-564, 565, 1772\r [...]"


id: 3a894abbafc7f83bbfdf46ea1bbab1c6
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 7502
content:
"[...] accelerating transition in sustainable \r development context 147, 1727-1772\r adaptation and mitigation 1756-1759, 1771\r AFOLU sector 1749-1751, 1770-1771\r barriers 1729, 1730-1731, 1764-1770, 1771\r cities, infrastructure and transport 1755-1756, \r 1770\r cross-sectoral transitions 1749-1764, 1770\r digitalisation 1730, 1759-1761\r enabling conditions 1729, 1730-1731, \r 1764-1770, 1771\r factors influencing transitions 1729, 1734-\r 1738, 1770\r FAQs 1772\r governance 1729, 1735-1736, 1767-1768, \r 1772\r industry 1754-1755\r institutional factors 1735-1736, 1767-1768, \r 1772\r international cooperation 1732-1734, 1735, \r 1736\r just transition 1729, 1730, 1731, 1745-1749, \r 1768-1769\r pathways and scenarios 1739-1742\r policy coherence and integration 1731, 1733, \r 1736, 1758, 1759, 1769\r political economy 1735-1736, 1743, 1748, \r 1768, 1770"


id: c9f33baf15b690263d347c572b3997a9
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 32857
content:
"1.5degC pathway* 14-25, 15-16, 21-23, 26-27, 44, \r 174-175, 175, 274, 298-299, 332, 424-426, \r 435, 1585, 1585, 1871\r carbon lock-in and stranded assets 28, 188, \r 697, 698\r co-benefits and trade-offs 376, 1741-1742\r emissions gap 14, 14\r energy system scenarios 436-437, 615, \r 625-626, 685-700, 685-692, 694-695, 698, \r 699, 703\r fossil fuels use and phase-out 267, 438, \r 625-626, 698-700\r high renewable accelerated pathways 436-437\r industry sector 1199-1200, 1200\r investment and finance 158-159, 300, 1550\r land occupation and mitigation 1297, 1298\r mitigation costs 156, 703\r and net zero 174, 324, 325-327, 328, 329, 337\r remaining carbon budget 6-7, 174, 188, 319, \r 349\r sectoral strategies 337\r technology cost and deployment 1658, \r 1658-1659\r see also long-term goal compatible mitigation \r pathways\r 1.5degC scenarios 433-435, 1742, 1743, 1873\r 2degC pathways 14-25, 14, 15-16, 21-23, \r 26-27, 174-175, 175, 274, 298-300, 332, 351, \r 424-426, 435, 1585, 1585\r carbon budgets 174, 1874\r [...]"


id: dbaa645fc8446b118aeb356d6f4cac39
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 35938
content:
"[...] co-benefits and trade-offs 377, 1741-1742\r energy system scenarios 436, 615, 625-626, \r 685-700, 685-692, 694-695, 698, 699, 703\r fossil fuel use and phase-out 267, 438, \r 625-626, 698-700\r industry sector 1199-1200, 1200\r land occupation and mitigation 1297, 1298\r mitigation costs 156, 703\r and net zero 174, 324, 325-327, 328, 329, 337\r sectoral strategies 337\r technology cost and deployment 1658, \r 1658-1659\r see also long-term goal compatible mitigation \r pathways\r 2degC Scenario (2DS) 1201, 1202, 1203\r 2degC scenarios 32, 193, 431, 433, 698-700, 1201, \r 1202, 1203, 1742, 1743, 1873\r 2030 Agenda for Sustainable Development \r 155, 1455-1456, 1485, 1486, 1498, 1732-1733, \r 1738-1739\r Note: * indicates the term also appears in \r the Glossary and n indicates a footnote. \r Italicised page numbers denote tables, \r figures, associated captions and boxed \r material. Bold page numbers indicate entire \r chapter spans.."


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vector_id: 39821
content:
"transport sector 252, 1053, 1055, 1056, \r 1099, 1100, 1101\r trends and drivers 233, 234-235, 236, 238, \r 246\r urban 885, 885, 886\r emissions and land dynamics 806-807\r energy access 548, 568, 623\r energy investment needs 1571, 1571, \r 1603-1604\r energy systems 626, 668, 685, 686, 690, 691, \r 1505\r energy use trends 623\r fire regimes 770\r forest and forestry 767, 770, 816, 820, 1503\r fossil fuels 626, 1746\r geologic CO2 storage potential 641\r grassland area 784\r infrastructure development 769\r investment and finance flows 1562, 1563, 1577, \r 1606, 1746\r investment needs 1571, 1571, 1602, 1603-1604\r land-based emissions/removals 806\r land cover change 807\r land use 767, 768, 784\r local capital markets 1606\r mining and deforestation 770\r mitigation potential 777, 778, 780, 781, 782, \r 783, 784, 810-811, 810, 816, 989, 991\r pathways and scenarios 685, 686, 690, 691, \r 806-807, 806, 888, 888, 889, 891, 892\r per capita floor area 969, 970\r population 313, 883\r rare metals for batteries 1744\r [...]"


id: a8117a667d6fb4823ad54c1c9c7f4e9a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 26782
content:
"[...] REDD+ 1503\r regreening the Sahel 820\r renewable energy projects 1505\r rice cultivation 771\r services for well-being 514, 515\r technology transfer 1502, 1685\r transport demand 1101-1103, 1102\r transport modal trends 1104, 1113\r urban informal economy 870\r urban land expansion 768, 863, 883, 883, 888, \r 888, 889\r urban population 883\r urbanisation 768, 868, 888, 888, 889, 891, 892\r voluntary offsets 814\r see also specific countries\r ggregated approaches 180-182\r griculture and farming methods 788-796, \r 796-799\r agroecological approaches 796-798, 1285, \r 1300, 1310, 1697-1698\r cellular agriculture 1286, 1289, 1294\r climate-smart agriculture (CSA) 470, 795, 828, \r 828-829, 1309, 1757\r conservation agriculture* 470, 797, 798, 1757\r controlled-environment agriculture 1286, 1288\r digital agriculture 1285, 1286, 1288\r farming system approaches 469-470, 796-798\r intensification 768, 1698\r modernisation 455\r regenerative agriculture* 798"


id: 12e65c0f2ac8ad8caf740e48fee3b4d4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 528
content:
"solar PV deployment 1303\r sustainable intensification* 751, 822-823, \r 828-829, 1286, 1288, 1757\r urban and peri-urban 875, 910\r riculture, Forestry and Other Land Use \r (AFOLU)* 33-34, 107-110, 747-831\r accounting methods 750, 752, 756, 758, 759, \r 760-762, 761, 762-763\r adaptation and mitigation 469-471, 753-754, \r 795, 824-825, 826, 830, 1309-1310, \r 1757-1758, 1771\r additionality, permanence and leakage 820-821\r barriers and opportunities 470, 751, 753, 777, \r 779, 780, 781, 783, 784, 785, 786-787, \r 788-790, 791, 792, 793, 794, 796, 800, 803, \r 804, 823-826, 1310\r biodiversity 827-828, 829, 1758\r bioenergy and bio-based options 751, \r 1299-1302\r biochar 789-790\r bioeconomy 1307-1311\r bioenergy/BECCS 789, 799-802, 801-802, \r 809, 823, 831, 1758\r construction materials 995-996, 1308\r biophysical effects 766\r carbon sequestration 781, 784, 785, 788-791, \r 791-792, 821, 823\r CDR methods 1264, 1265, 1273-1277, \r 1275-1276\r climate change impacts 335, 753, 1741\r [...]"


id: bd90ac87d67334454f3cbb4b5a12d48c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 30609
content:
"[...] climate-smart approaches 470, 782, 782-783, \r 795, 800, 828, 828-829, 1309, 1757\r co-benefits and risks 470, 751, 775, 778, 779, \r 780, 781, 783, 784, 785, 786-789, 790, 791, \r 792, 793, 794, 795-796, 799-800, 802-805\r conservation measures 784-787, 798, 815-817, \r 819, 826, 829\r conversion of natural ecosystems 768, 784-786\r cross-sectoral implications 1313, 1730, \r 1770-1771\r demand-side measures 529, 530, 750-751, 753, \r 775, 776, 777, 778, 802-805\r deployment rate 751\r development pathways 452-453, 467-468, \r 469-470\r digitalisation 1653, 1760, 1761\r ecosystem services 827-828, 829\r emissions and removals 8, 159, 750, 754, \r 755-766, 755\r accounting methods 752, 760-762, 761, \r 762-763\r anthropogenic CO2 flux 760-762, 761, \r 762-763\r food system GHG emissions 1280, 1281, \r 1282-1283, 1282\r GHG sources and sinks 755, 765, 766, 1832, \r 1835-1836\r global net CO2 flux 758-759, 758\r methane (CH4) emissions 750, 751, 764-\r 766, 764, 765, 771, 792-793, 795-796, \r [...]"


id: d0598f28e11898299bb47db745bed3de
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 34013
content:
"urban adaptation and mitigation 876-877, \r 877-880, 1758-1759, 1771\r adaptation gap 426, 1574\r adaptation pathways* 469, 1407\r adaptive capacity* 42, 468-471, 828-829, 876, \r 998, 1302, 1686, 1729, 1757\r additionality* 813, 820-821\r adverse side-effects*\r AFOLU sector 770, 779, 780, 781, 800, 803, 827, \r 829, 831, 1743\r for biodiversity and ecosystem services \r 827-828, 829\r bioenergy and BECCS 800, 831\r cross-sectoral perspective 1311-1313\r food system mitigation 803, 1286-1287\r land degradation 827-828\r mining and deforestation 770\r policy evaluation for 1383-1384, 1383\r of renewable energy 1743\r of shift to sustainable healthy diets 803\r of soil carbon management 789\r aerosol masking 159n\r aerosols*\r emissions 24, 159, 221, 232-233\r stratospheric aerosol interventions (SAI) 1489, \r 1490, 1491-1492, 1494\r see also particulate matter (PM)*; short-lived \r climate forcers (SLCFs)*\r afforestation* 272, 323, 471, 751, 766, 767, \r 780-781, 825-826\r [...]"


id: 7e05587d0b628d1cb9a44681a181151a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 19349
content:
"[...] afforestation/reforestation (A/R) 766, 780-781, \r 1264, 1265, 1273-1274, 1276, 1277, 1300-1302\r Afghanistan 1741\r Africa 1823, 1824\r accelerated mitigation pathways 435\r adaptation and mitigation synergies 1401\r AFOLU 453, 768, 806-807, 806, 820, 822, 828, \r 828-829\r emissions 252-253, 253, 254, 756, 759, \r 759, 765, 765, 766\r mitigation potential 777, 778, 780, 781, \r 782, 783, 784, 810-811, 810, 816\r air pollution 442\r buildings energy demand 970, 971, 973, 973\r buildings mitigation potential 989, 991\r climate change impacts on energy supply 668\r climate laws 1361\r climate-related economic losses 1594\r climate-smart agriculture (CSA) 828, 828-829\r climate-smart villages (CSV) 795\r cooking energy/technology 548\r development pathways 453, 453-454\r electromobility 1113\r emissions 218, 335\r AFOLU 252-253, 253, 254, 756, 759, 759, \r 765, 765, 766\r buildings sector 250, 964, 965, 966, 968, \r 978\r consumption-based 241, 242\r embodied in trade 244\r [...]"


id: d71294a880f1f35e5d373910c87a1d40
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 35142
content:
"nitrous oxide (N2O) emissions 750, 751, \r 764-766, 764, 765, 771, 793-794, \r 795-796\r projected emissions with NDCs 419-420, \r 421\r regional net CO2 flux 759-760, 759\r total net GHG flux 756-758, 756, 757\r emissions drivers 246, 252-254, 253, 753, \r 767-773\r emissions reductions 346, 346, 792-796\r emissions trends 750, 751, 753\r global 218, 238, 755-759, 756, 758, \r 764-765, 764\r regional 238, 759-760, 759, 765-766, 765\r sectoral GHGs 236-237, 237, 246, 252-254, \r 253\r FAQs 831\r feasibility 751, 753, 777, 789, 826\r food system 802-804, 1280, 1281, 1282-1283, \r 1282, 1285-1288, 1286\r forest and other ecosystems 779-788, 782-783\r governance 773, 825, 828-829, 1750\r integrated models and scenarios 762-763, \r 792, 801-802, 805-812, 1741, 1855-1856, \r 1868-1869, 1892\r international cooperation 1503-1504, 1514\r investment and finance 751-752, 773, 815, \r 821-822, 824, 824, 1320-1321, 1569\r investment gap 1576-1577\r investment needs 1572, 1573, 1573\r knowledge gaps 830\r land cover change 347\r [...]"


id: 15dfaf524c3c0c6e6112b52aa8035d16
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 1066
content:
"[...] long-term mitigation options 1260\r marginal abatement costs 807-809\r mitigation measures* 751, 752, 755, 774-805, \r 776, 778, 782-783, 791-792, 795, 796-799, \r 801-802, 1260\r mitigation potential, costs and pathways 38-39, \r 335, 762-763, 774-777, 776, 778-779, \r 780-812, 799, 808, 810, 811, 1252-1253, \r 1254-1255, 1257, 1258, 1259-1260\r monitoring, reporting and verification 760-761, \r 826, 830\r Paris Agreement 1469-1470, 1476-1477\r policy development 812-815, 813\r policy impacts 272-273\r policy instruments 751-752, 815-823, \r 828-829, 1382\r regulatory instruments 467-468\r renewable energy impacts 1743\r scenarios and pathways 25, 323, 337, 346-348, \r 346, 347, 799, 805-812, 807, 808, 810, 811, \r 1247, 1297-1298, 1892\r sequestration through CDR 1264, 1265\r short-lived climate forcers (SLCFs)* 766\r subsidies 751, 816, 821-822\r supply-side measures* 751, 753, 775, 776-777, \r 779-802\r and sustainable development 810, 827, 829, \r 1749-1751, 1770, 1771\r [...]"


id: 1f8d44c50ecc04de6f69b58702748407
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 2761
content:
"direct drivers 767-771\r direct effects 760\r indirect drivers 767, 773\r indirect effects 758, 760\r anthropogenic emissions* 6-9, 7, 10-11, \r 217-226, 223-224, 226-228, 229, 230, 231, \r 234-235, 237, 238\r accounting methods 752, 756, 760-762, 761\r AFOLU GHG emissions 750, 752, 753\r AFOLU land CO2 fluxes 348, 750, 752, 756-762, \r 762-763\r AFOLU land GHG fluxes 750, 752, 756-758, \r 756, 757, 760\r AFOLU net GHG emissions 756-758, 756, 757\r COVID-19 pandemic 925-926\r emission metrics 1830, 1831\r from food systems 1279, 1281\r IAM pathways 348\r net-zero CO2 emissions 348\r by regions 9, 10-11\r by sector 8, 66\r see also emissions trends and drivers; short-lived \r climate forcers (SLCFs)*\r anthropogenic removals* 1830\r AFOLU land CO2 fluxes 762-763\r AFOLU net GHG flux 756-758, 756, 757\r AFOLU sector 755\r IAM pathways 348\r see also carbon dioxide removal (CDR)*\r appliances and lighting 979-981, 980, 987, 992\r energy demand 972, 972-973, 974\r energy efficiency 980-981, 980, 1662-1663, \r 1678, 1679\r [...]"


id: 82b62c6b3806bb3d33e49a01f689fcd4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 20129
content:
"[...] international cooperation 1015\r investment 1005\r light bulbs 570, 980, 981\r reducing energy demand 995\r refrigerators and air conditioners 1662-1663\r standards and labelling 1010, 1662-1663, \r 1678, 1679, 1679\r aquaculture 827, 1282, 1288\r aquatic ecosystems 377\r AR6 scenario database 303, 305-309, 306, 307, \r 308, 383-384, 1882-1892\r building sector models 1850-1851\r climate classification 1886-1889, 1886-1888, \r 1890\r collection and vetting 1883-1884, 1883, \r 1884-1886\r global scenarios 1883-1889, 1883, 1884-1888, \r 1890, 1891\r national and regional pathways 1891, \r 1891-1892\r policy classification 1889, 1891\r sector transition pathways 1892, 1892\r Arab States 870\r Arctic 770, 1094, 1496, 1506\r Argentina 434, 437, 567, 803, 1767\r artificial intelligence 541, 1062\r artificial upwelling 1271, 1273\r Asia\r accelerated mitigation pathways 437\r AFOLU emissions 766"


id: f33e3517be88b3d4e8af7cf5127b61c3
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 40172
content:
"17571758, 17611763, 1762, 1764, \r 1770-1771\r technology and innovation 773, 1285, 1286, \r 1288, 1697-1698\r transition in sustainable development context \r 1749-1751, 1770, 1771\r uncertainties 750, 752, 780, 787, 788, 791, 830\r water-energy-food nexus 1753, 1770-1771\r and well-being 827, 829\r see also afforestation/reforestation (A/R); \r agriculture and farming methods; \r agroecology*; agroforestry; land-based \r mitigation\r agroecological intensification 1698\r agroecology* 796-798, 1285, 1300, 1310, \r 1697-1698\r agroforestry 470, 790-791, 791-792, 816, 902, \r 1274, 1276, 1757\r air conditioning 439, 961, 973, 974, 987, \r 1662-1663, 1679\r air pollution* 159n, 271-272, 1002\r co-benefits of mitigation 368, 376-377, \r 441-442, 1755-1756\r and COVID-19 pandemic 163\r deep decarbonisation scenarios 1740\r economic quantification of co-benefit 368\r emissions trends 232-233, 232\r energy systems 623, 623-624\r health and 233, 368, 376-377, 1002, \r 1755-1756\r household 548\r [...]"


id: 928eeea73521386568c11e43abc65912
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 23011
content:
"[...] indoor air quality 705, 875, 960, 1002\r international cooperation 1496\r model assessment 1741-1742\r shipping 1093-1094, 1097\r SLCF reductions 441-442\r warming contribution 349-350\r air quality 271-272, 705, 875, 960, 1002, \r 1093-1094\r albedo* 766, 780, 781, 1301, 1303\r Amazon 467-468\r AFOLU mitigation potential 784\r deforestation 768, 769, 769, 818-819\r fire regimes 770\r peatlands 785\r road building 769\r urbanisation 768\r Amazon Soy Moratorium (SoyM) 467, 784, 818\r ammonia (NH3)\r contribution to warming 225\r emissions 232, 796\r fuel 1052, 1068, 1071\r hydrogen carrier 658\r production 658, 1184, 1192\r anaerobic digestion 649-650, 796, 910, 1182, \r 1301\r analytic frameworks 5, 153-154, 180-187, 191\r animal waste management 795-796, 806\r Annex I countries 1823\r Annex II countries 1823\r anthropogenic*\r defining emissions/removals as 750n, 760-762, \r 761"


id: 1851b16de16afc08a84d33ee28b7f190
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 1482
content:
"AFOLU mitigation pathways 806-807, 806\r AFOLU mitigation potential 782, 810-811, 810\r air pollution 377, 441, 442\r buildings policies 251\r climate change impacts on energy supply 668\r coal use and phase-out 624, 626, 699\r economic growth and industrial emissions \r 1175-1176\r emission drivers 1481\r emissions and land dynamics 806-807\r energy access 623\r energy investment needs 1571, 1603-1604\r energy sector 437, 1743\r energy systems emissions scenarios 685, 686\r energy use 517, 623\r forest area 767\r fuelwood harvest 770\r geologic CO2 storage potential 641\r grassland area 784\r inequality 264\r land-based emissions/removals 806\r land cover change 807\r mining and deforestation 770\r renewable energy capacity 627\r rice cultivation 771\r road building and deforestation 769\r timing of net zero emissions 324\r transport 1061\r transport demand 1101-1103, 1102\r urban land use trends 883\r urbanisation 868\r see also specific countries\r Asia and Pacific (APC) 1824\r [...]"


id: 9ee9e8fea103423a33f970c9f66db0af
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25183
content:
"[...] AFOLU mitigation potential 777, 778, 781, 782, \r 789, 790, 791, 792, 793, 803, 804\r agricultural land use 768\r buildings emissions 965\r climate-related economic losses 1594\r coal use and phase-out 624\r consumption-based emissions 217, 241, 242\r emissions embodied in trade 244, 245\r emissions projections 335\r emissions trends and drivers 238\r energy sector emissions 620, 621, 622\r fertiliser use 794\r financial flows and stocks 1562, 1563\r food system 804\r IMP for energy system transformation 691\r per capita emissions 218\r rice cultivation 771\r services for well-being 515\r technology transfer and cooperation 1502\r transport demand 1102, 1103\r transport emissions 1053, 1099, 1100, 1101\r urban emissions 863, 885, 885, 886\r urban emissions scenarios 891, 892\r urban land expansion 863, 888, 888, 889\r urbanisation scenarios 888, 888, 889, 891, 892\r see also Eastern Asia; South-East Asia and \r Pacific; Southern Asia\r Asia-Pacific Developed region 968, 973, 974, \r 988, 989, 991\r [...]"


id: f0901192cb112111b331c4a50293d2b7
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 39697
content:
"[...] see also Australia, Japan, and New Zealand\r Asia Pacific Economic Cooperation (APEC) \r countries 1751\r atmosphere* 156-157\r Australia\r accelerated mitigation pathways 437\r AFOLU mitigation potential 783, 784\r buildings 1005\r buildings mitigation potential 989\r carbon credits 813-814\r climate change impacts on energy supply 668\r climate governance and institutions 1366, 1376\r energy-related CO2 emission pathways 434\r energy sector 437\r fire management 783\r fire regimes 770\r geologic CO2 storage potential 641\r non-CO2 emissions 1390\r REDD+ 1503\r transport 1060\r Australia, Japan, and New Zealand 1824, 1824\r AFOLU emissions 253, 756, 759\r buildings emissions 250, 964, 965, 966, 968\r embodied emissions 978\r reduction potential 968\r buildings energy demand 971, 973, 973, 974\r buildings mitigation potential 955, 988, 989, 991\r emissions trends and drivers 233, 234-235, \r 236, 246\r energy investment needs 1571\r energy sector emissions 248\r energy system 247\r industry emissions 248, 249\r [...]"


id: e9f90b9b9beadc6dcc289b10f88bdb8f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 38514
content:
"[...] per capita floor area 969\r transport emissions 252, 1055, 1056\r urban land use trends 884\r urban population and urban expansion 883\r Austria 377, 437, 1206\r automation/autonomous vehicles 541, 542-543, \r 1062, 1063, 1095, 1735\r autonomous systems 1062, 1095\r aviation 251, 252, 1052, 1053, 1056, 1065, 1066, \r 1068, 1070, 1086-1093, 1105, 1120\r COVID-19 pandemic 163, 230, 230, 1087, 1090, \r 1092\r emissions 1086-1087, 1086, 1090-1092, 1091, \r 1092\r CO2 emissions 620, 620, 1086-1087, 1086, \r 1506-1507\r energy sector 620, 620\r impact of COVID-19 pandemic 230, 230\r trends and drivers 230, 230, 237, 251, 252\r fuel 1087-1089, 1113, 1118-1119\r governance 1092-1093, 1115, 1115-1116\r international cooperation 1506-1507\r shift to high-speed rail (HSR) 1089-1090\r Avoid, Shift, Improve (ASI)* 187, 508-510\r behaviour change 547, 548, 549\r circular economy 545\r and cultural change 506\r demand-side options 560-561, 565-568\r identifying options 533-535\r mitigation potential 505\r policies 565-568"


id: 297e90a5094babfc2a0b05cdb3bce556
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 4518
content:
"B\r backcasting 454-455, 1853, 1870\r banks and financial institutions 1582-1583, \r 1584, 1603\r central banks 1586, 1595\r development finance institutions (DFIs) 1589, \r 1605\r financing firms 1665\r green banks 1012, 1588\r international finance institutions 1012, 1589\r multilateral development banks (MDBs) 1320, \r 1483-1484, 1505, 1560, 1588, 1595, 1605\r national finance institutions 1588\r public development banks (PBDs) 1603\r barriers and enablers 44\r accelerating transition in sustainable \r development context 1729, 1730-1731, \r 1764-1770, 1771\r AFOLU mitigation 751, 787, 792, 793, 796, 803, \r 823-826\r buildings sector 956, 996, 1005-1007, 1006\r carbon dioxide removal (CDR) 1272\r climate governance 1398, 1399-1400, 1401, \r 1406\r energy sector 629, 630, 633, 637, 660, 664\r farming system approaches 470\r feasibility assessment 1837-1838, 1837\r industry sector 1164, 1180, 1201, 1203-1204, \r 1209, 1212-1213\r international cooperation 1457\r investment and finance 1574\r [...]"


id: bc6f4fdc2cca792cc546185a30964a83
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 30395
content:
"[...] land-based mitigation 789-790, 791\r net-zero energy systems 677-678\r sectoral transitions 1399-1400\r technology and innovation 1644-1645, \r 1646-1647, 1646, 1652, 1654, 1658, 1696, \r 1766-1767\r transport sector 543\r urban systems 916-917, 918, 921-922\r baseline emissions 992, 995\r baseline/reference scenarios* 303-304, 316, \r 345, 359, 385, 417, 965, 1101, 1251-1252\r compared to historical trends 232\r policy analysis with IAMs 1861\r urban areas 890\r batteries 11, 12, 654-655, 654\r chemistries 654, 655, 1069-1070\r cost reductions 258\r critical minerals 637-638, 1053, 1116, \r 1116-1117, 1120, 1744\r EV batteries 11, 12, 257, 258, 628, 654-655, \r 657, 1069-1070, 1079, 1116, 1116-1117, \r 1120\r lithium-ion batteries (LIBs) 11, 654-655, 674, \r 1053, 1069, 1079\r critical minerals 1053, 1116, 1116-1117, \r 1120, 1744\r for EVs 12, 1069, 1070"


id: 4732e86fded6c419b43d00462e558e5c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 9724
content:
"hybrid energy storage (HES) systems 1070\r prices 11, 12, 627-628\r recycling 1053, 1069\r prices 11, 12, 615, 627-628\r recycling 1053, 1069, 1120, 1744\r redox flow batteries (RFBs) 656\r technology improvement 257, 259, 627-628, \r 1069-1070\r for variable renewable energy 615, 627-628, \r 674\r battery electric vehicles (BEVs) see electric \r vehicles (EVs)\r behavioural changes 170-171, 185-186, \r 546-549, 549-554, 560\r accelerated mitigation pathways 440\r adaptation and mitigation 469\r changing preferences 166, 513\r choice architecture 506, 506n, 548-549, \r 549-554, 1295\r COVID-19 pandemic 163, 507, 511-512\r dietary shift 528-529, 547, 876, 1292-1295\r education 1765\r emissions reductions 908\r enabling shifting development pathways and \r accelerated mitigation 412, 460, 463-464\r encouraging mitigation action 661-662, \r 701-702, 1737\r energy demand reduction 661, 908-909\r energy systems mitigation 661-662, 701-703, \r 704\r financial incentives 701-702\r [...]"


id: 10f4bb0b4b0d767ca9366a1a9e00a2ec
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 174
content:
"[...] habits, values and awareness 548, 1737, 1765, \r 1766\r household consumption choices 507, 531-532, \r 532\r information initiatives 1294-1295, 1391, \r 1750-1751\r information technology 440\r lifestyle shifts 263\r low-carbon energy transition 696\r motivation and capacity for change 506-507, \r 546-547, 548\r policies 565, 566-567, 566\r policy instruments 1295\r scenarios 535, 536-537\r social movements 1765\r socio-behavioural aspects of urban mitigation \r 908-910\r sustainability transitions 1764-1766\r sustainable development and land management \r 1750\r transport 440, 908, 909, 1052, 1059-1063, \r 1089, 1111-1112, 1121, 1766\r waste and waste management 527-528, \r 909-910\r willingness/reasons to adopt measures 984, \r 985-988, 986\r beliefs see ideas, values and beliefs\r best available technology (BAT) 1180-1181, \r 1181\r Beyond 2degC Scenario (B2DS) 1201, 1202, 1203\r big data 1062"


id: 257e6329a8d668a979d0ed3ca0040273
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 3779
content:
"bio-based materials/products 751, 804-805, 902, \r 995-996, 998, 1248, 1299, 1308\r biochar* 645, 789-790, 1273-1274, 1276, 1277, \r 1299, 1301-1302, 1698\r bioclimatic design 956, 983-984\r biodiversity* 377-378, 753, 1749-1750, 1758\r and AFOLU 827-828, 829\r and cities 866\r conservation 770, 826\r international cooperation 1504\r bioeconomy 1248, 1307-1311\r bioenergy* 167, 643-646, 644\r accelerated mitigation pathways 438, 442\r biomass feedstocks 1186, 1193, 1856\r biomass trade 684-685\r carbon neutrality 646\r climate change impacts 665, 668\r costs 645, 645\r crop yields 645-646, 668\r environmental and societal impacts 645-646, \r 1758\r land use requirement 645-646, 1299, \r 1300-1301\r levelised costs of electricity (LCOE) 662\r linkages among sectors 340-341\r mitigation potential 644-645, 751, 776\r policies 818\r scenarios and pathways 308, 309, 340-341, \r 1247, 1856\r and SDGs 645, 705, 1749, 1761\r traditional biomass 622-623, 623-624, 629, \r 644, 970-971, 972\r [...]"


id: 9759932d1a146122c2cad57a155966a1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 23829
content:
"[...] trends in energy supply and use 622-623, 622, \r 627\r bioenergy with carbon dioxide capture and \r storage (BECCS)* 28, 433-434, 436, 799-802, \r 801-802, 806, 807, 809, 823, 1182, 1273-1274, \r 1275\r accelerated mitigation pathways 438\r annual and cumulative sequestration 1264, \r 1265\r biomass production 1299-1302\r co-benefits and adverse side effects 800, 831\r costs 645, 645\r impacts on biodiversity and ecosystems 377, \r 831\r land occupation, impacts and risks 825, 831, \r 1298, 1299-1302\r linkages among sectors 340-341\r low-carbon energy transition 693\r mitigation potential 751, 776, 777, 1253\r net-zero energy systems 675, 681\r scenarios and pathways 25, 323, 324, 340-341, \r 348, 348, 538, 811, 812\r technical potential* 800, 802, 1273-1274\r bioethanol 1182\r biofuels* 644, 1052, 1053, 1065-1068, 1071, \r 1074, 1075, 1308\r aviation 1066, 1068, 1088\r carbon footprint 1066, 1074, 1075\r conversion technologies 1067\r feedstocks 1066, 1066, 1068, 1088, 1182, 1186\r land occupation 1298"


id: 92347224d8eb3784286d4a01447b30e0
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 22942
content:
"net-zero energy systems 676, 677\r production 627, 643\r production costs 645\r shipping 1068, 1095\r sustainable biofuels 32\r technology readiness level (TRL) 1067\r trends in energy use 622, 623\r biogas 644, 796, 1095, 1186, 1273, 1301\r biogenic carbon emissions* 1195\r biogeochemical effects 766\r biomass* 1182, 1247, 1321\r for biochar 1274\r bioeconomy 1307-1311\r for bioenergy and BECCS 799-802, 801-802, \r 1274\r conversion technology 1301-1302\r crops 1299-1300\r demand 529, 809\r energy carriers from 643-644\r feedstock 1186, 1193\r gasification 657\r industry scenario analysis 1203\r land occupation 1298, 1299-1302\r liquid fuels 677\r marine biomass CDR options 1273\r net-zero energy systems 684-685\r production 85, 751, 1274\r scenarios and pathways 341\r solid biomass fuel 1182\r terrestrial biomass dumping 1273\r trade 684-685\r traditional biomass 622-623, 623-624, 629, \r 644, 970-971, 972\r biomethane 1065, 1182\r biomethanol 1182\r biophysical effects 766\r biorefineries 1301\r [...]"


id: 80b402bc0cb6303f69af8fc6d0a6c9c2
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 19777
content:
"[...] black carbon (BC)* 441-442, 1496\r contribution to warming 225, 350\r emissions trends and drivers 232-233, 232\r black swans 472\r block funding 1674\r blockchain 1062, 1607\r blue carbon* 470, 476, 786, 787, 788, 1271, 1272, \r 1275, 1403\r blue infrastructure* 875, 876, 877, 878, 902-903, \r 903-904, 920\r bookkeeping models 750, 752, 758-759, 758, \r 759, 760, 761-762, 761\r border carbon tax/adjustments 167, 466, \r 1213-1214, 1393-1394, 1500\r Brazil\r accelerated mitigation pathways 437, 438, 439\r AFOLU mitigation 784, 815, 821-822\r AFOLU subsidies 816\r agroforestry 791-792\r Amazon 768, 769, 770, 784, 815, 816, 817, 818, \r 818-819\r climate governance and institutions 1365, 1366, \r 1367\r deforestation 272, 467-468, 769, 816, 818-819, \r 1504\r development pathway 452, 467-468"


id: 534a5340ed80cf2fff703d8b2c5ffb73
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 11926
content:
"indoor environmental quality 960, 961-962, \r 1001-1002\r insulation and thermal efficiency 987, 993-994, \r 997, 1002, 1003\r international cooperation 1514\r investment and finance 956, 1012-1015, 1014, \r 1569\r local climate and urban plans 1015\r lock-in 697, 956\r long-term mitigation options 1260\r management systems 961, 983-984, 984\r material substitution 804-805, 977, 978-979\r mitigation non-technological (NT) options and \r strategies 983-988, 984, 986\r circular and sharing economy (CSE) 985, \r 988, 1187\r demand-side measures 985, 987-988, 992\r digitalisation and demand-supply flexibility \r 987-988, 992\r land use and planning 956, 1008, 1015\r limited demands for services 984\r passive/active design and management 981, \r 982, 983-984\r value chain, social and institutional \r innovations 985\r mitigation potential 343, 530, 955, 957, \r 988-996, 989, 990, 991\r mitigation technological options and strategies \r 961, 975-981, 979\r appliances and lighting 979-981, 980\r [...]"


id: 1a3835f5d4ca1f3767af6c8ed05d7988
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 1809
content:
"[...] building envelope improvements 981, 982, \r 987, 993-994\r district energy networks 981\r energy efficiency 980-981, 980, 982, 987, \r 997\r material efficiency and substitution 977, \r 978-979, 987, 995-996, 998\r on-site renewables 981, 987, 992, 997, \r 1005, 1013-1014\r models/modelling methods 1848-1851, 1852, \r 1892\r Nationally Determined Contributions (NDCs) \r 421\r net zero energy building targets 440\r net zero energy systems 680\r new builds 955-956, 992-993, 997-998\r non-residential 961, 1004-1005\r energy demand 970-971, 974-975, 1016\r pathways and scenarios 31\r planning 956, 1008, 1015\r policies 251, 956, 959, 1015-1016, 1018, 1382\r efficiency policies 1008-1011, 1015-1016\r financing mechanisms 1012-1014\r market-based instruments 1010-1011\r policy packages 31, 1007-1008, 1017\r regulatory instruments 1008-1010\r on-site renewables 1013-1014\r sufficiency policies 1008, 1009, 1015-1016\r rebound effects 1007\r residential 960-961, 1004, 1005\r energy demand 970-971, 972-974, \r 974-975"


id: 494855475e58e08d48e804354b398458
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 10111
content:
"building energy codes 956, 994, 997-998, \r 1008-1009, 1677\r building envelope 981, 987, 993, 997\r climate change impacts 669, 956, 983, \r 996-997, 1017\r cohousing strategies 959\r components 961\r construction 961, 975\r see also building materials\r costs and potentials 38-39, 955-956, 988-996, \r 989, 990, 991, 993, 1016-1017, 1252, 1253, \r 1255, 1257, 1258, 1258, 1259, 1260\r and COVID-19 pandemic 956, 960\r cross-sectoral implications 1313\r demand-side measures 530, 985, 987-988, 992\r design 956, 975, 983-984, 1187\r digitalisation 974-975, 984, 987-988, 992, \r 1652-1653, 1760\r electricity demand 955, 957, 974, 984-985, \r 1005\r electrification 439, 676-677, 694, 974, 1001, \r 1003-1004\r embodied energy and embodied carbon \r 975-977, 976, 1003\r emissions 8, 66, 955, 957, 963, 967-968\r direct/indirect 250, 513, 955, 957, 963, 991, \r 995\r drivers 246, 250-251, 250, 955, 967-970, \r 983\r embodied emissions 963, 977, 978, 995\r energy sector CO2 emissions 620\r methane (CH4) sources 1832, 1834\r [...]"


id: 679e9ad22d1d4957f854694a7b3833c6
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 15495
content:
"[...] net-zero GHG emissions 31\r per capita 965-967, 966\r regional 963, 964, 965, 966\r trends 236-237, 237, 238, 246, 250-251, \r 250, 963-967, 963, 964, 966\r emissions growth 218\r emissions sources 1832\r energy demand 513, 955, 957, 970-974, \r 970-971, 997\r climate change impacts 669\r emerging trends 974-975\r financing reductions 1012-1013\r flexibility and limited demand 984-985\r non-technological determinants 983\r per end use 972-974, 972-973\r energy efficiency 439-440, 981, 982, \r 1008-1011\r energy intensity 251, 343\r energy savings potential 979-981, 979\r FAQs 1018\r feasibility 994, 1005-1006, 1006, 1017\r final energy use/demand 251, 337, 342-343, \r 343, 513, 955, 957, 970-971\r floor area per capita 955, 956, 968-970, 969, \r 977, 989\r governance and institutional capacity 956, \r 1015-1016\r green certification 1005\r health and well-being requirements 956, 960\r heating and cooling see building services"


id: 76e995c694a9b6d23baa3b2aa1760027
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 18131
content:
"emissions 262, 434, 452\r end-use technologies transitions 256\r energy sector 434, 437, 439, 1697\r energy use 517\r fire regimes 770\r forest area 767\r green industrialisation 1754\r household emissions 262\r inequality 517\r mining 769\r Nationally Determined Contributions (NDCs) \r 1365\r net zero targets 1465\r Paris Agreement 1462-1463, 1465\r REDD+ 816, 1503\r regulatory measures 816, 818-819\r technology transfer and cooperation 1502\r urbanisation 768\r wind power 1697\r zero deforestation pledges 272\r bridging scenarios/pathways 356\r building codes 956, 994, 997-998, 1008-1009, \r 1404, 1677\r Building Information Modelling (BIM) 962\r building materials 901-902, 901, 924, 961, 987, \r 1002-1003\r bio-based 751, 804-805, 902, 995-996, 998, \r 1299, 1308\r demand 248-249, 923, 923\r embodied energy/carbon 901, 975-977, 976\r regulatory instruments 1218\r building services 961-962, 983-985\r adopting efficient HVAC systems 987, 992, 993, \r 994\r classification 962\r digitalisation 975\r [...]"


id: fdb98e208230c38f04ef51ef99242b70
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 42000
content:
"[...] electrification 676-677\r energy carrier 970-971, 971-972\r heating and cooling 650, 683, 961-962, 987\r air conditioning 439, 961, 973, 974, 987, \r 1662-1663, 1679\r climate change impacts 669, 956, 996-997\r cost-effectiveness 992\r district energy networks 981\r district heating and cooling networks 650, \r 898-899, 1206-1207\r energy demand 513, 669, 972, 972-973, \r 973, 974, 997\r heat recovery 974-975\r HVAC technologies 992\r refrigeration systems 962\r limited demands for services 984\r retrofits 994\r ventilation 962, 987, 1002\r buildings 100-104, 953-1018\r accelerated mitigation pathways 435, 436\r adaptation and mitigation 956, 996-998, \r 1758-1759\r ASI opportunities 531\r barriers 956, 996, 1005-1007, 1006\r behaviour and behavioural interventions \r 983-988, 1010"


id: b550812b2e7af8146a85d9a9c2ca75a0
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 29135
content:
"retrofits 955-956, 981, 987, 992, 993-995, \r 997-998, 1001-1002\r scenarios and pathways 337, 342-343, 343, \r 963-970, 964-965, 967-968, 969, 970-971, \r 971, 972, 972-973, 1850-1851, 1850-1851, \r 1892\r SER framework 955, 956, 957-959, 967-970, \r 968, 979\r socio-cultural factors 531\r socio-demographic factors 983, 984\r stranded assets 355\r sufficiency approach 955, 957-959, 995, 1008, \r 1009, 1015-1016\r sustainable development 998-1005\r economic effects 1004-1005\r energy security 1005\r environmental benefits 1002\r health impacts 960, 1000-1002\r improved resource management 1002-1003\r meeting SDGs 956, 998, 999-1000, 1000\r social well-being impacts 1003-1004\r synergies and trade-offs with SDGs 41-42, \r 1762, 1763, 1764, 1770\r types and classification 960-961\r data centres 974-975\r energy efficient 1004-1005\r exemplary NZE/low-energy buildings 981, \r 982\r historical/heritage buildings 981, 997\r positive energy/energy plus buildings 981\r warehouses 981\r [...]"


id: 2c43352ff37a91e8fa921c238ca15d72
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 5054
content:
"[...] zero energy/carbon buildings 955-956, \r 979-981, 982, 992-993, 995, 1009\r see also appliances and lighting\r built environment 887\r business as usual (BAU)* 187, 417, 799\r see also baseline/reference scenarios*\r businesses and corporations 506, 557-558, 560, \r 1736\r business models and financing 1607-1610\r corporate social responsibility (CSR) 1755\r energy firms 1766\r sustainability agendas 1766"


id: 2343145eea56ba627e235b8bfbbdc3d5
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 3407
content:
"net zero targets 1465\r Paris Agreement 1462, 1465\r planning and policy implementation 1758\r policy impacts 270\r renewable energy support measures 1500\r transport 440\r capability approach (CA) 1691\r capacity building 795, 1368, 1505, 1685, 1686, \r 1687-1688, 1689, 1769, 1770\r carbon budgets* 6-7, 7n, 231-232, 231, 1745\r global carbon budget 179, 473, 520, 1468\r limiting warming to 1.5degC 174, 217, 231, 231, \r 255, 274, 319, 320-322, 323, 327, 349\r limiting warming to 2degC 174, 231, 231, 274, \r 320-322, 327, 349, 1874\r models/modelling methods 1874, 1880-1881, \r 1881\r net-zero emissions 322, 325, 327, 354\r remaining carbon budget* 6, 7n, 155, 174, 217, \r 231-232, 231, 255, 274, 320-322, 323, 327, \r 333, 349, 354, 1874, 1880-1881, 1881\r scenarios and pathways 320-322, 323, 327, \r 333, 349, 354, 1874, 1880-1881, 1881\r total carbon budget* 6-7, 7n, 231-232\r carbon constraint 443-444, 444\r carbon credits 813-814, 821\r carbon cycle* 871, 901-902, 1261-1262, 1830\r carbon dioxide (CO2)*\r [...]"


id: 3d0988f1e05168832db76872767c7fac
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 7920
content:
"[...] accounting methods 756\r AFOLU emissions and removals 159, 160, 328, \r 750, 753, 758-762, 758, 759, 806-807, 806\r AFOLU emissions reduction 346, 346\r AFOLU mitigation potential 808, 809, 810, 811\r AFOLU net GHG emissions 756-758, 756, 757\r annual global emissions 223\r anthropogenic land CO2 fluxes 348, 750, 752, \r 760-762, 762-763\r atmospheric lifetime 1489, 1831\r buildings emissions 620, 955, 957, 963, \r 967-970, 967-968\r CO2 fertilisation 668\r concentrated CO2 sources 1185\r consumption-based emissions 9, 217, 235, 236, \r 239-245, 241, 244\r contribution to warming 225\r conversion of methane into 1833\r COVID-19 pandemic and emissions 511-512, \r 1056\r cumulative emissions 9, 231, 231, 318, \r 319-324, 320-322, 323\r future emissions 16, 265-267, 266, 267\r historical cumulative net CO2 emissions \r 6-7, 9, 10-11\r decoupling of emissions 242-244, 242, 243\r development pathways and emissions 452-453\r direct emissions 957, 963, 1100\r economic growth and emissions 512-513\r [...]"


id: 75cae744527b46e9e45783154534888c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 17955
content:
"[...] embodied in trade emissions 217-218, \r 244-245, 244\r emission datasets 1831, 1832-1833\r emission metrics 1824, 1825, 1830, 1831\r emissions from existing and planned \r infrastructure 16, 265-268, 266, 267"


id: 237e1e2f340ee1c43b5eed36bf17ef76
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 3441
content:
"emissions growth 228-230, 229\r emissions reductions 230-231, 269-270, 1258\r emissions trends 6-7, 7, 228-232, 229, 230, \r 274\r emissions uncertainties 222, 224-225\r energy-related emissions 619-620, 619, 620, \r 685, 693\r buildings sector 513, 967-970, 967-968\r trajectories 433-435, 434\r energy sector emissions 246, 433-434, \r 619-620, 620, 685-688, 685, 686, 687, \r 1303, 1836-1837\r extraction from seawater (with storage) 1273\r fire emissions 783\r food system emissions 1280, 1281, 1281, 1282, \r 1283\r fossil fuel and industry related (CO2-FFI) 6, 6n, \r 7, 7, 8, 9, 10-11, 159, 159n, 160, 161, 163, \r 217, 218, 223, 225, 228, 229, 229, 230-231, \r 233\r fuels and feedstocks 167, 1080, 1088\r future emissions estimates 219, 265-268, 266, \r 267\r geologic storage potential 641, 641\r global warming potential (GWP) 1831\r historical emissions 6-7, 9, 10-11, 231-232, \r 231\r household emissions 262\r hydropower emissions 1303\r indirect emissions 957, 963, 1836-1837\r [...]"


id: 9278c33e3fa56bd9a7d35e1ce41c8151
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 22990
content:
"[...] industrial capture, use and storage 1185-1186\r industrial emissions 1176, 1180, 1189, 1190, \r 1191, 1192, 1193, 1194, 1199, 1200, 1201n, \r 1208\r land-use CO2 emissions 1831\r net land use, land-use change and forestry \r (CO2-LULUCF) 6, 6n, 7, 8, 9, 10-11, 160, \r 161, 217, 221-222, 223, 225, 228, 229, 230, \r 231, 233, 235, 246, 252-254, 750, 762-763\r net negative emissions see net negative \r emissions\r net-zero emissions see net-zero emissions\r peatland emissions 785, 786\r production-based emissions 235, 239, 240, \r 242-245, 242, 243, 244\r reconciled anthropogenic land fluxes 762-763\r regional contributions to global emissions 9, \r 10-11\r residual fossil fuel emissions 268-269, 268\r scenarios and pathways 318, 319-329, 320-\r 322, 323, 325-329, 330-332, 1090, 1091, \r 1092, 1097-1098, 1098, 1099-1101, 1100\r global emission pathways 17, 18-20, 21, \r 23-24, 23, 25\r Illustrative Mitigation Pathways (IMPs) 26, \r 811, 812\r sectoral emissions 8, 1258\r sources* and sinks* 755, 1185\r [...]"


id: c15ce4bf0f1857bdc570738722bb605d
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 31321
content:
"[...] transport emissions 1052, 1053, 1056, 1089, \r 1100, 1109-1110\r aviation 620, 620, 1086-1087, 1086, 1090, \r 1091, 1092, 1506-1507\r cars/vehicles 1056, 1065"


id: 6ff6416d353bdeebc906a943af25a82e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 16953
content:
"women's 526\r carbon intensity* 8, 217, 218\r of consumption 254-255\r decomposition of emissions intensities for \r service related mitigation 527, 528\r energy sector emissions 622\r in exports 239\r GHG intensities of food commodities 1282-\r 1283, 1283, 1288-1289\r industry 1196, 1197-1198, 1199, 1199\r power generation 247\r transport 1075, 1106, 1107\r urban energy systems 899\r carbon labelling 1765\r see also standards and labelling\r carbon leakage* see leakage*\r carbon lock-in see lock-in*\r carbon markets 813-815, 1458, 1470, 1488\r see also emissions trading schemes (ETS)\r carbon monoxide (CO) 1185\r contribution to warming 225\r emissions trends and drivers 232-233, 232\r carbon neutrality* 194, 329, 431-432, 432, 439, \r 646, 671, 830, 914-915, 1363, 1746, 1747\r Carbon Offset and Reduction Scheme for \r International Aviation (CORSIA) 1089, 1115, \r 1506-1507\r carbon offsetting see offset (in climate policy)*\r carbon pools*, urban 871, 905-907\r carbon price* and carbon pricing instruments \r [...]"


id: 6e48fdb9396c37284bbda1c60c80155c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 16670
content:
"[...] 188-189, 269, 359, 465-467, 1359, 1587-1588\r AFOLU sector 776, 808-809, 808, 810-811, 810\r combined with housing policies 466-467\r distributional impacts 445-446, 507\r effective carbon price 1382-1383\r energy sector 628-629, 700\r equivalent carbon price 1383\r fairness 568, 569\r impact on employment 445\r industry 1164, 1213-1214\r and leakage 1500\r low-carbon energy transition 700\r national and regional 270, 463\r policies 1384-1388, 1767\r policy packages 569, 700\r public-private partnerships (PPPs) 1510\r scenarios and models 1847, 1875\r shipping sector 1097\r see also carbon taxes; emissions trading \r schemes (ETS)\r carbon pricing gap 269, 269n\r carbon sequestration 790-791\r carbon sinks* 347-348, 750, 902\r carbon sources 1185-1186\r carbon stock* 272, 826\r coastal wetlands see blue carbon*\r forest 781, 784, 816\r mangroves 787\r peatlands 785, 786\r urban land areas 863, 871, 883, 884\r urban trees 905-907\r wood products 805\r carbon storage 823, 905, 905-907"


id: ae96aef11735f37795073cb4b3e582a5
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 27949
content:
"shipping 1093, 1095, 1096, 1097-1098, \r 1098\r units and unit conversions 1824, 1825\r urban emissions 863, 885, 885, 886, 1059\r utilisation potential 641-642\r carbon dioxide capture and storage (CCS)* \r 28-29, 167, 615, 641, 642-643, 1188\r accelerated mitigation pathways 436, 438, 441\r capture rates 16n\r climate change impacts 665\r co-benefits for SDGs 1211\r costs 642, 642, 645\r feasibility 438\r with fossil energy 24-25, 615, 646, 647, 648, \r 693, 699, 700, 1743\r hydrogen production 645, 657, 657, 1068\r industry mitigation strategies/options \r 1185-1186, 1187, 1189, 1190, 1191, 1193, \r 1195, 1211, 1213\r industry scenario analysis 1200-1201, \r 1202-1203\r land and water trade-offs 705-706\r low-carbon energy transition 689-691, 693, \r 698-699, 699, 700, 1743\r net-zero energy systems 672, 674-675\r policy approaches and strategies 1209, 1213\r retrofitting coal-fired plants 693, 1743\r scenarios and pathways 24-25, 345-346, 538, \r 688, 689-691, 693, 1200-1201, 1202-1203\r [...]"


id: a33970915bfc2760badb424ac3b8bdfe
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25927
content:
"[...] synergies and trade-offs with SDGs 705-706, \r 1755, 1761\r technology improvement and adoption 258, \r 259, 260\r with waste-to-energy 650\r see also bioenergy with carbon dioxide capture \r and storage (BECCS)*\r carbon dioxide capture and utilisation (CCU)* \r 641-643, 1188\r co-benefits for SDGs 1211\r costs and potential 643\r industry mitigation strategies/options \r 1185-1186, 1187, 1189, 1192, 1192, 1193, \r 1195-1196, 1211, 1213\r models/modelling methods 1869\r policy approaches and strategies 1209, 1213\r scenarios 538\r synergies and trade-offs with SDGs 1761\r trends in electricity generation 627\r carbon dioxide removal (CDR)* 28-29, \r 113-116, 168, 753, 774, 775, 1247, 1261-1279, \r 1261-1263, 1322\r accelerated mitigation pathways 436, 438\r acceptability 1277, 1279\r accounting 329\r bioenergy systems 751, 799-800\r see also bioenergy with carbon dioxide \r capture and storage (BECCS)*\r categorisation of main methods 1261-1262\r co-benefits 1267, 1268, 1269, 1271, 1274, \r 1275-1276, 1321\r [...]"


id: da5205d827331b348d3006548dbd36f7
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 35709
content:
"[...] coastal restoration 470, 787-788\r costs and potentials 1266, 1268, 1269, 1270, \r 1271, 1273-1274, 1275-1276"


id: 4a2c833296a01dd1609f5b4e1e7cecb6
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 10292
content:
"deployment 36, 347, 348, 1263-1265, 1272, \r 1277\r enabling conditions and barriers 1272\r energy systems 615, 643, 645, 671-674, 675, \r 681, 692-693, 705-706\r energy transitions 692-693\r enhanced weathering 348, 348, 1247, \r 1267-1268, 1272, 1273, 1275, 1302\r feasibility assessment 1272, 1273\r governance 1248, 1277-1279, 1277-1278, \r 1488, 1495\r industry scenario analysis 1200, 1201\r integrated assessment models (IAMs) 305, \r 1264-1265, 1264, 1267, 1268, 1273, 1274, \r 1275-1276\r international governance 1278-1279, 1488, \r 1495, 1514\r land and water trade-offs 705-706\r land-based CDR methods 1273-1277, \r 1275-1276\r afforestation/reforestation (A/R) 780-781, \r 1273-1274, 1276, 1277, 1300-1302\r biochar 789-790, 1273-1274, 1276, 1277, \r 1299, 1301-1302\r improved forest management 1274, 1276\r soil carbon sequestration (SCS)* 788-789, \r 1273-1274, 1276, 1277\r land requirement for 1298\r long-term goal compatible pathways 300\r mitigation strategies/pathways 300, 1262-\r [...]"


id: 8f83607513763b1e618d5dae574ccfc4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 22461
content:
"[...] 1263, 1264-1265, 1264, 1267, 1268, 1274, \r 1275-1276\r models/modelling methods 305, 1856, 1869\r net-zero energy systems 671-672, 671, 675, \r 681\r net zero targets 1247, 1261, 1277, 1277-1278, \r 1322, 1465-1466\r ocean-based methods 348, 1268-1273, 1272, \r 1275, 1495\r peatland restoration 786, 1274, 1276, 1750\r policies 1277-1279, 1277-1278\r risks and impacts 471, 1266-1267, 1268, 1269, \r 1270-1271, 1274, 1275-1276\r scenarios and pathways 24-25, 305, 308, 309, \r 323-324, 328, 347-348, 348, 354-355, 538, \r 1264-1265\r technology readiness level (TRL) 114, 115-116\r timing of mitigation action 341, 347\r trade-offs and spillover effects 705-706, 1267, \r 1268, 1270, 1271, 1274, 1275-1276, 1277, \r 1321\r uncertainties 1265, 1274\r see also direct air carbon dioxide capture and \r storage (DACCS)*\r rbon footprint* 261-262, 520-521, 872, 1561\r biofuels 1066, 1074, 1075\r factors affecting 262-265\r food 1294, 1295\r household 260-265\r hydropower 1303\r personal 255, 452, 872\r rural 255\r [...]"


id: 2a53a28c56f7d74ae7d1ce22ea76cd14
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 4670
content:
"carbon taxes 13, 167, 270, 446, 465-467, 1384, \r 1385-1386, 1396\r AFOLU sector 815\r benefits and drawbacks 1587-1588\r border carbon tax/adjustments 167, 466, \r 1213-1214, 1393-1394, 1500\r and green paradox 1320\r industry sector 1213-1214\r public pricing and taxation 1561\r socio-technical impacts 1676\r carbon trading see emissions trading schemes \r (ETS)\r Caribbean 668, 1594, 1595, 1596, 1686\r see also Latin America and Caribbean\r Caribbean Catastrophe Risk Insurance Facility \r (CCRIF) 1595, 1596\r cascading mitigation effects 506, 864, 894, \r 895-896, 919, 920, 923\r cash transfer programs 445, 1011\r cellular agriculture 1286, 1289, 1294\r cement and concrete industry 430, 902, 1164, \r 1190-1191, 1197, 1204, 1205, 1208\r Central America 668, 767\r see also Latin America and Caribbean; South and \r Central America\r China\r accelerated mitigation pathways 435, 437, 438, \r 439, 440, 441\r air pollution 271, 1740\r buildings 251, 439, 440\r carbon neutrality 432\r [...]"


id: a003ab9ab214eadf2c53e7c2bf2d0dda
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25368
content:
"[...] carbon pricing policies 1384, 1385, 1397\r circular economy 442\r climate change impacts 667, 668\r climate governance and institutions 1366, 1366, \r 1367\r climate policy support 1373\r coal use and phase-out 624, 625, 626, 697, 699\r conservation programs 816\r critical minerals 1117\r decoupling of transport-related emissions 1058\r Deep Decarbonisation Pathways Project (DDPP) \r 1740\r development pathways 452\r eco-industrial parks 1180, 1755\r economic growth 247\r electric vehicles (EVs) 567, 1387\r emissions 251, 452, 1058\r AFOLU sector 254\r consumption-based 244\r embodied in trade 245\r growth 233\r household 260, 262\r non-CO2 emissions 1390\r trends and drivers 247\r Emissions Trading System (ETS) 1384, 1397\r end-use technologies transitions 256\r energy efficiency programmes 1679\r energy-related CO2 emission pathways 434\r energy sector 247, 434, 437, 439\r carbon dioxide capture and storage (CCS) \r 438"


id: 4b8becf2f70006ae88bb4a3ff36ceb80
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 10552
content:
"climate change impacts on energy supply \r 667, 668\r fossil fuel use and phase-out 438, 624, 625, \r 626, 697, 699, 1743-1744\r investments 1568\r renewables 627, 635, 636, 1502, 1568, \r 1747-1748\r energy use 518-520\r finance flows 1577\r forest area 767\r geologic CO2 storage potential 641\r green-city initiatives 1756\r income inequality 1746-1747\r industry 441, 464, 1176, 1204, 1206, 1208\r inequality 517, 518-520, 1746-1747\r international cooperation and technology \r transfer 1502\r international trade and consumption 520\r local capital markets 1606\r low emission strategies 433, 434\r manufacturing PV 1747-1748\r marginal/abandoned/degraded land 800\r mitigation policies 1390, 1397, 1397\r national development plans 451\r net zero targets 1465\r Paris Agreement 1462-1463, 1465\r policy impacts 270, 271, 913\r population projections 313\r Shanghai low-carbon urban development 913\r subsidies 1387\r technology and innovation 1502, 1682\r transport 440, 542, 567, 1058, 1060, 1065, \r [...]"


id: 179ae940d7f45199ce98733202b57166
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 1358
content:
"[...] 1089-1090, 1103, 1104, 1117, 1387\r urban areas 884, 888, 905, 913, 1756\r wind energy 635, 636, 1502\r chlorofluorocarbons (CFCs) 221, 224, 229\r choice 260-265, 507, 513, 531-532, 532, 1391\r choice architecture* 506, 506n, 548-549, \r 549-554, 1295\r factors affecting 262-265\r transport 1052, 1059-1061\r see also behavioural changes\r circular economy* 120, 538, 539, 544-546, 544, \r 1188, 1192\r accelerated mitigation pathways 442\r bioeconomy 1248, 1309\r building sector 985, 988, 1187\r co-benefits for SDGs 1210\r critical minerals 1117\r cross-sectoral perspective 1314\r industry 1179-1180, 1187, 1192-1193, 1192, \r 1209, 1210, 1213, 1220, 1220-1221\r mitigation potential 505\r policy approaches and strategies 1209, 1213, \r 1220, 1220-1221\r transport 1061\r urban mitigation 901, 909-910\r cirrus cloud thinning (CCT) 1489, 1490, 1492\r cities* 863-865, 867-868\r accelerating transition 1755-1756, 1770\r adaptation and mitigation 1403-1404, 1758\r biodiversity 866\r carbon cycle 871"


id: ff418f849abcb313f867335ecdd19f5c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 42310
content:
"climate action 866-867\r and climate change 864, 865, 866-867, \r 877-880\r climate policy 1512-1513\r COVID-19 pandemic 925-926\r creditworthiness 915-916\r deep decarbonisation and systemic \r transformation 864\r demand-side measures 528\r developing countries 265, 871\r development pathways for sustainable \r development 1755-1756\r emissions trends and drivers 260, 262, 884-894, \r 887, 926\r established cities 919, 919, 920, 921-922\r institution building 1369-1370\r investment and finance 1596-1598\r just transitions 1370\r megacities* 542, 558-559, 869, 870, 870, \r 900-901, 913, 1767\r mitigation pathways 378, 920, 921-925\r mitigation potential 429-430\r networks and partnerships 914, 1378-1379, \r 1512-1513, 1597, 1736, 1756, 1758, 1770\r new and emerging cities 919, 919, 920, \r 922-925\r planning and infrastructure policy 565-566\r public-private partnerships (PPPs) 1597\r rapidly growing cities 919, 919, 920, 922\r size and population 881-882, 883-884\r small and medium-sized 869-870, 870\r [...]"


id: a664edaea5441913e9d1f386cdc550d5
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 26495
content:
"[...] smart cities 1653\r street layout 896, 897, 897\r and sustainable development 378, 866, 867, \r 873-875\r transport 466-467, 558-559, 565-566, \r 897-898, 915, 1058-1059, 1058, 1059, \r 1060, 1062, 1755-1756, 1770\r see also urban systems* and other settlements\r citizen engagement 1374-1375, 1375, 1380\r citizen science* 1380\r civil society 46, 524, 1370, 1375\r food systems governance 1296, 1296-1297\r influence on climate policy 165, 1223, 1279, \r 1374-1375\r land-based mitigation 1304\r local government and community action \r 1510-1511\r low-carbon energy transition 696, 701-703\r reducing deforestation 467, 818-819\r social movements 556-557, 1374-1375, 1375, \r 1508-1509, 1765\r sustainable development 1733-1734, 1736\r transport strategies 1117-1118\r Clean Development Mechanism (CDM) 1394, \r 1475-1476, 1484, 1568\r AFOLU projects 812, 813\r and Paris Agreement 1470, 1471, 1488\r technology transfer 1645, 1684, 1686-1687\r Clean Technology Scenario (CTS) 1201, 1202\r Climate Action Network 1508\r [...]"


id: f7c011303c13c0f7d135ae39328f59e1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 40958
content:
"impact on emissions 219\r see also specific sectors\r climate politics 172, 1411\r climate-related financial risk 1549-1550, \r 1555-1556, 1580-1585, 1590\r assessments 1567, 1580\r risk pooling and insurance 1594-1596\r climate-resilient pathways* 1401, 1757, 1758\r climate-smart agriculture (CSA) 470, 795, 828, \r 828-829, 1309, 1757\r climate smart cocoa (CSC) 828-829, 1399\r climate-smart forestry (CSF) 782, 782-783, 800, \r 1309\r climate-smart villages (CSV) 795\r climate strikes 557, 1374, 1375\r Climate Technology Centre & Network (CTCN) \r 1486-1487, 1578, 1686\r climatic impact driver 1829\r cloud cover 667, 668, 1087\r co-benefits* 181, 187, 1248\r adaptation and mitigation 876, 1400-1403\r adaptation co-benefits 903, 903-904, 905\r AFOLU measures 751, 786-787, 792, 794, \r 795-796, 804-805\r air pollution reduction 1741-1742\r biochar 789, 790\r bioenergy and BECCS 800\r buildings mitigation 1000-1002, 1018\r carbon pricing policies 1385\r CDR methods 1267, 1268, 1269, 1271, 1274, \r 1275-1276\r [...]"


id: 35815521d39567553200ba21e9d6f572
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 6662
content:
"[...] circular economy 1180, 1210\r climate policies 1397\r coastal wetland conversion reduction 786-787\r cross-sectoral perspective 1311-1313\r demand-side measures 521\r diet 803, 876\r economic quantification 368\r efficient cooling and refrigeration 439\r energy systems mitigation and SDGs 698, \r 704-706, 705\r environmental and socio-economic 1300\r farming system approaches 470\r food loss and waste reduction 804\r food system mitigation 804, 1286-1287\r fossil fuel subsidies, reducing 1387\r for health 233, 375-377, 376, 803, 873, 875, \r 898, 905, 908, 1000-1002, 1741-1742, \r 1755-1756\r industrial mitigation options 1210-1211, 1754\r industrial symbiosis 1180\r land-based mitigation 775, 778, 786-787, \r 788-789, 790, 791\r land occupation by mitigation options 1299-\r 1304, 1306-1307\r long-term mitigation pathways and SDGs \r 369-378, 370, 371, 376\r model assessment 1740, 1741-1742\r national and sub-national policies 1359, \r 1383-1384, 1383, 1385, 1387, 1400-1403\r Paris Agreement 1477\r [...]"


id: 231490c99cfe468c396cb51ef9155321
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 3366
content:
"urban mitigation and adaptation 915-916\r USD100 billion a year commitment 1560, 1565, \r 1604\r see also investment and finance\r limate governance* 45-46, 172, 190, 461-462, \r 1360, 1411, 1413, 1481-1482, 1482, 1768\r actors, influence of 1373-1378\r adaptation and mitigation 1404-1405, 1406\r barriers 1398, 1399-1400, 1401, 1406\r challenges 1367-1368, 1410\r climate litigation 1358, 1374, 1375-1377, 1376\r consumer/citizen engagement 1374-1375, \r 1375, 1380\r coordination 1367, 1410-1411, 1412\r enabling conditions 1398, 1399-1400, 1406, \r 1407\r experimentation and policy innovation 1380, \r 1381\r and ideas, values and beliefs 1372-1373\r institutional capacity 1368\r institutions 1365-1368\r integrated policy packages 1394-1398\r international policy frameworks 1404-1405\r material endowments and 1371\r media, role of 1377-1378\r mediating interests 1367-1368\r multi-level, multi-player 912-913, 913\r national climate laws 1358, 1360, 1361-1363\r national strategies 1363-1365\r [...]"


id: 78124cca3b032c9e8cc5394aee268dd2
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 18337
content:
"[...] networks 1369, 1378-1379, 1379\r partnerships 1380\r policy evaluation 1382-1384, 1383\r policy integration 1397-1398, 1399-1400, \r 1405, 1406\r policymaking for direct mitigation 1379-1380, \r 1381-1394, 1395\r policymaking for transitions 1395-1398, \r 1399-1400\r political systems and 1371-1372\r public support 1358-1359, 1369, 1372-1373\r regional free trade agreements 1501\r regulatory instruments 1359\r sector transitions 1398, 1399-1400\r setting strategies 1368\r shaping 1370-1378, 1411\r structural factors 1358, 1370-1373\r sub-national actors 1378-1381\r sub-national institution building 1369-1370\r transnational networks 1369, 1378-1379, 1379\r limate impact drivers 665\r limate institutions 46, 461, 1411\r limate justice* 43, 1368, 1370, 1370, 1508-1509, \r 1559\r see also justice*\r limate laws 1358, 1360, 1361-1363\r limate litigation 1358, 1374, 1375-1377, 1376, \r 1509\r limate model emulators 1856-1857, 1859, 1880\r limate policies 1412, 1413\r accelerated mitigation 412\r [...]"


id: 8302599cff76cfd065d4762b3807b291
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 20177
content:
"adaptation 877-880, 1207\r asymmetries 183\r avoiding damages from 37\r barrier to AFOLU mitigation 751\r and cities 864, 865, 866-867, 877-880\r costs, quantifying 157\r economic benefits of avoided impacts in long\u0002term mitigation pathways 365-367\r and fire regimes 770\r gender, race and intersectionality 525-527\r impacts see impacts* (of climate change)\r international assessments and cooperation \r 1732-1734\r media coverage 1377-1378\r misinformation and counter-movements \r 1377-1378\r mitigation pathways and avoided impacts \r 365-367, 370, 371, 373, 374, 375, 376, 377, \r 378\r narratives 555\r renewable energy production impact on climate \r 670-671\r risk assessment 157\r risks of solar radiation modification (SRM) \r 1490-1491, 1492-1493\r and sustainable development 176, 1732-1734\r urban adaptation and mitigation 877-880\r climate clubs 356-358, 1458-1459, 1458, 1495, \r 1501, 1505\r climate extreme (extreme weather or climate \r event)* 753, 997\r see also extreme weather events*\r [...]"


id: 30c99a366705d1fb12cd564713e3f6bf
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 5842
content:
"[...] climate finance* 13, 47-48, 158-159, 168-169, \r 462-463, 879, 880, 1482-1485, 1485, \r 1552-1553, 1552\r bilateral finance 1483\r community, city and subnational level \r 1596-1598\r COVID-19 pandemic impacts 1549, 1550, \r 1557-1560\r developed countries 1482-1485, 1564, 1577\r developing countries 915-916, 1471-1472, \r 1482-1485, 1560, 1564, 1565, 1577\r estimates of finance flows 1563-1566\r financing gaps 159, 169, 1549, 1555, 1574-\r 1579, 1580, 1610\r financing needs 1549, 1567-1574, 1597\r gender-responsive 1609-1610\r green bonds 915-916, 1484-1485, 1550\r institutional investors 1485\r international 1553, 1558, 1560\r just transitions 1559-1562\r macroeconomic context 1556-1557\r multilateral climate funds 1484\r multilateral development banks (MBDs) 1320, \r 1483-1484, 1505, 1595\r Paris Agreement 1471-1472, 1483, 1484\r private sector financing 1484-1485, 1565\r public-private partnerships (PPPs) 1510, \r 1511-1512, 1597\r public sector finance 1565\r by sector 1564\r subnational 1596-1598"


id: 27232fc6721208baf04eaad30b3ac03e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 4046
content:
"potential for net co-benefits 187\r REDD+ 1402, 1402, 1497\r renewable energy 1743\r for SDGs 369-378, 370, 371, 376, 867, \r 873-875, 874, 903, 903-904, 1210-1211, \r 1224, 1268, 1311-1313, 1312, 1742, 1754\r sector-specific policies 272\r SLCF reductions 439, 441-442\r technology and innovation 1671, 1695\r transport 1058\r urban green and blue infrastructure 864, 875, \r 876, 877, 878, 903-908, 903-904, 905-907\r urban mitigation 378, 864, 873-877, 874, \r 878, 897, 903-908, 903-904, 905-907, \r 1755-1756\r waste and waste management 876, 1210\r wood products, enhanced use of 804-805\r CO2 equivalent (CO2-eq) emissions* 159, 222, \r 226-228, 229-230, 229, 1830\r fluorinated gases (F-gases) 224, 229\r urban systems and other settlements 885, 890, \r 891\r coal 647-648\r building sector energy carrier 970-971\r consumption 232\r dependent countries 624-625\r energy sector emissions 619-620, 620\r final energy demand per fuel 971\r gasification 647, 657\r infrastructure 697\r low-carbon transition 698-699, 699\r [...]"


id: d3dab247f9d090ff89a31f063f16979d
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 34613
content:
"[...] methane (CH4) emissions 646, 647\r mining 647\r phase-out 624-625, 625-626, 697, 698-699, \r 705\r power generation emissions 247-248, 267\r production and demand trends 622, 622\r retrofitting coal-fired plants 693, 1743\r role in global energy system 1742-1744, 1743\r scenarios and pathways 341\r stranded assets 355-356, 615\r transition from 1742-1744, 1743, 1746, 1748\r coastal ecosystems 377, 470, 1403\r coastal wetlands 470, 786-788, 1274, 1276\r cobalt 1744\r collective action 506, 555, 556-557, 1765\r Colombia 434, 437, 567, 815, 1376\r combined global temperature change potential \r (CGTP) 227\r committed emissions 355, 697, 919, 923, \r 1208-1209, 1743\r communication see information and \r communication technology\r community forest management (CFM) 817-818, \r 817\r community-wide infrastructure supply chain \r footprinting (CIF) 872\r complex system theories 182\r compressed air energy storage (CAES) 655\r Computable General Equilibrium (CGE) models \r 1845, 1855-1856\r [...]"


id: a0006c719a8882dd43b3431fc34a5472
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25367
content:
"Conference of the Parties (COP)* 172, 1471\r confidence* 4n\r Congo Basin peatlands 785\r conservation agriculture* 470, 796-798, 1757\r conservation measures 784-787, 798, 815-817, \r 819, 826, 829, 1497\r construction materials see building materials\r consumers 219, 539, 557, 1207, 1391, 1410\r consumption 166-167, 170-171, 518-520, 524, \r 887\r AFOLU emissions and drivers 773, 803\r choices and changing preferences 507, 513\r dietary shifts 547\r emissions growth and 247, 248-249\r energy consumption 520\r GHG accounting frameworks 872\r household 260-265, 520, 1750-1751\r in mitigation pathways 361\r reduction measures 1561\r subsidies 1387\r sustainable 514\r and well-being 514, 516\r consumption-based carbon footprint \r accounting (CBCF) 872\r consumption-based emissions* 9, 10-11, 167, \r 217, 235, 236, 239-245, 244, 261-262, 273, \r 1165, 1176\r decoupling 242-244, 242, 243\r global and regional trends 240-242, 241, 244\r household 453, 531-532, 532\r policy applications 239, 239-240\r [...]"


id: ad363e52bfac7cc79ea130ffac58490e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 27713
content:
"[...] urban 863, 885, 885, 886, 908\r urbanisation and 255\r variations in 520-521\r contract for difference (CfD) 1220\r contrails 1087, 1089\r controlled-environment agriculture 1286, 1288\r Convention on Long-Range Transboundary Air \r Pollution (CLRTAP) 1496\r cooking energy/technology\r access to modern energy services 517, 548, 559, \r 623, 623, 1003-1004, 1603-1604\r electrification 559, 567, 705, 1001\r energy demand 972-973\r energy efficiency 567\r health impacts of lack of clean energy \r 1000-1001\r policy packages 569\r socio-behavioural aspects 548\r subsidies 629\r traditional biomass 622-623, 623-624\r cooling systems 375, 439, 668, 974, 1752\r see also building services\r corporate actors 1373-1374\r corporate responsibility 506, 557, 1755\r corruption 916, 1372\r cost-benefit analysis* 87-88, 153, 180-181, \r 366-367, 367, 377, 446, 1846-1847\r cost-benefit IAMs 88, 1875\r cost-effective pathways 298, 305, 328-329, 351, \r 356, 1875\r cost-effectiveness analysis (CEA)* 87, 153, \r [...]"


id: aa91803da05abd0d76cb8690740be2ce
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 27230
content:
"Costa Rica 1501\r costs\r abatement costs 1085-1086, 1190, 1191, 1196, \r 1197-1198\r energy systems transitions 1741\r extreme events 877\r fuels and fuel alternatives 1088, 1148\r levelised cost metrics 1826-1827\r low-carbon technologies 153\r marginal abatement cost of carbon 359, 360, \r 360\r marginal abatement costs 807-809, 1259, 1735\r mitigation 155, 170\r model assessment 1741\r policy costs 362-363\r quantifying 157\r renewable energy technologies 165, 168\r shadow cost of carbon 1391\r soft costs 1577-1578\r see also levelised cost; lifecycle costs (LCCs); \r mitigation costs; specific sectors\r costs and potentials 1251-1260, 1252, \r 1254-1256, 1257, 1258, 1259\r aggregated 1256-1260, 1257\r carbon dioxide removal (CDR) 1266, 1268, \r 1269, 1270, 1271, 1273-1274, 1275-1276\r cross-sectoral 1256\r sectoral analysis 1252-1256, 1254-1256\r see also specific sectors\r countermovement coalitions 557\r court actions 1499, 1509\r see also climate litigation\r COVID-19 pandemic 60-61, 153, 154, 162, \r [...]"


id: b4a56732d9fec0e13c39ed2dc6ca04c0
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 29035
content:
"[...] 162-164, 925-926\r and aviation 163, 230, 230, 1087, 1090, 1092\r and buildings 956, 960\r and demand-side scenarios 538\r economic impacts 163, 512, 1549, 1557-1560, \r 1591-1592, 1598\r and emissions 7, 162-163, 230-231, 230, 316, \r 511-512, 1056\r impact on low-carbon transitions 1745\r industry in context of 1165\r intersectional impacts 525-526\r long-term emissions impacts 316\r national and sub-national policies 1408-1409\r near- to mid-term emissions implications 421\r opportunities 164, 472\r recovery packages 163-164, 1550, 1557-1559, \r 1590-1591, 1591-1592\r role of digitalisation 1759\r service provisioning and mitigation 511-512\r and transport 1056, 1060, 1090, 1092, 1121\r critical strategic minerals 637-638, 1053, 1116, \r 1116-1117, 1120, 1744\r crops and croplands 821, 1299-1300, 1301, \r 1309-1310, 1758\r crop nutrient management 794\r crop production 768, 771, 772, 793\r crop yields 373-374, 1491, 1753\r grassland conversion 784-785\r impact of solar radiation modification (SRM) \r 1491"


id: 1d4067e11546e9f0c9f2301eee4d0147
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 2325
content:
"D\r data centres 1652-1653\r decarbonisation* 153-154, 169-170, 864, 1769\r buildings 956, 994-995, 1007-1011, \r 1014-1015\r deep decarbonisation and sustainable \r development 1740\r and digitalisation 1654\r electricity 436, 436-437\r energy system 246\r industry deep decarbonisation 1164, 1180, \r 1187, 1195-1196, 1197-1198, 1206, \r 1222-1223\r pathways 1657-1658, 1658-1659\r policy approaches and strategies 1211-1223\r rapid 412-413\r supply-side 1196\r sustainable development pathways model \r assessment 1739-1742\r transport 1074-1098\r transport technology for 1064-1073, 1064\r decent living standards (DLS)* 9, 218, 254-255, \r 505-506, 509-510, 514, 516, 957, 1742\r buildings 970\r emissions and energy footprints 66, 521\r energy required for 516-517\r long-term goal compatible mitigation pathways \r 301\r Decent Living with minimum Energy (DLE) 970\r decision-making 43, 1751\r development priorities 449, 450, 451, 452\r financial risk management 1584-1585\r governance and institutional capacity 461\r [...]"


id: e28b02d655dd474eb7931e3cd1230284
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 37160
content:
"[...] holistic view and nexus approach 1769\r individual 1765\r multilevel 925\r participation 702-703\r risk management 1829\r technology readiness levels (TRLs) 1649-1650\r urban mitigation and adaptation 879\r decoupling* 217, 242-244, 242, 243, 247, 264, \r 274, 452, 512-513\r transport sector 1058\r urban development/mitigation 864, 875, 921, \r 923\r Deep Decarbonisation Pathways Project (DDPP) \r 1740\r definitions, units and conventions 1821-1838\r assessment methods 1837-1838, 1837\r countries and areas classification schemes \r 1823-1824, 1824\r economic growth rates 1828\r emissions datasets 1831-1837, 1832-1833, \r 1834-1836\r emissions growth rates 1827-1828\r GHG emission metrics 1824, 1825, 1830, 1831\r levelised cost metrics 1826-1827\r monetary unit conversion 1826\r physical units conversion 1825, 1825\r primary energy accounting 1828\r risk, concept of 1828-1830\r standard units 1824-1825"


id: 6989508981d3879ba3fe11c1969dd12f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 15835
content:
"trends calculations 1828\r deforestation* 750, 767-771, 767, 769\r afforestation/reforestation (A/R) 1300\r and development pathways 467-468\r emissions trends and drivers 759\r international agreements and cooperation \r 1503-1504\r reducing 779-780, 818\r regulatory measures 816, 818-819\r road construction and 768, 769\r zero deforestation pledges 272-273\r see also REDD+\r demand, services*, and social aspects of \r mitigation 117-124, 166, 503-572\r access to services 514, 515, 516-517, 517-518\r AFOLU sector modelling of demand 1855-1856\r biomass demand 809, 1307-1311\r critical minerals demand, for batteries 1116, \r 1116-1117, 1744\r demand control measures (DM) 1188\r demand for goods/products 540, 541, 1854, \r 1854\r GHG-intensive products 513\r wood products 770\r demand for services 508-509, 510, 984\r demand reduction 441\r demand sector emission growth 218\r efficient service provision 527-532, 528\r energy demand reduction 441\r FAQs 572\r industry sector models for demand 1854, 1854\r [...]"


id: 90276dc9c3f72d3634f810105e16a4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 22570
content:
"[...] international cooperation 1514\r mobility services 509, 514, 567\r scenario modelling 535-538, 536-537, 570\r service delivery systems 533-535, 533\r service transition scenarios 1872\r services for well-being 514-516, 515, 519\r social aspects of mitigation 133, 182-183, 572, \r 1736-1737\r bibliometric overview 510-511\r changing preferences 513\r demand-side measures 505-506\r encouraging mitigation action 661-662, \r 701-702\r energy systems mitigation 618-619, \r 661-662, 684, 701-703\r gender, race and intersectionality 525-527\r public acceptability 702-703\r social influence/influencers 506, 547, 702\r societal preferences 684\r socio-cultural factors for emissions reduction \r 529-531, 530\r transformative megatrends 538-546, \r 558-559\r see also behavioural changes; just \r transitions*; social movements; well\u0002being*\r transformation and transition 513, 546, 546, \r 555, 560-561, 565, 1411\r water demand 1751-1752\r see also demand-side measures*; demand-side \r mitigation; service provisioning*"


id: 71827250c927a8053e1d74f3116062f6
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 17218
content:
"irrigation 1753\r rice cultivation 771, 789, 793, 806, 1698\r soil carbon management 788-789\r cross-sector social partnerships (CSSPs) \r 1510-1511\r cross-sectoral perspectives 1245-1322\r adaptation and mitigation 1307-1311, \r 1756-1759\r approaches to mitigation 1248\r bioeconomy 1307-1311\r carbon dioxide removal (CDR) 1261-1279, \r 1261-1263\r co-benefits and adverse effects with SDGs \r 1311-1313, 1312\r coordinated policies 42\r cross-sector linkages 336-341, 337\r cross-sectoral governance 1295-1296, \r 1296-1297\r digitalisation 1759-1761\r FAQs 1322\r financing solutions 1320-1321\r food systems 1279-1296, 1296-1297\r land occupation and mitigation options \r 1297-1304, 1304-1311\r long-term mitigation options 1260, 1260\r mitigation measures 1313-1314, 1314, \r 1315-1316\r mitigation potentials 1256\r policy interactions 1316-1317, 1317-1318\r spillovers and competitiveness effects \r 1318-1320\r sustainable development 1730, 1749-1764, \r 1770\r synergies and trade-offs 1730, 1761-1764, \r 1762, 1770\r [...]"


id: 358f63f9d4fe41b16e62fae60eebf797
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 6676
content:
"[...] transitions 1730, 1749-1764, 1770\r urban systems 898, 1755-1756, 1770\r crowding out 1587, 1675\r cryptocurrencies 168, 541\r cultural change 506, 535, 536-537, 1737\r cultural norms 157, 563, 1304\r cumulative emissions* 6-7, 9, 10-11, 217, 218, \r 227, 231, 231\r CO2 emissions and temperature goals 319-324, \r 320-322, 323, 329\r future CO2 emissions from existing infrastructure \r 265-267, 266, 267\r modelled pathways 23-24\r scenarios and pathways 308, 309, 319-324, \r 320-322, 323\r Current Policies (CurPol) 310-312, 313, 337, \r 1100, 1102, 1108, 1200, 1200\r cross-cutting implications 893\r emissions and energy characteristics 338\r emissions and warming characteristics 331\r level of ambition and scenario features 174, 175\r physical and transition risk 1585, 1585\r quantitative scenario selection 1879\r storyline 175, 1878, 1878\r warming levels 307, 309, 331\r Current Policies Scenario (WEO-2019) \r 1251-1252, 1252"


id: ed12acb89faa8f73897d1e5b99fe1ba2
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 39080
content:
"demand-side measures* 122, 527-535, 528, \r 560-561\r accelerated mitigation 512\r AFOLU mitigation potential 775, 776, 777\r AFOLU sector 753, 778, 802-805\r agriculture and forestry 750-751\r changing preferences 513\r circular economy 120, 538, 539, 544-546, 544\r costs and potentials 1257\r cross-sectoral implications 1313\r digitalisation 529, 538, 539-541, 539, 987-988, \r 1653\r energy demand-supply flexibility 987-988\r energy system flexibility technologies 652\r energy systems 661-662, 704\r equity and 506-507, 521-525, 525-527\r household energy demand 985\r infrastructure use 528, 529, 530, 531\r interacting benefits 505, 512, 514, 521-525, \r 522, 559\r mitigation potential 505, 514, 516, 528-529, \r 530, 532, 541, 543, 545, 775, 776, 777\r models/modelling methods 1866\r motivation and capacity for change 506-507\r policy design 507, 565-568\r preconditions and instruments for \r transformation 506-507\r rebound effects 531, 532, 538, 539-540, 540, \r 541, 544\r [...]"


id: b092d3ba63128cf084fdb6f606c9d401
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28296
content:
"[...] scenarios and pathways 34, 35, 336, 337, 508, \r 509, 535-538, 536-537\r and SDGs 120, 120, 523\r service provision efficiency 527-535, 528\r sharing economy 538, 539, 541-543, 544\r social influencers and thought leaders 506, \r 547, 702\r socio-cultural factors 528-529, 530, 531, 535, \r 547, 561\r structural and cultural change 507\r technology adoption 528, 529-531, 530, 535, \r 555, 561\r transport sector 32\r and well-being 521, 523, 572\r demand-side mitigation 117-124\r behavioural drivers 546-549, 549-554, 560\r bibliometric overview 510-511\r business and corporate drivers 557-558, 560\r COVID-19 and service provisioning 511-512\r gender, race and intersectionality 525-527\r governance, trust and participation 521-525, \r 522, 564\r institutional drivers 558, 559, 560\r interaction between drivers 570-571\r low demand scenarios 535-538, 536-537\r mitigation pathways 300\r opportunity space 527-546\r policies 564-570, 564-565\r services, well-being and equity 506-507, \r 512-527, 522, 523, 525-527\r [...]"


id: 95ba5896aab1d52426224942dacd39c3
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 23533
content:
"[...] socio-cultural drivers 555-557, 560\r technological and infrastructural drivers 559, \r 560\r transformative change 546"


id: 940fc7c809cd38cdf6018dcf4cb6926e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 23255
content:
"transition to high well-being low-carbon\u0002demand society 546, 546, 560-561\r mand-side transitions 560-561, 565\r materialisation of society 1169\r mocratic Republic of Congo 770\r mographic drivers 773\r mographics 262, 548\r nmark 256, 437, 908, 1073, 1206\r sertification* 785\r serts 1303\r veloped Countries/developed countries* \r 1824\r AFOLU emissions 253\r AFOLU mitigation potential 777, 778, 781, 782, \r 789, 790, 791, 792, 796, 803, 804\r agricultural land use 768\r appliances and lighting 980\r biomass use 972\r building retrofits 994\r buildings 955-956\r buildings emissions reduction potential 968, \r 970, 992\r buildings mitigation potential 955, 992\r buildings policies 1008\r classification 1823-1824, 1824\r climate finance 1482-1485, 1564, 1577\r consumption-based emissions 217, 241, 242\r decoupling of transport-related emissions 1058\r diet 254\r digitalisation 538\r distributional effects of mitigation 446\r emissions embodied in trade 218, 244, 245\r emissions projections 335\r [...]"


id: b1fb574ab2d46a3d36b02959c0e92d0c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28534
content:
"[...] emissions trends and drivers 65, 218, 233, 247\r energy use 516\r fertiliser use 794\r financial flows and stocks 1562-1563, 1562, \r 1563\r food system 804\r IMP for energy system transformation 690, 691\r industry 1176\r international trade and emissions 167\r manure management 796\r material demand 1177\r net zero energy buildings 440\r Paris Agreement 1472, 1473\r services for well-being 515\r sufficiency measures 992\r sustainable development pathways and SDGs \r 179\r technology development and transfer 1472\r transport demand 1102\r transport emissions 1053, 1099, 1100, 1101\r urban emissions 863, 885, 885, 886\r urban emissions scenarios 891, 892\r urban land expansion 863, 888, 888, 889\r urbanisation scenarios 888, 888, 889, 891, 892\r well-being metrics 513-514\r see also industrialised (developed*) countries\r veloping countries*\r adaptation and mitigation 1757, 1759\r adaptation finance 1579\r AFOLU emissions 253-254"


id: c4546db62b618d4a9b2f28184d8c4c88
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 31837
content:
"ggy \r biomass use 972\r bond markets 1606\r building retrofits 994\r buildings 955-956, 989-990, 992\r buildings mitigation potential 955, 988, 989, \r 991, 992\r capacity building 1473, 1487-1488, 1596, 1685, \r 1687\r circular economy 538\r classification 1823-1824, 1824\r climate finance 915-916, 1471-1472, \r 1482-1485, 1560, 1564, 1565, 1577\r climate governance and policies 1375\r climate investment trap 1569\r climate-related investment 169\r climate risk pooling and insurance 1594, \r 1595-1596\r coal use 624-625\r decoupling of transport-related emissions 1058\r diet 254\r digitalisation 538, 1654\r emissions embodied in trade 218, 245\r emissions trends and drivers 65, 218, 247, 1481\r energy investments 1556, 1603-1604\r energy use 516, 524\r finance gap 1549\r financial flows and stocks 47-48, 1562-1563, \r 1562, 1563\r financing mechanisms for renewables 1014\r fossil fuel-dependent 624-625, 1746, 1747, \r 1748, 1771\r fossil fuel resource rich 1769-1770\r GHG mitigation 1684\r governance 956, 1767\r [...]"


id: 6739cffb26c970354c7b24f9d1eb41b3
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 15435
content:
"[...] hydropower potential 639\r income inequality 524\r industry 1176\r inequality 264-265, 524\r informal economy 870, 910\r informal sector 925\r informal settlements 884\r innovation and low-emission technology \r adoption 11\r innovation systems 1661\r institutional capacity 956\r intellectual property rights (IPR) regimes 1657, \r 1682, 1687-1688\r international cooperation 1501-1502, 1602, \r 1656, 1698\r international trade and emissions 167\r investment and finance 1550, 1602\r investment gap 1577, 1578\r low emission strategies 433\r low-emission technology uptake 1684-1685\r material demand 1177\r material endowments and climate governance \r 1371\r media and climate change reporting 1378\r mitigation policies 1394, 1398\r National Adaptation Plans (NAPs) 1401\r net zero emissions 328-329\r Paris Agreement 1462-1463, 1472, 1473, 1475"


id: a18142bff80e596defa884c166e4c9b4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25629
content:
"health and nutrition 1279-1280, 1284-1285, \r 1284, 1292, 1293\r novel and future foods 1247, 1286, 1288-1289, \r 1294\r plant-based 1285, 1286, 1288-1289, 1294\r scenarios and pathways 315\r sustainable healthy diets 1279, 1294-1295\r digital activism 1375\r digital agriculture 1285, 1286, 1288\r digital economy 570\r digitalisation 11, 140, 273, 464, 538, 539-541, \r 539, 1652\r accelerating transition 1730, 1759-1761\r buildings 974-975, 984, 987-988, 992, \r 1652-1653, 1760\r COVID-19 pandemic 1759\r cross-sectoral 1314, 1759-1761\r demand-supply flexibility 987-988\r efficiency potentials 1652-1653\r energy demand 539-540, 974-975\r and energy efficiency 1652-1653, 1760\r energy systems 652, 1653\r governance 1654\r in low-emissions pathways 1700\r mitigation potential 505, 541\r and sustainable development 11, 1759-1761\r technology and innovation 1645, 1652, \r 1652-1654, 1700\r transport 1062-1063, 1062, 1653, 1760, 1761\r direct air capture (DAC)* 678, 1080, 1186\r [...]"


id: 5d7dd304382dba22db2db94ce94f8282
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 13735
content:
"[...] direct air carbon dioxide capture and storage \r (DACCS)* 25, 28, 324, 348, 348, 681, 1247, \r 1264, 1265-1267, 1272, 1273, 1275\r direct emissions*\r buildings sector 250, 513, 955, 957, 963, 991, \r 995\r industry 248, 1172-1174, 1173, 1174, 1175\r sectoral trends 236-237, 237\r transport 251, 1052, 1055-1056, 1055\r urban systems and other settlements 886\r disaster risk management (DRM)* 1595\r disaster risk reduction finance 1554, 1566\r discount rate* 226, 228, 305, 360, 1875\r discounting* 180-181, 1846-1847\r disequilibrium theories 182\r disruptive innovation* 1057-1058\r distributional effects/outcomes 43, 1383, 1383, \r 1386, 1387, 1515, 1741\r distributive equity* 369, 412, 445-446, 1386, \r 1460\r distributive justice 1405, 1407, 1746, 1748\r distributive outcomes 1460, 1460, 1477, 1515\r district heating and cooling networks 650, \r 898-899\r divestment 1744-1745\r Dominica 1686\r drivers of emissions see emissions trends and \r drivers; specific sectors\r drought* 374, 668, 1751-1752\r [...]"


id: 392f48d978f044c678278c7ff65c8f9a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 7270
content:
"public finances and debt 1592-1593\r public procurement 1672-1673\r rapid urban growth 255\r REDD+ 812-813\r renewable energy deployment, carbon leakage \r and lock-in 1745\r sectoral policy interactions 1317\r sharing economy 538, 542\r socio-technical policy impacts 1676\r stranded assets and structural inequalities 1745\r sufficiency measures 989-990\r technological change 1644\r technology and innovation 1645, 1699\r technology development 1472, 1487, 1684\r technology transfer 1472, 1487, 1645, 1656\r transport emissions 1058, 1101\r urbanisation 869, 870-871\r waste and waste management 910\r well-being metrics 513-514\r developing economies 1462-1463\r COVID-19 impacts 1559-1560, 1592\r emission transfers 245\r finance 169, 1561\r fossil fuel use and phase-out 699, 1567, \r 1743-1744\r impacts of building mitigation 998\r informal economy 870\r leakage 1318\r public procurement 1672-1673\r development pathways* 4, 45, 415, 448-472, \r 448, 456-459, 1739-1740\r adaptation and mitigation 468-471\r [...]"


id: 26f76c9ce808ea0f150ef627c93ae41a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 4017
content:
"[...] assessing 454-455\r climate-resilient 414, 450, 1405, 1757\r emissions and mitigation capacity 452-453, \r 454, 455\r innovative 454\r international cooperation 1458\r low-carbon development pathways 1740-1742\r low-emission development pathways 30\r national development plans 451, 452, 453, \r 453-454\r policy measures 455, 455, 456-457, 458, \r 460-461, 467-468\r risks and uncertainties 471-472\r shifting see shifting development pathways*\r socio-economic development pathways 361\r spatial patterns of development 452-453, \r 466-467\r synergies 453\r and system dynamics 1694\r unsustainable 1737-1738\r urban systems 873\r diet* 171, 528-529, 802-803, 825, 1279-1280\r and agricultural emissions drivers 771\r co-benefits 803, 876\r dietary shifts 528-529, 530, 547, 561, 1285, \r 1750\r emissions drivers 111, 254\r food labels, guidelines and regulation 1292, \r 1293-1295\r food types and emissions 1247, 1282-1283, \r 1283, 1288-1289"


id: f50ec5ef5372b77c3775fc32eeb37107
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 40479
content:
"E\r early warning systems 1686\r Eastern Asia 1823, 1824\r AFOLU emissions 253, 756, 759, 765, 766\r buildings emissions 250, 250, 964, 965, 966, \r 968\r embodied emissions 978\r reduction potential 970\r buildings energy demand 971, 973, 973, 974\r buildings mitigation potential 989, 991\r emissions trends and drivers 233, 234-235, 236, \r 238, 246, 247\r energy investment needs 1571\r energy sector emissions 248, 620, 621, 622\r energy use trends 623\r finance flows 1577\r industry emissions 248, 249\r international cooperation 1501\r nuclear power 640\r per capita floor area 969\r transport 251\r transport emissions 252, 1055, 1056\r urban population and urban expansion 883, 883\r water-energy-food nexus 1753\r Eastern Europe and West-Central Asia (EEA) \r 1824, 1824\r AFOLU emissions 756\r AFOLU mitigation potential 777, 778, 781, 782\r consumption-based emissions 241, 242\r emissions embodied in trade 244\r emissions projections 335\r emissions trends and drivers 233, 234-235, 236\r [...]"


id: c7a41826264fbf2faa84d54ed11fe518
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 32434
content:
"[...] energy investment needs 1571\r rice cultivation 771\r services for well-being 515\r transport demand 1102\r transport emissions 1053, 1055, 1056, 1100, \r 1101\r urban emissions 863, 885, 885, 886\r urban emissions scenarios 891, 892\r urban land expansion 863, 888, 888, 889\r urbanisation scenarios 888, 888, 889, 891, 892\r Eastern Europe geologic CO2 storage potential \r 641\r eco-industrial parks 1180, 1755\r ecological barriers and opportunities 825-826\r economic development 43, 773, 1175-1176\r economic drivers 245-255, 274\r AFOLU sector 252-254, 253, 773\r buildings sector 250-251, 250\r energy systems 247-248, 248\r global and regional 245-247, 246\r industry 248-250, 249\r low-carbon societal transition 153\r poverty and inequality 254-255, 264-265\r rapid and large-scale urbanisation 255\r transport 251-252, 252\r economic effectiveness 1383-1384, 1383, \r 1385-1386, 1515\r economic efficiency 180-181\r economic factors 165-169, 1729, 1734-1735, \r 1770"


id: 99ca22f4e5bfabd79b92b6f78b0f91e6
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 24285
content:
"accelerating sustainable transition 1734-1735\r feasibility assessment 187, 188\r finance and investment 168-169\r impacts of COVID-19 pandemic 163, 512, 1549, \r 1557-1560, 1591-1592, 1598\r implications of mitigation\r buildings sector 1004-1005\r enhanced asset values 1004-1005\r labour productivity 1004\r macroeconomic effects 1005\r services, sectors and urbanisation 166\r technology 167-168\r trade, consumption and leakage 166-167\r economic frameworks 1845-1847\r economic governance 1501\r economic growth 245-247, 274, 464-465\r decoupling emissions from 242-244, 242, 243\r development pathways and emissions 452\r energy-growth nexus 512-514\r growth rates 1828\r impact of IPR regimes 1681-1682\r modelling methods 1845\r and near- to mid-term mitigation 442-445, 443\r projections 313, 314\r socio-economic equity 521\r urbanisation and 255\r economic/market-based policy instruments \r 46, 628-629, 700, 815-816, 956, 1010-1011, \r 1292-1293, 1379, 1381, 1383, 1384-1388, 1767\r [...]"


id: 38f57b2782861aefbe5a9c38f4e5334e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 7226
content:
"[...] see also carbon markets; carbon price*; carbon \r taxes; emissions trading schemes (ETS); \r subsidies\r economic potential* 774, 1251\r AFOLU sector 33, 750, 755, 775, 776, 777, \r 807-809, 831\r agriculture 789, 790-791, 792, 793, 794, \r 796\r bioenergy and BECCS 802\r demand-side measures 804, 805\r forests and other ecosystems 780, 781, 782, \r 784, 785\r supply-side measures 775, 776\r hydropower 638\r projected 779\r regional AFOLU mitigation potential 777, 780, \r 781, 810-811, 810\r ecosystem services* 753\r AFOLU linkages 827-828, 829\r CANOPIES agroforestry project 791-792\r and Land Degradation Neutrality (LDN) \r 1304-1306\r payment for ecosystem services (PES) 815-816\r trade-offs 1301\r ecosystems 750, 780-781, 1497, 1504\r conversion to agriculture 768, 784-786\r ecosystem-based adaptation (EbA) 1403\r impacts of solar radiation modification (SRM) \r 1490, 1491, 1492\r Ecuador 1673, 1746, 1756\r education 264, 507, 513, 548, 1765\r capacity building 1473\r climate change 1737"


id: feee2b7db89a403c4026c53d5d6e7ffb
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 42248
content:
"education for sustainable development (ESD) \r 1765\r information initiatives/policy instruments \r 1294-1295, 1750-1751\r effective carbon price 1382-1383\r effective carbon rate (ECR) 269n\r effective radiative forcing (ERF) 1086, 1087\r efficiency 957-958\r economic efficiency 180-181\r land efficiency 253, 254\r regulations and innovation 1677-1678\r resource efficiency 911\r SER framework 955, 956, 957-959, 967-970, \r 968, 1849-1850\r service provision efficiency 527-535, 528\r water use efficiency 793\r see also energy efficiency*; material efficiency \r (ME)\r Egypt 254, 1390\r electric vehicles (EVs) 11, 32, 900, 1052, \r 1061, 1074-1079, 1108-1109, 1112-1113, \r 1118-1119\r accelerated mitigation pathways 440\r adoption/adoption rate 529, 567-568\r automated vehicles 542-543\r batteries 11, 12, 257, 258, 628, 654-655, 657, \r 1069-1070, 1079, 1116, 1116-1117, 1120\r buses and passenger rail 1079, 1080, 1081, \r 1082\r charging infrastructure 628, 1071-1073\r costs 1080, 1082\r [...]"


id: 4dad1cda70c2e6164292df7891ba9d6
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 10943
content:
"[...] critical minerals 1116, 1116-1117\r critical strategic minerals 637-638\r emissions 1074-1077, 1075, 1077, 1081\r freight rail 1083, 1084-1085, 1085\r freight trucks 1082, 1083, 1084-1085, 1085\r fuel efficiency 1146-1147\r hybrid electric vehicles (HEVs) 1069, 1074-\r 1076, 1075, 1077, 1079, 1081, 1083, \r 1146-1147\r infrastructure 271\r lifecycle assessment 1145-1146\r lifecycle costs (LCCs) 1078, 1079, 1080, 1082, \r 1148-1149\r operating emissions 1074, 1076\r plug-in hybrid electric vehicles (PHEVs) \r 1074-1076, 1079\r policy impacts 271\r policy packages 569\r potential 1074, 1076\r prices 628, 1079, 1082, 1148-1149\r production-based emissions 1076\r subsidies 1387\r trends and developments 628, 1076-1077\r two-wheelers 1077, 1113\r vehicle size 1076-1077\r electrical energy storage systems (EES) \r 1069-1070\r electricity\r access to 556, 623, 623-624\r demand 688, 955, 957, 974, 984-985, 1005, \r 1183\r final energy demand per fuel 970-971, 971"


id: 526263fbd45e29c857e83428783d6f26
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 11772
content:
"prices 615\r transmission 660, 665\r electricity generation\r climate change impacts 666-668\r decarbonising 436, 436-437, 688-689, 703\r feed-in tariffs 1387, 1388\r fossil fuel-based 623\r GHG emissions trends 236, 237\r production costs 647\r renewable 28, 436, 436-437, 616, 675-676, \r 1388\r Renewable Portfolio Standards (RPS) 1388\r electricity sector\r costs and potentials 530, 1257, 1257, 1259\r demand-side mitigation measures 530, 984-985\r emissions 620, 687\r low-carbon transition outcomes 703\r policies 1382, 1387, 1388\r electricity systems\r 100% renewable 616, 675-676\r climate change impacts 665, 666-668, 670\r integration 684\r low-carbon 688-689, 688\r models/modelling methods 1847-1848\r powered by renewables 28\r smart grids 660, 900\r system management 674\r vulnerability 670\r zero/negative CO2 emissions 674-675\r electrification 91-92, 1188\r accelerated mitigation pathways 436, 439\r buildings 439, 676-677, 694, 974, 1001, \r 1003-1004\r buildings services 676-677\r [...]"


id: edd35bdc2ec29791de4b59b12d6cdc14
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 39199
content:
"[...] co-benefits, synergies and trade-offs 705, \r 900-901, 1001, 1003-1004, 1211\r cooking energy/technology 559, 705, 1001\r direct electrification 1182-1183\r of end uses 676-677, 691-692\r energy systems 652\r governance 912\r indirect emissions 1056\r industry 441, 677, 694, 1163, 1182-1183, 1187, \r 1191, 1192, 1194, 1203, 1207, 1211, 1213\r investment needs 1571-1572\r long-term goal compatible mitigation pathways \r 299\r mitigation potential 1257\r net-zero energy systems 676-677\r policy approaches and strategies 912, 1209, \r 1213\r rural households 1001, 1003-1004\r and SDGs 705, 1211\r and sustainable development 704, 705\r transport 440, 676, 677, 899-901, 1053, \r 1108-1109\r electric rail systems 1079\r electromobility 440, 1052, 1112-1113, \r 1116-1117, 1118-1119, 1120\r shipping 1095, 1098\r see also electric vehicles (EVs)\r urban energy systems 873, 875, 912\r urban systems 899-901, 912"


id: 2b27dcb815a67cab9115a06ac2771c0c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 4837
content:
"missions Database for Global Atmospheric \r Research (EDGAR) 221-222, 757, 764, 765, \r 1831, 1833, 1836-1837\r missions gap 14, 14n, 351, 358, 411, 414, 422, \r 425, 763, 913-914, 1477\r missions pathways 417, 422, 431\r national 431, 432, 433-435, 434\r missions scenarios* 173-176, 1870\r AFOLU 806-807, 806\r GHG emission metrics 228\r high-end emissions 317, 385\r historical trends and baseline scenarios 232\r socio-economic drivers 1875\r SSP-based 1873, 1874, 1875\r missions trading schemes (ETS) 13, 270, 815, \r 1365, 1383, 1384-1385, 1386, 1393, 1394\r aviation 1089\r building sector finance 1012\r and Clean Development Mechanism (CDM) \r 1386, 1394, 1475-1476, 1484\r effectiveness 465-466, 1385-1386, 1396, \r 1587-1588\r energy sector 628-629\r impact on innovation 1675\r international linkage 1488\r international trade agreements 1500\r policy interactions 1396-1397\r missions trends and drivers 6-16, 7, 10-11, \r 59-68, 166, 215-274\r air pollution 232-233, 232\r anthropogenic GHG emissions trends 217, \r [...]"


id: c264e3dd9d7ec251025681d312d7f00
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 31480
content:
"[...] 228-232, 229\r behavioural choices and lifestyles 260-265\r consumption-based emissions 217, 239-245, \r 241, 244, 247\r COVID-19 pandemic 60-61, 217, 230-231, 230\r cumulative emissions 10-11, 217, 218, 233, \r 235, 239\r decoupling 217, 247\r direct drivers 767-771\r economic drivers 245-255, 274, 773\r emissions embodied in trade 217-218, \r 244-245, 244\r emissions growth 217, 218, 228-230, 233, \r 236-237, 236, 238\r emissions reductions 217, 219, 230-231, 233, \r 236, 236, 247, 255-256, 274\r FAQs 274\r future CO2 emissions 219\r global AFOLU emissions 756-759, 756, 758, \r 762-763, 764-765, 764\r global emissions trends 159, 160, 246\r global GHG emissions trajectories 228-232\r global GHG emissions trends 10-11, 238\r historic cumulative emissions 10-11, 233, 235, \r 239\r historic emissions 222, 231-232, 231\r impact of economic and geopolitical events 230\r impact of mitigation policies 1479-1481\r indirect drivers 767, 773\r infrastructure, existing and planned long-lived \r 265-269\r [...]"


id: bc07c90800c2eebb6b000e21fdf9773d
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 30316
content:
"inequality and emitters 264\r international cooperation 172-173\r international transport emissions 1506-1508\r inventories 221-222, 273\r and long-term temperature pathways 424-426\r models/modelling methods 1865\r near-term emission levels, implications on long\u0002term goals 351-356, 352, 353\r near-term projections 418-422, 419-420, 421, \r 422, 424-426\r ozone-depleting substances (ODS) 1496\r peatlands 785\r per capita 160, 161, 178, 179, 218, 241, 242, \r 246, 263\r CO2-FFI emissions 233\r GHG emissions 9, 10-11\r per unit GDP 161, 162\r policy impacts 171, 219, 269-273\r projections 17-25, 18-20, 26-27\r reductions 9, 13, 17, 18-20, 28-34, 35\r biochar 790\r carbon pricing policies 1385\r energy efficiency 1387\r fossil fuel subsidy removal 1387\r illustrative pathways (IP) 309, 312\r institutions and governance 1358\r international aviation and shipping \r 1506-1508\r international cooperation 1467, 1506-1508\r Kyoto Protocol 1475\r legislation for 1361-1363, 1362\r market mechanisms 1359\r [...]"


id: b870b37e6234096270bc3c8d95db2d64
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 29659
content:
"[...] models/modelling methods 1856\r net zero targets 1407-1408\r Paris Agreement 1467, 1476-1477\r policy attribution 1479-1481\r targets 1460\r voluntary for offset credits 1386\r regional contributions 9, 10-11\r reporting 239\r residual emissions 268-269, 268, 671, 692-693\r scenarios 21-23\r sectoral 6, 8, 194\r sectoral contributions 247-254, 248, 249, 250, \r 252, 253\r sectoral mapping on sources 1831-1837, \r 1832-1833, 1834-1836\r SLCFs see short-lived climate forcers (SLCFs)*\r targets 328-329, 1359, 1363, 1364, 1517\r territorial 167, 221-238, 239, 240, 1165, 1176, \r 1283-1285, 1284\r trends calculations 1828\r uncertainties 222-226, 229, 240\r units and unit conversions 1824, 1825\r urban 8, 871-873, 927, 1755-1756\r urban land use and GHG emissions 880-881\r urban-rural differences 255, 260, 262, 263\r see also anthropogenic emissions*; \r consumption-based emissions*; cumulative \r emissions*; embodied (embedded) \r emissions*; production-based emissions*; \r specific gases and sectors"


id: e8bbe842f3e99b2f9f6ca4a220afbb7b
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 38292
content:
"electromobility 440, 1052, 11121113, 1116\r 1117, 1118-1119, 1120\r embodied (embedded) emissions* 156, 159n, \r 162, 217-218, 244-245, 244, 520, 1176, \r 1213-1214\r buildings 955, 957, 963, 977, 978\r construction materials 901-902, 901, 977\r passenger rail 1079-1080\r emerging economies\r committed emissions 697\r industry 1207\r informal economy 870\r socio-technical policy impacts 1676\r urbanisation 869\r emission metrics 6n, 222, 225-226, 226-228, 319, \r 417, 1824, 1825, 1830, 1831\r emission pathways* 14-25, 15-16, 18-20, \r 26-27, 298, 303, 762-763\r with current policies 298\r impact of climate 335\r socio-economic drivers of emissions 313-315, \r 314\r temperature outcomes 315-334, 315, 317, \r 330-332, 1741-1742\r timing of net zero emissions 324, 327\r until 2050 1260, 1260\r emissions*\r accounting approaches 65, 239-240\r accounting frameworks 871-873, 927\r air pollution 271-272\r allocating by sector 8\r anthropogenic mercury emissions 1497\r Arctic 1094\r [...]"


id: 117c860f8feb6112bbf4db7887bec442
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 277
content:
"[...] assessment methods for projected emissions \r 416-418\r behavioural changes and 163\r biomass supply 801\r co-emissions 232-233\r committed emissions 355, 697, 919, 923, \r 1208-1209, 1743\r contribution to warming 225, 226, 232\r and COVID-19 pandemic 7, 162-163, 511-512\r datasets 221-222, 240, 240, 273, 760-761, 764, \r 765, 1831-1837, 1832-1833, 1834-1836\r decoupling from economic growth 242-244, \r 242, 243, 247\r dietary 1247\r drivers see emissions trends and drivers\r economic development and 178-180, 179\r estimation methods 760-762, 761, 762-763, \r 927\r existing fossil fuel infrastructure emissions 16, \r 68, 265-268, 266, 267, 1743-1744\r fire emissions 783, 784\r growth rates 1827-1828\r historic cumulative emissions 6-7, 233, 235, \r 239\r historical 222, 231-232, 231\r historical data 1831\r household emissions 9, 260-265, 1747\r hydrofluorocarbons (HFCs) 221, 224, 229, 1496\r impact of development pathways 452-453\r and income 505-506"


id: 84d51319e71903593eeefc4f02299976
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 20511
content:
"mitigation in context of 159-162, 160-161\r OECD and non-OECD countries 245, 247, 251, \r 254\r past and present trends\r consumption-based CO2 emissions \r 239-245, 241, 244\r emissions embodied in trade 244-245, 244\r per capita emissions 218\r policy attribution 1479-1481\r policy impacts 171n, 219, 273\r policy instruments 269-273\r production-based emissions 247\r projected trends 14-16, 15, 156\r regional AFOLU emissions 756-758, 756, \r 759-760, 759, 765-766, 765\r regional GHG trends 159-162, 161, 233-236, \r 234-235, 236, 238, 246\r regional sector emissions 245-254, 246, 248, \r 249, 250, 252, 253\r sector-specific policies 271-273\r sectoral climate policies 270-271\r sectoral drivers 247-254\r sectoral GHG emissions trends 230-231, \r 236-237, 237, 238, 246, 248, 249, 250, 252, \r 253\r short-lived climate forcers (SLCFs) 232-233, 232\r technological change 168, 255-259, 260\r see also specific sectors\r employment 445, 464-465, 474\r and coal phase-out 624-625\r energy sector transformation 368-369\r [...]"


id: 4c3795b8dc98deb90d244063fad0b489
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 10670
content:
"[...] energy transition 1695\r food systems 1280\r just transitions 1560-1561, 1747\r pathways and scenarios 300, 368-369\r sub-national policies and green jobs 1682\r working conditions 1755\r enabling conditions (for adaptation and \r mitigation options)* 44-48, 165-166, 187, \r 188, 412\r for accelerated mitigation 412-413, 414, \r 459-464\r behaviour and lifestyle changes 412, 463-464, \r 1764-1766\r for CDR deployment 1272\r equity and just transition 1768-1769\r financial systems and economic instruments \r 1767\r holistic planning and nexus approach \r 1769-1770\r improved institutions and governance 412, 460, \r 461-462\r institutional capacity and multi-level governance \r 1767-1768\r investment and finance 412, 460, 462-463\r policy integration 412, 460, 461\r policy sequencing and packaging 569-570\r for shifting development pathways 412, 413, \r 414, 458-459, 459-464\r sustainability transitions 1730-1731, \r 1764-1770, 1771\r technology and innovation 460, 464, 1645, \r 1693-1694, 1698-1699, 1766-1767"


id: 241d686355395cdf949722dc2c564168
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 3533
content:
"transport 1111-1118, 1118-1119\r urban mitigation and adaptation 880\r energy access* 375, 516-517, 517-518, 568, 623, \r 623-624, 1000-1001, 1001\r electricity from renewable source 556, 623\r and electrification 705\r energy system integration 706\r fossil fuel-based electricity 623\r interaction with other SDGs 705, 705\r international cooperation 1485, 1505\r just transitions and climate finance 1560, \r 1603-1604\r modern energy services* see access\r subsidies 629\r energy auctions 1676\r energy audits 1009-1010, 1391\r energy carriers 91-92, 643-644, 658, 691-692, \r 692, 970-971, 971\r energy communities 1014\r energy conservation 435\r energy demand 513, 516, 534\r behavioural interventions 548-549, 549-554\r building sector models 1849, 1852\r buildings 955, 957, 970-974\r climate impacts 996-997\r major trends 974-975\r per end use 972-974, 972-973\r per fuel 970-972, 970-971\r climate change impacts 665, 669\r for cooling 375\r digitalisation 539-540, 974-975\r [...]"


id: 17a28a7ca19546b4d58947127d5616a7
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 1366
content:
"[...] direct air carbon dioxide capture and storage \r (DACCS) 1266-1267\r modelling methods 1849\r projections 313-315, 314\r reducing 679-680, 692\r trends 615\r energy efficiency* 1188\r accelerated mitigation pathways 435, 439-440, \r 441\r air conditioning systems 974\r appliances and lighting 980-981, 980, \r 1662-1663, 1678, 1679\r buildings 439-440, 981, 982, 1008-1011\r cement and concrete 1190\r climate finance 1564\r cooking energy/technology 567\r cooling and refrigeration 439, 974\r and digitalisation 1652-1653, 1760\r efficiency regulation 1677-1678\r electric vehicles (EVs) 1076\r and electrification 705\r emissions trends and drivers 245-246\r end-use efficiency strategies 661, 662, 679-680, \r 695, 704\r food storage and distribution 1290-1291\r household 909\r industry 249-250, 441, 1171-1172, 1180-1182, \r 1181, 1187, 1191, 1203, 1211, 1213\r inequitable societies 524\r investment 695, 1569, 1576\r investment needs 1572, 1573\r net-zero energy systems 679-680"


id: f68064f7938e891b9f61e514448089f5
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 40740
content:
"policies 1209, 1213\r and SDGs 704, 705, 1211\r service provisioning 533-535, 533, 534\r shipping 1507\r standards and labelling 1011, 1391, 1662-1663, \r 1677-1678, 1679\r steel 1189\r subsidies 1387\r tradable white certificates 1677\r transport 251, 252, 1106, 1107, 1507\r urban systems 899, 909\r energy governance 1504-1506\r energy intensity 247, 1747\r appliances and lighting 980\r buildings 251\r industry 249-250, 1199, 1199\r energy labels see standards and labelling\r energy nexus approaches\r energy-growth nexus 512-514\r energy-water-land nexus 1859\r see also water-energy-food nexus\r Energy Performance Contracting (EPC) 1012\r energy performance standards 1010, 1012, 1678\r energy poverty* 516-517, 524, 873, 875, 876, \r 1001-1002, 1003, 1603-1604\r energy prices 1655\r energy resources 682\r energy security* 623, 684, 1005\r energy services*\r access to 9, 218, 254-255\r efficient 256\r well-being 514-516, 515\r energy sources 616, 630-650\r low-carbon trends 627\r urban and industrial waste 1180\r [...]"


id: a1bf3b40bf96c56e6fda644b8019a3c4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25680
content:
"[...] waste heat to power (WHP) 1181\r waste-to-energy 649-650, 910\r energy storage 627-628, 639, 652-657, 653, 654\r cross-sector coupling 650\r energy conversion 653-654\r flexibility technologies 652\r net-zero energy systems 674, 675\r social aspects 656-657\r technologies 652-653, 653, 654-656\r see also batteries\r energy systems 89-94, 613-707, 617-618\r 100% renewable 332-333, 616, 674, 675-676, \r 707\r accelerated mitigation 435-439, 436-437\r air pollution emissions 233\r barriers and enablers 629, 630, 637, 660, 664\r buildings, on-site renewables 981, 1005\r carbon capture (CCU and CCS) 615, 641-643, \r 645, 646-647, 657, 668, 672-675, 693, 700, \r 705-706\r carbon dioxide removal (CDR) 615, 643, 645, \r 671-674, 675, 681, 692-693, 705-706\r climate change impacts 375, 616, 663, 665, 669, \r 1752-1753\r on electricity system vulnerability 670, 1752\r on energy consumption 669\r on energy supply 666-668"


id: 2cff9825b8d98fcc09d7f1f38f5b71c0
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 5187
content:
"final energy demand 313-315, 314\r fossil fuels 698-700, 699\r global energy flows 92-93\r Illustrative Mitigation Pathways (IMPs) 309, \r 312, 333, 334, 689-691\r near and medium term transition 685-693\r net zero emissions 337, 680, 686\r sustainable development 375\r technology/infrastructure investment \r 693-695\r sector coupling 675, 681\r service-based business models 1607\r smart charging strategies 1072-1073\r smart energy systems 899, 900, 1182, 1760, \r 1761\r social aspects 618-619\r acceptability 702-703\r encouraging mitigation action 701-702\r energy storage technologies 656-657\r societal preferences 684\r spillover effects 1319-1320\r stranded assets 355\r and sustainability 616, 623-624, 698, 703-706\r synergies and trade-offs with SDGs 41-42, 698, \r 704-706, 705, 1761, 1762\r transformation and employment 368-369\r transformational change 1667-1669, \r 1667-1668, 1767\r transition 256-259, 1695, 1741, 1767, \r 1768-1769\r implications of near-term emission levels \r 352, 354\r [...]"


id: df1462e5c59f1bb4b9ae1a4d039f7a74
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 36499
content:
"[...] transition indicators 693\r see also low-carbon energy transition\r trends and developments 619-629\r coal phase-out 624-625, 625-626\r energy supply and use 622-623, 622\r non-climate factors 623, 623-624\r policies 628-629, 629\r renewables and low-carbon energy sources \r 627-628, 627\r urban 899-901, 981\r urban symbiosis 1180\r voluntary initiatives 430\r vulnerability 1752\r waste heat to power (WHP) 1181\r waste-to-energy 649-650, 910\r water-energy-food nexus 1751-1754\r nergy systems models (ESMs) 535-538\r nergy technologies 167\r deployment and diffusion 1649, 1657-1658, \r 1658-1659\r investment and finance 1664-1665, 1664, \r 1665-1666, 1673-1675, 1674-1675\r synergies and trade-offs 1695-1696\r technology costs 1657, 1658-1659\r nergy use 513, 519\r appliances and lighting 979-981, 980\r digitalisation solutions 540\r and electrification 704, 705\r feedback 702\r food system GHG emissions 1284-1285, 1284\r household 520, 979-981, 980"


id: 63138e8d9b183a333feedc64534c6ddf
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14722
content:
"renewable energy impact on climate \r 670-671\r climate litigation 1376, 1377\r cooling 1752\r costs and benefits 647, 661-662, 703-706\r costs and potentials 38-39, 1252, 1254, \r 1256-1257, 1257, 1258, 1258, 1259, 1259\r COVID-19 pandemic 163, 230-231, 230\r cross-sector coupling 650-651\r cross-sectoral interactions and integration 1115, \r 1206-1207, 1313\r definitions 619\r digitalisation 652, 1653\r district energy networks 981\r electric vehicle-grid integration 1072-1073\r electricity prices 615\r emissions 8, 230-231, 230\r CO2 emissions 246, 433-434, 619-620, \r 620, 685-688, 685, 686, 687, 1303, \r 1836-1837\r committed emissions 697\r food system GHG emissions 1280-1281, \r 1281, 1282\r fossil fuel CO2 emissions 619-620, 619, 620\r fossil fuel methane emissions 646\r methane (CH4) 28, 646, 1832, 1833, \r 1834-1836\r net negative emissions 433-434\r net zero 28, 671-672\r residual emissions 671, 692-693\r sources 1832, 1833, 1834-1836\r emissions growth 218\r emissions pathways 685-688, 685, 686, 687\r [...]"


id: 79e6be7aef02a8dd7605291734a6aa52
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 18650
content:
"[...] emissions reductions 309, 312, 616, 685-688\r emissions trends and drivers 236-237, 237, \r 238, 246, 247-248, 248, 615, 619-622, 619, \r 620, 621\r end-use efficiency strategies 661, 662, 679-680, \r 695, 704\r energy storage see energy storage\r FAQs 707\r feasibility 629, 630, 663, 664\r fossil fuel phase-out 624-625, 625-626, 693, \r 1742-1749, 1743, 1771\r gap indicators 425-426\r global energy flows 92-93\r governance and institutions 681-682, 682, \r 700-701, 1504-1506\r grid services 653, 653, 656\r illustrative pathways (IP) 309, 312\r infrastructure 693, 697\r institutions 1367\r integrated approach 661\r integration 616, 650-652, 680-681, 684, \r 684-685, 706\r interconnected and smart grids 660, 900\r international cooperation 1504-1506\r investment and finance 300, 615, 693-695, 694, \r 695, 697, 1505-1506, 1556, 1566-1567, \r 1568-1569, 1570-1572, 1570-1571, \r 1603-1604\r investment gap 1576"


id: 6ff4cfe340a493a8d7386875554ef290
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 16951
content:
"investment needs 363-364, 363, 364, 1572, \r 1573\r land occupation 1298, 1302-1303\r levelised costs of electricity (LCOE) 662-663, \r 662, 663\r lock-in and path dependence 696, 697-698\r long-term mitigation costs 616, 703-704\r low emission energy sources 436\r micro-grid systems 1005\r mitigation options 629, 630, 662-663, 664\r cost-effectiveness 616\r demand-side measures 661-662, 704\r digitalisation and advanced control systems \r 652\r end user engagement 661\r energy sources and conversion 616, \r 630-650\r energy storage for low-carbon grids \r 652-657, 653, 654\r energy system integration 650-652\r energy transport and transmission 657-660\r flexibility technologies 650, 651-652\r long term 1260\r prices 615, 627-628\r public support 633, 637, 639, 640-641, \r 642-643, 646, 648, 649, 650\r models/modelling methods 1845-1846, \r 1847-1848, 1892\r Nationally Determined Contributions (NDCs) \r 416, 418, 421\r net-zero see net-zero energy systems\r nuclear power 438-439\r [...]"


id: 800a26489f6eac3cf5e3c2dc5477179b
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 19656
content:
"[...] policies 628-629, 629, 696, 700-701, 1767\r for CCS deployment 643\r economic instruments 1385, 1386, \r 1387-1388\r financial schemes 701-702\r information programmes 702\r market-based instruments 628-629, 700\r near term choices 697\r policy packages 700-701\r power system management 1752-1753\r regulatory instruments 628, 1388, 1389\r for systemic transformation 1667-1669, \r 1667-1668\r production costs 645, 647\r public R&D funding 1673, 1674-1675, \r 1674-1675\r regional factors 666-669, 682-684, 684-685, \r 695\r renewable electricity generation 436, 436-437\r renewable energy penetration 627, 1742-1744, \r 1743, 1771\r resilience 652, 653-654, 669\r scenarios and pathways 24-25, 28-29, 308, \r 332-334, 338, 615, 703, 1892\r bioenergy cross-sector linkages 340-341\r cumulative emissions and temperature goals \r 323\r emissions 685-688\r energy supply 341, 342, 342\r energy technology diffusion 1657-1658, \r 1658-1659"


id: 9b91c2a6832b8c06098d6b50b34bfd21
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 24622
content:
"adaptation and mitigation 878\r AFOLU 1757\r emissions 253, 756, 756, 759, 765, 766\r mitigation potential 781, 782\r policy and regulation 272\r removals 760\r ASI behaviour 548\r bioenergy 438\r buildings emissions 250, 250, 251\r buildings mitigation potential 955, 988, 989, \r 989, 991\r buildings policies 251\r buildings technology 994-995\r carbon pricing 270, 1213\r carbon taxes 1384, 1385\r climate change impacts on energy supply 667, \r 668\r climate-related economic losses 1594\r climate-smart forestry (CSF) 782, 782-783\r coal use and phase-out 624, 625, 626, 699\r critical minerals 1117\r decoupling of transport-related emissions 1058\r deforestation and REDD+ 1504\r emissions embodied in trade 245\r emissions trends and drivers 233, 234-235, 236, \r 238, 246\r energy-efficient lighting transition 570\r energy investment needs 1571\r energy sector emissions 248, 620, 621, 622\r energy system 246, 247, 250, 1752\r energy use 623, 1747\r EV uptake 567\r forest area 767\r fuelwood harvest 770\r [...]"


id: 596f0fef7404cdc6e7110b61a0d85b7
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 12972
content:
"[...] geologic CO2 storage potential 641\r impacts of solar radiation modification (SRM) \r 1491\r industry 1206-1207, 1215-1216, 1217\r industry emissions 248, 249\r non-CO2 emissions 1390\r nuclear power 640\r policy packages 570\r pollution policies and regulation 271\r renewable energy capacity 627\r renewable feed-in tariffs 1736\r research, development, and innovation (RDI) \r 1217\r technological change 257\r technology transfer and cooperation 1502\r transport 567, 1061, 1089-1090\r transport demand 1101-1103, 1102\r transport emissions 252, 1055, 1056\r transport modal trends 1104\r urban expansion 883, 883\r urban green infrastructure 905\r urban land use trends 884\r urban population 870, 883, 883\r urbanisation 768\r voluntary offsets 814\r waste-to-energy and CCS integration 650\r see also Eastern Europe and West-Central Asia; \r Europe and Eurasia; European Union (EU); \r specific countries"


id: 2e21b34b26f095acc49b554c1ec4295a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 5391
content:
"rope and Eurasia\r buildings emissions 964, 965, 966, 967, 968\r embodied emissions 978\r reduction potential 970\r buildings energy demand 971, 972-973, 973\r buildings mitigation potential 991\r per capita floor area 969\r ropean Union (EU)\r accelerated mitigation pathways 435, 436, 437, \r 438, 439, 440, 441\r AFOLU emissions 254\r AFOLU mitigation pathways 806, 807, 807\r AFOLU mitigation potential 810-811, 810\r agriculture subsidies 816\r bioenergy policies 818\r buildings 439, 440, 990, 993, 994\r carbon border adjustment mechanism (CBAM) \r 1213-1214, 1500\r carbon pricing policies 1385-1386\r circular economy 442\r climate policies and governance 1365, 1405\r coal use and phase-out 624, 625\r consumption-based emissions 243-244\r Emissions Trading System (ETS) 270, 628, 1089, \r 1365, 1383, 1384, 1385, 1386, 1393, 1396, \r 1475-1476, 1484, 1488\r energy-related CO2 emission pathways 434\r energy sector 437, 439\r energy transition policies 700\r finance mechanisms for renewables 1013\r food system 804\r [...]"


id: 137d0ae58ebf6a064da4fe30d06bf50a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 638
content:
"[...] forest and forest sector 782-783\r household carbon footprint 520\r household emissions 260\r industry 441\r international cooperation 1501\r international trade and consumption 520\r marginal/abandoned/degraded land 800\r mid-century emission pathways 433, 434\r mitigation policies 1390, 1398\r net zero energy buildings 440\r net zero targets 432, 436, 1465\r non-CO2 emissions 1390\r Paris Agreement 1462, 1463, 1465\r payment for ecosystem services (PES) 815\r policy impacts 270\r REDD+ 1503\r renewable energy policies 270\r retirement of fossil fuel power plants 1743-\r 1744\r transition strategies 1657\r voluntary agreements 1392\r olutionary economic theories 182\r ergy* 527, 534-535\r novation 256, 1397\r tended producer responsibility (EPR) 1220\r tinction Rebellion 556, 1508\r traction-based emissions (EBEs) 239\r treme weather events* 753, 864, 877, 1751, \r 1752\r building impacts 997\r economic costs 877\r energy systems 669, 670"


id: f8cceea38b6e9b7ba8092d4d64509e41
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 41134
content:
"and income 516-517, 516\r industry 1171, 1176\r per capita 516\r reduction 435\r residential 908-909\r trends and developments 622-623, 622\r variations in 518-521, 524\r Enhanced Transparency Framework 422\r enhanced weathering* 348, 348, 1247, \r 1267-1268, 1272, 1273, 1275, 1302\r enteric fermentation* 253, 771, 789, 792-793, \r 806-807, 806\r environmental effectiveness 1383-1384, 1383, \r 1385, 1515\r environmental finance 1552\r environmental goods 1500-1501\r environmental impacts 632, 637, 639, 640\r environmental impacts indicators 1856\r environmental knowledge 264\r environmental taxes 1676\r equality* 1746-1749, 1771\r equity* 43, 153, 170, 179, 180, 476, 506-507, \r 1745-1749\r accelerated mitigation 412, 415, 472-474, 474, \r 475\r climate change asymmetries 183\r climate governance 1359\r and demand-side mitigation 521-525, 525-527\r distributional effects of mitigation 445-446\r and economic growth 521\r environmental impact of increasing 521\r inequity in access to basic energy use and \r [...]"


id: 230fc957ca2c0163225a2b5d8fe69db1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 3362
content:
"[...] services 516-521, 517-518\r integrated governance 1405\r international cooperation 1458\r Nationally Determined Contributions (NDCs) \r 423, 1468\r Paris Agreement 1465\r positive feedbacks 522\r regional share of global emissions 235\r shifting development pathways 415\r socio-economic 521-525, 525-527\r stranded regions 1410\r sustainability transitions 1768-1769\r urban mitigation co-benefits 875, 876\r ESG (environmental, social, and governance) \r financial products 1550, 1600-1601\r ETC Supply Side scenario 1202, 1203\r ethics 153, 170, 182-183, 1493\r Ethiopia 1754, 1755\r Eurasia\r AFOLU emissions 253, 759, 765-766, 765\r AFOLU removals 760\r buildings emissions 250, 251\r buildings mitigation potential 989\r emissions trends and drivers 238, 246\r energy sector emissions 248, 620, 621, 622\r energy system 246\r financial flows and stocks 1562, 1563\r industry emissions 249\r transport emissions 252\r see also Europe and Eurasia\r Europe 1823-1824, 1824"


id: 6588d35b2a6215bf00f1d586d964d975
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 15130
content:
"processing and packaging 1287, 1289-1290\r projections of food consumption 314, 315\r regional differences 111, 111, 1284-1285\r storage and distribution 1287, 1290-1291\r supply chain management 818\r sustainability 373-374, 1283-1285, 1284, \r 1292-1295\r transformation 1248, 1285, 1291, 1292\r urban 910\r waste 254, 528-529, 803-804, 825, 1285, \r 1290, 1294, 1750-1751\r see also water-energy-food nexus\r Foreign Direct Investment (FDI) 1656, 1681\r forests* 750, 760-761, 779-784, 782-783\r afforestation 272, 323, 471, 751, 766, 767, \r 780-781, 825-826\r afforestation/reforestation (A/R) 766, 780-781, \r 1264, 1265, 1273-1274, 1276, 1277, \r 1300-1302\r carbon storage 804, 805, 826\r climate-smart forestry (CSF) 782, 782-783, 800, \r 1309\r community forest management (CFM) 817-818, \r 817\r costs and potentials 1257, 1258, 1258, 1259\r demand-side measures 750-751\r emissions 760, 762\r fire management 783-784\r fire regimes 770\r forest certification programs 818\r forestry and other land use (FOLU) CH4\r [...]"


id: d6f5580d11d8de88276a1a752b2fb2a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 35124
content:
"[...] emissions 764\r forestry industry 1195\r global area and regional distribution 767-768\r governance 1510\r international cooperation 1503-1504\r logging and harvesting 770-771, 782, 818, \r 1300\r management 781-784, 782-783, 804-805, \r 816-818, 817, 826, 1274, 1276, 1300\r New York Declaration on Forests (NYDF) 1504\r policies 1382\r regulatory measures 816-818, 818-820\r sub-national and non-state actors/actions 430\r subsidies 751\r supply-side measures 751, 753\r sustainable management 804-805\r technological changes 773\r urban and peri-urban 903, 903-904, 905, \r 905-907, 910\r wood products and material substitution \r 804-805, 995-996\r zero deforestation pledges 272-273\r see also deforestation*; REDD+\r fossil fuels* 169, 646-648\r business and corporations 557, 558\r climate litigation 1376-1377\r corporate actors in climate policy 1374\r media access 1378\r stranded assets 1744-1745\r carbon taxes 1386\r civil society campaigns against 1509\r climate-related financial risk 1581, 1582, 1584"


id: 20c3f702d4b18853b021320e6098763b
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 2983
content:
"fine particulate matter 441\r Finland 1296-1297, 1363\r fintech applications 1607\r fire management 783-784\r fire regimes 770\r flexibility (demand and supply)* 650, 651-652, \r 985, 987-988\r floods* 374, 1752\r impact on energy system 670\r perception of climate risk 547\r stormwater management 876, 907-908\r urban green and blue infrastructure 907-908\r urban impacts 877\r fluorinated gases (F-gases) 6n, 217, 221\r annual global emissions 223\r atmospheric lifetime 1831\r CO2-eq emissions 224, 229\r contribution to warming 225\r costs and potentials 1253, 1257, 1258, 1260\r emission pathways 17, 24\r emissions datasets 1831, 1832\r emissions growth 228-229, 229\r emissions sources 1832\r emissions trends 6, 7, 160, 224, 228\r food system emissions 1281, 1281, 1282\r global warming potential (GWP) 1831\r ozone layer protection policies 271\r residual emissions 328\r uncertainties in emissions 222, 224, 225\r flywheel energy storage (FES) 655\r food-based dietary guidelines (FBDGs) 1294\r [...]"


id: 27ec1e5d7f0e433ed7531783d623c71e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 4216
content:
"[...] food loss and waste* 254, 528-529, 803-804, \r 825, 1285, 1290, 1294, 1750-1751\r food nexus approaches see water-energy-food \r nexus\r food security* 373-374, 795, 1279-1280, \r 1283-1285, 1284, 1302\r risk 1829\r food systems* 111-113, 802-804, 1250, \r 1279-1296, 1296-1297, 1322\r carbon footprint 520-521\r cross-sectoral implications 1313, 1749\r demand-side measures 528-529, 530\r diet and dietary shifts 254, 528-529, 530, 547\r emerging food technologies 1286, 1288-1289, \r 1290, 1321\r emissions 110, 1247, 1280-1285, 1281, 1282, \r 1283, 1284\r emissions trends and drivers 254\r GHG intensities of food commodities 1282-\r 1283, 1283, 1288-1289\r governance 1248, 1295-1296, 1296-1297\r impacts/risks/co-benefits of land occupation by \r mitigation options 1306-1307\r mitigation and sustainable development \r 373-374\r mitigation opportunities 112, 1285-1291, \r 1286-1287\r mitigation potential 530, 1247, 1279\r novel and future foods 1247, 1286, 1288-1289, \r 1294\r [...]"


id: 85fb8de3f88c9decf5e6246a13025b32
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 20714
content:
"F\r fairness* 170, 473\r accelerated mitigation 412\r carbon pricing 568, 569\r Nationally Determined Contributions (NDCs) \r 423, 473, 1468\r FAOSTAT emissions data 756, 758, 760, 764, 765\r Faster Innovation Case (FIC) 1201, 1202\r feasibility* 44, 144-147, 187, 188, 1407\r AFOLU mitigation 751, 753, 777, 789, 826\r assessment 146-147, 187, 1837-1838, 1837\r buildings sector 994, 1005-1006, 1006, 1017\r carbon dioxide capture and storage (CCS) 438\r carbon dioxide removal (CDR) 1272, 1273\r energy system mitigation 629, 630, 663, 664\r long-term goal compatible mitigation pathways \r 301\r low-carbon transition and pathways 378-382, \r 380\r mitigation scenarios 145, 147, 1876-1877, 1877\r model solvability 379\r rapid energy transitions 218-219\r renewable electricity generation 436\r socio-technical transitions 382\r urban mitigation 867, 911, 917, 918\r feasibility frontier 378-379\r feasible potential 774, 782, 803, 804\r feed-in tariffs 1013-1014, 1387, 1388, 1587, \r 1676, 1736\r [...]"


id: d91ee7f5d44c2d64b180e1c5055bac9
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 35493
content:
"[...] feedstocks 1164, 1185-1186, 1192, 1193, 1198\r biochar 789, 790\r for biofuels 1066, 1066, 1068, 1182\r for plastics 1194\r production 789, 790, 1183\r fertilisers 771, 772, 789, 794\r Fiji 1293, 1501\r final energy* 342, 691-692, 692\r buildings 251, 337, 342-343, 343, 513, 955, \r 957, 970-971\r industry 337, 345-346, 345, 1171, 1199, 1199, \r 1200, 1200, 1203\r projections 313-315, 314\r total final energy consumption (TFC) 622-623, \r 622\r transport 251, 337, 343-345, 344, 1108-1109, \r 1108\r finance see investment and finance\r finance flows 13, 47-48, 169, 462-463, 956, \r 1554-1555, 1562-1567, 1576-1579\r alignment (with Paris Agreement) 1549, 1610\r innovative financial products 1598, 1600\r near-term 1556\r subnational 1597\r financial institutions see banks and financial \r institutions\r financial markets and regulation 1586-1587\r financing gaps 159, 169, 1549, 1555, 1574-1579, \r 1580, 1610\r financing needs 1549, 1567-1574, 1597"


id: 6803e409f0322548e337ff6c07a24674
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 15568
content:
"coal use and phase-out 624-625, 625-626\r costs 168\r electricity production costs 647\r emissions 1182\r energy sector emissions 619-620, 619, 620\r from existing and planned infrastructure 16, \r 265-268, 266, 267, 1743-1744\r fossil fuel and industry related (CO2-FFI) 6, \r 6n, 7, 7, 8, 9, 10-11, 159, 159n, 160, \r 161, 163, 217, 218, 223, 225, 228, 229, \r 229, 230-231, 233\r fugitive emissions 28, 620, 647, 796\r future CO2 emissions 16, 219, 265-268, \r 266, 267\r residual CO2 emissions 268-269, 268\r energy return of investment (EROI) 647\r energy with CCS 24-25, 615, 646, 647, 648, \r 693, 699, 700, 1743\r energy without CCS 24-25\r enhanced recovery 642\r environmental impacts 647\r extraction costs 647\r fossil fuel-dependent countries 624-625, 1746, \r 1747, 1748, 1771\r fuel switching 1182\r hydrogen production 647\r infrastructure 219, 265-269, 615, 693, 697, 698, \r 1743-1744, 1743, 1771\r international cooperation 1505-1506, \r 1593-1594\r investment and finance 615, 694, 697, 1409, \r 1566-1567\r [...]"


id: c090c7a0d666e50a6bed3080c0bf3621
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 31175
content:
"[...] levelised costs of electricity (LCOE) 662\r long-term goal compatible mitigation pathways \r 299\r low-carbon energy transition 647, 698-700\r methane emissions and mitigation 646, 647\r net-zero energy systems 672-674\r phase-out 16, 624-625, 625-626, 647, 693, \r 699, 705, 1567, 1593-1594, 1742-1749, \r 1743, 1771\r international cooperation 1593-1594\r scenarios and pathways 309, 312, 313\r public support 648\r removal of subsidies 1387-1388\r resource rich countries 1769-1770\r resources and extraction 646-647, 698, 1394\r revenues 1746, 1747, 1748\r scenarios and pathways 267, 309, 312, 313, \r 323-324, 341, 438, 625-626, 698-700\r stranded assets 615, 647, 1744-1745, 1747\r subsidies 465-466, 629, 629, 648, 1359, 1383, \r 1387-1388, 1388, 1567\r substitution 751\r technology and innovation 647, 1655\r transport 251\r see also coal; stranded assets*\r ance 256, 432, 436, 438, 990, 995, 1090, 1373, \r 1503\r quently asked questions (FAQs)\r 1.1: What is climate change mitigation? 194\r [...]"


id: e76691dca94e31f9d275d2c84eda21f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 38010
content:
"global mean surface air temperature (GSAT)* \r 1880, 1890\r global mean temperature 316-318, 317\r global models 417, 418, 750, 752, 760-762, 761, \r 762-763\r global multiregion input-output (GMRIO) 239\r Global North 251, 457, 534, 914, 1296\r Global Roadmap scheme 769\r Global South\r buildings sector emissions 251\r climate change policies 1405\r electrification 900\r emissions embodied in trade 245\r energy efficiency 534\r investment and finance 1603\r transnational networks 914, 1296\r Global Stocktake 415, 693, 762, 762-763\r global temperature change potential (GTP) \r 226-228\r global transport energy models (GTEM) 1098-\r 1099, 1100, 1101, 1103, 1106, 1110-1111, \r 1853, 1854\r global value chains 1248, 1318-1319\r global warming*\r economic benefit of limiting to 2degC 37\r exceeding 1.5degC 14\r individual contribution to limit to 1.5degC 572\r likelihood of limiting 14-16, 18-20, 21, 21-22, \r 23-24\r limiting to 2degC 6-7, 14-16, 28, 1322, 1742\r limiting with system transformations 17-39, \r [...]"


id: abfadb9eed9df818addeac7a60c6866a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 27499
content:
"[...] 18-20, 21-23, 26-27\r projected outcomes 17-24, 18-20\r scenarios 21-23\r scenarios and pathways 316-318, 317, 325, \r 326, 327, 328, 329, 329, 330-332\r global warming levels (GWLs) 307, 307, \r 1881-1882\r global warming potential (GWP)* 6n, 217n, 222, \r 226-228, 319, 1089, 1830, 1831, 1833, 1833\r governance* 154, 190, 1729\r accelerating mitigation and shifting \r development pathways 461-462, 465\r accelerating sustainable transitions 1735-1736, \r 1767-1768, 1772\r actors and agency in public process 1373-1375\r adaptation and mitigation 468, 1404-1405\r AFOLU sector 773, 825, 828-829, 1750\r bioeconomy 1310-1311\r buildings sector 956, 1015-1016\r carbon dioxide removal (CDR) 1248, 1277-\r 1279, 1277-1278, 1488, 1495\r community climate action plans 1511\r critical minerals 1116-1117\r cross-sector social partnerships (CSSPs) \r 1510-1511\r cross-sectoral 1248, 1295-1296, 1296-1297\r demand-side measures/mitigation 521-525, \r 564\r developing countries 956, 1767\r and digitalisation 1654\r [...]"


id: d43f389f1b4a45c72d4d08ee2f9a0bd4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 34673
content:
"16.3: What is the role of international technology \r cooperation in addressing climate change? \r 1701\r 17.1: Will decarbonisation efforts slow or \r accelerate sustainable development \r transitions? 1772\r 17.2: What role do considerations of justice and \r inclusivity play in the transition towards \r sustainable development? 1772\r 17.3: How critical are the roles of institutions \r in accelerating the transition and what can \r governance enable? 1772\r Fridays for Future 1375, 1508, 1765\r frugal innovations 1648\r fuel poverty* 1001-1002, 1003\r fuels 1052, 1053\r alternative fuels 677-678, 679, 1064-1068, \r 1064, 1066, 1067\r ammonia 1052, 1068, 1094-1095, 1096\r carbon-based 677\r carbon taxes 270\r costs 1088, 1148\r diesel 1068, 1074, 1078, 1079, 1080\r emissions factors 1145-1146, 1145\r final energy demand per fuel 970-971, 971\r fuel efficiencies 1146-1147\r fuel switching 1188\r co-benefits for SDGs 1211\r industry scenario analysis 1203\r policy approaches and strategies 1213\r [...]"


id: 739da1d65fbfdea6468e5afd9c0a8545
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 17596
content:
"[...] policy packages for cooking fuels 569\r fuelwood harvest 770-771, 782\r household and cooking 548, 559, 567, 569, \r 622-623, 623-624, 629, 705, 1000-1001, \r 1003-1004\r hydrogen (and derivatives) 1053, 1184\r fuel cells 656, 1070-1071, 1079, 1088\r liquid hydrogen (LH2) 1088-1089\r shipping fuel 1094-1095, 1096\r methanol 1095\r mitigation potential 1094-1095, 1096\r natural gas 1065, 1082, 1095\r net-zero emission fuels 677-678, 679\r power to fuels (PtX) 656, 675, 1184\r regional variation in fuel type use 622-623\r sustainable aviation fuels (SAFs) 1087-1088\r synthetic fuels 1052, 1068, 1071, 1080, 1088, \r 1094\r traditional biomass 622-623, 623-624, 629, \r 644, 970-971, 972\r transport 1052, 1064-1073, 1075, 1080, 1081\r aviation 1087-1089, 1113, 1118-1119\r road and rail freight 1083, 1084-1085, \r 1085\r shipping 1094-1095, 1096, 1113, \r 1118-1119\r see also biofuels*; fossil fuels*; gas\r fugitive emissions (oil and natural gas \r systems)* 28, 620, 647, 796"


id: c89cd293e92ccd131302f521b31794e0
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 32610
content:
"G\r gap indicators 425-426\r see also emissions gap; implementation gap\r gas 646, 647-648\r energy sector emissions 247, 619-620, 620\r final energy demand per fuel 970-971, 971\r liquefied natural gas (LNG) 623, 647, 1065, \r 1080, 1095, 1098\r liquefied petroleum gas (LPG) 458, 548, 559, \r 569, 624, 629, 1005, 1399\r low-carbon transition 699, 699\r production and demand trends 622, 622\r replacing coal 624\r gasification 647, 657\r gender equity* 465, 507, 525-527, 1003-1004, \r 1609-1610, 1748\r general-purpose technologies (GPT) 1249-1250, \r 1314, 1321\r geoengineering 168, 1488\r geothermal energy* 648-649, 648\r buildings on-site energy generation 981\r costs and potential 648\r final energy demand per fuel 970-971, 971\r levelised costs of electricity (LCOE) 662\r synergies and trade-offs with SDGs 1761\r trends in electricity generation 627\r Germany\r accelerated mitigation pathways 436, 438, 440\r buildings mitigation potential 989, 990\r climate governance and institutions 1367\r climate laws 1363\r [...]"


id: a1e194d8af56a968c4f9a14e4b58cab3
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25708
content:
"[...] coal use and phase-out 626\r energy sector 436, 628\r energy system 1743\r energy transition policies 700\r industrial waste management 1180\r industry policy 1215, 1215-1216\r low emission strategies 433, 434\r net zero energy buildings 440\r net zero targets 432\r REDD+ 1503\r renewable electricity generation 437\r renewable energy policies 569\r solar power 557, 1387\r sufficiency 990, 995\r technological change 257\r transport 440, 1060\r urban green infrastructure 905\r urban population 870\r Ghana 828-829, 1746, 1755\r GHG Content Certifications 1219\r Global Carbon Budget (2020) 240-242, 241, 242, \r 243, 760\r Global Climate Action 158\r Global Climate Litigation Report: 2020 Status \r Review (UNEP 2020) 172\r global commons 156-157\r Global Energy Assessment (GEA) 1485\r global energy intensity 8\r Global Environment Facility (GEF) 1471, 1484\r global innovation systems (GIS) 1660-1661"


id: f418cbfc7bc74a582d99a9a334bf8553
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 40318
content:
"enabling shifting development pathways and \r accelerated mitigation 412\r energy system 700-701, 1504-1506, 1747\r food systems 1248, 1295-1296, 1296-1297\r framework laws 1361, 1363\r global energy governance 1504-1506\r integrated governance 1405, 1406\r international technology cooperation 1685-\r 1688, 1689\r and just transitions 1747\r land-based mitigation 1248\r land-related impacts of mitigation options \r 1303-1304\r local autonomy 912\r local governments 879-880, 1370, 1510-1511\r low-emission technology in developing countries \r 1685\r mega-regional trade agreements 1501\r national climate strategies 1363-1365\r networks 1378-1379\r participatory governance* 461-462, 525, 556, \r 564, 1304, 1406\r policy effectiveness 569\r political change 468\r political systems 1371-1372\r polycentric governance 1304\r positive feedbacks 522\r public-private partnerships (PPPs) 1509-1510\r renewable energy 1304\r solar radiation modification (SRM) 1493-1494, \r 1494-1495\r structural factors 1370-1373\r [...]"


id: 98c5ed58924e93386f3e390e6be996b1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 24095
content:
"[...] sub-national 1367\r sub-national actors 1378-1381\r sub-national institution building 1369-1370\r sustainability transitions 1767-1768\r sustainable development and land-use 1750\r technological change 1691, 1696\r transnational governance 914\r urban systems 879-880, 896, 898, 911-917\r see also climate governance*; multilevel \r governance*\r Gradual Strengthening (IMP-GS) 309-313, \r 310-312, 334, 334, 357, 1200, 1200, 1201, \r 1877-1879\r characteristics 175, 331, 338\r cross-cutting implications 893\r level of ambition and scenario features \r 174-175, 174\r physical and transition risk 1585\r quantitative scenario selection 1879\r storyline 175, 1878\r warming levels 307, 309, 331\r rasslands 783-785, 788-789\r rassroots innovations 1648\r reen bonds 915-916, 1484-1485, 1550, 1579, \r 1598-1600, 1605, 1606\r reen certificates 1004, 1013, 1677, 1680\r Green Climate Fund (GCF)* 158, 169, 1471, 1484\r 1487, 1503\r reen economy 177-178\r reen growth 177\r reen industrialisation 1754"


id: 19557a07115bc6a35304b23e80a3fc37
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 1672
content:
"green infrastructure* 1403, 1404\r and active transport 908\r adaptation co-benefits 903, 903-904, 905\r co-benefits 875, 876, 877, 878\r economic co-benefits 876\r green roofs, green walls and greenways \r 907-908\r SDG linkages 903, 903-904\r urban trees and forests 905, 905-907\r green labelling see standards and labelling\r Green New Deals 474, 1408-1409\r green paradox 1319-1320\r green public procurement 1213, 1294, 1392, \r 1673\r green quantitative easing (QE) 1586\r green stimulus packages 1408-1409\r greenhouse gas emission metric* 6n, 63-64, \r 222, 225-226, 226-228, 319, 417, 1824, 1825, \r 1830, 1831\r greenhouse gas neutrality* 329, 1363\r greenhouse gases (GHGs)* 217-219, 221-238\r AFOLU emissions 753, 771, 799, 821-822\r AFOLU emissions and removals 755-766, 756, \r 757, 758, 759, 761, 762-763, 764, 765\r AFOLU regional emissions 806-807, 806\r AFOLU total net GHG flux 756-758, 756, 757\r atmospheric lifetime 1831\r buildings emissions 955, 957, 963-967, \r 963-964, 966, 1018\r [...]"


id: 427f1cf161e010d90081545e315f2d52
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 8892
content:
"[...] climate legislation and emissions 1362, 1363, \r 1364\r contribution to warming 225, 226, 226-228\r COVID-19 pandemic and emissions 511-512\r current policies and emissions 219, 298\r defining 220n\r demand for GHG intensive products 513\r development pathways and emissions 452-453\r digitalisation, impact on emissions 1652-1654\r economic development and emissions 178-180, \r 179\r emission pathways 17, 18-20, 26-27, 298\r emissions datasets 1831-1837, 1832-1833, \r 1834-1836\r emissions growth rates 6, 8\r emissions inventories 221-222\r emissions modelling methods 1849\r energy sector emissions 28-29, 620, 620, 685\r FAQs 194\r food system emissions 1280-1285, 1281, 1282, \r 1283, 1284\r global emissions 863, 885\r buildings 955, 957, 963, 965\r regional contributions to 9, 10-11\r transport 1055-1056, 1055\r trends 153, 155, 159, 160, 228-232, 229, \r 230, 231, 274\r global warming potential (GWP) 1831\r historical emissions 231-232, 231\r household emissions 9, 531-532, 532\r [...]"


id: a12679ae562f16efadff4aaa9548b1f6
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25576
content:
"[...] hydropower emissions 671, 1303\r Illustrative Mitigation Pathways (IMPs) 26, 811\r industrial emissions 1163, 1165-1176, 1166, \r 1167, 1168, 1170, 1173, 1174, 1175"


id: 66c6ebd90e75ae8d384a7e348094c429
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 15349
content:
"inventories 65, 329, 750, 752, 756, 758\r land-atmospheric GHG fluxes 754, 755\r lifecycle GHG emissions 1193\r buses and passenger rail 1079-1080, 1081\r light-duty vehicles (LDVs) 1074, 1075, 1076, \r 1077\r long-term emissions savings 1178\r mitigation policies and emissions 1479-1481\r Nationally Determined Contributions (NDCs) \r 416\r net emissions 6n\r non-CO2 warming contribution 349-350, 350\r per capita emissions 863, 885, 885, 1283-1285, \r 1284\r production-based emissions 9, 10-11\r projected emissions 14-17, 14, 15-16\r reducing energy sector emissions 28-29\r regional emissions 806-807, 806, 863, 885, 886\r contributions to global emissions 9, 10-11\r transport 1055-1056, 1055\r trends 159-162, 161, 233-236, 234-235, \r 236, 238\r residential energy emissions 967-968\r sectoral emissions 8\r sectoral emissions trends 236-237, 237, 238\r sectoral estimates for emission reduction \r potentials 1258\r short-term emissions savings 1178\r sources 755, 1831-1837, 1832-1833, \r 1834-1836\r [...]"


id: 3f87143373114d3dbf1e0b990b0775bb
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 8365
content:
"[...] territorial emissions 167, 221-238, 239, \r 1283-1285, 1284\r uncertainties with emissions 222-226, 229\r urban emissions 885, 885\r forecasts 890-894, 890, 891, 892\r reduction 897-899\r transport 1058-1059, 1058, 1059\r trends 881, 884-886, 887\r urbanisation and emissions 887\r US agricultural emissions 816\r well-being metrics and emissions 512-514\r see also specific gases\r grey infrastructure* 878\r gross domestic product (GDP)* 1562, 1562\r and accelerated mitigation 411\r development pathways and emissions 452\r energy sector emissions 622\r impact of mitigation 442-445, 443, 444\r impact on climate finance 1557\r in mitigation pathways 359\r projections 313, 314\r scenarios and pathways 37, 300, 308, 309\r gross domestic product (GDP)\r decoupling and 242-244, 242, 243\r emissions trends and drivers 217, 245-246, \r 247, 251\r gross-fixed capital formation (GFCF) 1562, 1563\r gross national income (GNI) 868\r ground-based albedo modifications (GBAM) \r 1489, 1490, 1492\r groundwater 1301, 1754\r [...]"


id: 86027696b5d6b713b75898776b66f75a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 20718
content:
"pumped hydroelectric storage (PHS) 654\r synergies and trade-offs with SDGs 1761\r trends in electricity generation 627\r I\r Iceland 648-649, 1501\r ideas, values and beliefs 170, 182-183, 507, 548, \r 661-662, 1372-1373, 1737, 1765, 1766\r IEA Sustainable Development Scenario 1743\r Illustrative Mitigation Pathways (IMPs) 24-25, \r 26-27, 77-78, 174-176, 174, 175, 298, 302-\r 303, 303, 309-313, 310-312, 1877-1879, 1879\r AFOLU sector 811-812, 811\r bioenergy 811, 812\r building sector 334, 337\r CDR deployment 1264, 1264\r cross-cutting implications 893, 894\r demand-/supply-side mitigation 336, 337\r development pathways and mitigative capacity \r 453\r emissions 311-312, 315\r and energy 338\r reductions indicators 340\r and warming 330-332\r energy systems 312, 333-334, 333, 334, 337, \r 338, 617-618, 689-691, 1200-1201\r global warming levels 309, 330-332\r industry 334, 337, 1200-1201, 1200\r mitigation strategies 309, 312, 332-334, 334\r net zero emissions 334, 334\r [...]"


id: 4281c73de3e1ab2927885a9dee0e6b3b
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 8894
content:
"[...] physical and transition risk 1584-1585, 1585\r reference pathways see Current Policies (CurPol); \r Moderate Action (ModAct)\r storylines/narratives 309, 1878, 1878\r transport sector 334, 337, 344-345, 1109-1110, \r 1110-1111\r urban areas 893, 894\r vetting criteria 1883-1884, 1883\r see also specific IMPs\r illustrative pathways (IPs) 175, 175, 303, 309, \r 310, 1585, 1585, 1877-1878, 1878, 1879\r see also Current Policies (CurPol); Illustrative \r Mitigation Pathways (IMPs); Moderate \r Action (ModAct)\r IMAGE-Lifestyle-Renewable (LiRE) 964-965, \r 965-967, 968-974\r impacts* (of climate change) 157, 525-526, \r 1207\r avoided along mitigation pathways 365-367, \r 370, 371, 373, 374, 375, 376, 377, 378\r avoided in long-term mitigation pathways \r 87-88, 365-367\r on buildings 996-998\r economic benefits from avoiding 87-88, \r 365-367, 367, 369\r on ecosystems 826\r on electricity system vulnerability 670\r on energy consumption 669, 997\r on energy supply 666-668\r [...]"


id: c5e86347e100c2bf2c1ac25dfe40ec60
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 32128
content:
"habitat conservation 1497\r halocarbons* 955, 963, 1496, 1831\r harmonisation 1875, 1879, 1889\r hazard 1828, 1829\r health 513\r and air pollution 233, 368, 376-377, 1002, \r 1755-1756\r climate change impacts 376\r co-benefits model assessment 1741-1742\r co-benefits of urban mitigation 873, 875, 898, \r 905, 908, 1755-1756\r COVID-19 pandemic 925-926\r and diet 802-803, 1279-1280, 1284-1285, \r 1284, 1292-1295\r economic quantification of co-benefit 368\r energy/fuel poverty 1001-1002\r impacts of building mitigations 1000-1002\r impacts of solar radiation modification (SRM) \r 1491-1492\r indoor environmental quality 1001-1002\r lack of access to clean energy 1000-1001, 1001\r mitigation pathways and sustainable \r development 375-377, 376\r policy instruments 1292-1295\r regional differences 1284-1285, 1284\r heat demand 650-651, 899, 1194, 1206-1207\r heat policy instruments 1382\r heat production 1181\r heat pumps 257, 259, 974, 981, 995, 1181\r heating and cooling networks 650, 898-899, \r 1206-1207\r [...]"


id: 59c561f8555969850a909477af565107
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 13033
content:
"[...] heating and cooling systems 650, 683, 974-975\r heating emissions 513\r heavy-duty vehicles (HDVs) 1056, 1070, 1082, \r 1083, 1084-1086, 1085, 1120\r hindcasting 1870n\r historic cumulative emissions 6-7, 9, 233, 235, \r 239\r Historical Index of Human Development (HIHD) \r 178, 179\r holistic planning 1769-1770\r household air pollution 548\r see also indoor air quality\r household carbon footprint* 260-265, 466, \r 520-521, 979-981, 980, 1561, 1747\r household income 520\r housing 466-467, 543\r see also buildings\r human behaviour* 546-549\r behavioural contagion 556\r buildings mitigation options 983\r changing preferences 513\r collective 513\r habits 1766\r interventions 506, 548-549, 549-554\r lifestyle, energy demand and emissions 219, \r 260-265, 983\r social influencers and thought leaders 506\r social norms 555-556\r willingness/reasons to adopt mitigation \r solutions 984, 985-988, 986"


id: 3c35e98317c0c9f457e3baf617dd993c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 7785
content:
"p\r human rights* 1464\r human systems* 365, 1490, 1491\r hybrid approaches 417\r hybrid energy storage (HES) systems 1070\r hydro-climate 1751-1752, 1753\r hydrochlorofluorocarbons (HCFCs) 221, 224, \r 229, 1832\r hydrofluorocarbons (HFCs) 439, 1832\r atmospheric lifetime 1831\r emissions 221, 224, 229, 1496\r emissions reduction policies 1390\r global warming potential (GWP) 1831\r ozone layer protection policies 271\r hydrogen 91-92, 657-660, 1188\r accelerated mitigation pathways 441\r ammonia production 1184, 1192\r biomass-based 645\r blue 657, 679\r costs 1080\r cross-sectoral mitigation 1314, 1315-1316\r energy carriers 658, 972\r final energy demand per fuel 970-971\r fuel cells 656, 1070-1071, 1079, 1088\r green 657, 679\r hydrogen-based fuels 1184\r in industry 1183-1184, 1184, 1189, 1190, 1192, \r 1200-1201, 1203\r infrastructure 1073, 1073\r liquid hydrogen (LH2) aviation fuel 1088-1089\r net-zero energy systems 677-678, 679, 684\r production 647, 656, 657-658, 657, 1184, 1315\r costs 645, 677-678, 679\r [...]"


id: 17d8a176771458d3b41d59a1ef49e9e5
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 1400
content:
"[...] emissions 1076, 1080\r technologies 679\r reversible hydrogen fuel cells (RHFCs) 656\r scenarios and pathways 342, 342, 1200-1201, \r 1203\r storage 659-660\r trade 684\r transporting 658-659, 679\r value chain 659\r hydrogen economy 167, 679, 1184\r hydrogen fuel cell vehicles (HFCVs) 1070-1071, \r 1073, 1075, 1076, 1077, 1079\r buses and passenger rail 1080, 1081, 1082\r emissions 1075, 1076, 1081\r freight trucks and rail 1082, 1083, 1084-1085, \r 1085\r fuel cell technologies 1070-1071, 1079\r hydrogen infrastructure 1073\r lifecycle costs (LCCs) 1078, 1079, 1080, 1082\r hydrological cycle 1301\r hydropower* 638-639, 638, 1752, 1758\r climate change impacts 665, 666-667\r costs 639, 662\r energy storage 628, 639\r environmental and societal impacts 639\r impact on climate 671\r land occupation, impacts and risks 1303, 1304\r levelised costs of electricity (LCOE) 639, 662\r public support 639"


id: 8b741d1ed2cdc89b004696539b7edbe4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 21697
content:
"losses and damages 1562\r on mitigation potential 335\r on peatlands 785\r on transport sector 1057, 1759\r on urban poor 876\r on urban systems 876, 877-878\r on water resources 1751-1753\r implementation gap 14, 14n, 358, 411, 412, 414, \r 422-423\r IN4Climate NRW 1215-1216\r income\r and consumption-based emissions 520-521\r and emissions reductions 505-506\r emissions trends and drivers 251, 254, 260, \r 261-262, 262\r and energy demand 983\r and energy use 516-517, 516\r inequality 264-265, 372, 514, 517, 520-521, \r 524, 1746-1747\r and mitigation 661-662\r projections 313\r and transport choices 1059-1060\r and urbanisation 868, 868, 887\r income-based emission (IBE) 239\r incumbent industries 170\r India\r accelerated mitigation pathways 435, 437, 438, \r 439, 440, 441\r agricultural sector mitigation scenarios 799\r ASI behaviour 548\r carbon dioxide capture and storage (CCS) 438\r climate governance and institutions 1366-1367\r coal use and phase-out 625, 626\r cooking energy/technology 559, 569\r [...]"


id: 1c1c12fe8c52472e7f28eb69ffbc1dbd
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 2125
content:
"[...] decoupling 244\r Deep Decarbonisation Pathways Project (DDPP) \r 1740\r development pathways and emissions 452, 453\r diet 254\r economic growth 247\r electrification 705\r emissions\r food system emissions 803\r household emissions 262\r non-CO2 emissions 1390\r transport emissions 1101\r emissions trends and drivers 247, 1481\r energy intensity 1747\r energy-related CO2 emission pathways 434\r energy sector 437, 439\r energy use 517, 623\r EV uptake 567-568\r geologic CO2 storage potential 641\r industry 441, 1176\r inequality 517\r local capital markets 1606\r low emission strategies 434\r LPG use for cooking fuel 629\r manufacturing PV 1747-1748\r mining and deforestation 770\r mitigation and adaptation financing 871\r national development plans 452, 453\r 1465"


id: 64b310844ec1f629fbc234568b65444f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14998
content:
"Paris Agreement 1462-1463, 1465\r renewable energy support measures 1500\r retirement of fossil fuel power plants 1743-\r 1744\r services for well-being 515\r solar energy 630, 1505\r standards and labelling programme 1662, \r 1662-1663\r sustainable water management 1754\r technology transfer and cooperation 1502, 1685\r transport 440, 542, 558-559, 1060, 1101, 1103, \r 1104, 1117, 1766\r urban emissions mitigation 875\r urban land expansion 888\r urban land use trends 884\r wind energy 636\r indigenous knowledge* 526, 1016, 1697-1698\r indigenous peoples and groups 817, 1374-1375\r indigenous resurgence 525\r indirect drivers 767, 773\r indirect emissions* 1836-1837\r buildings sector 250, 513, 955, 957, 963, 991, \r 995\r carbon dioxide (CO2) 957, 963, 1836-1837\r electricity and heat generation 248\r industry 1172-1174, 1173, 1174, 1175\r transport 251, 1055-1056, 1055\r urban and national scale 886\r urban/rural households 263\r individual actions 572, 1765\r Indonesia\r coal use and phase-out 625, 626\r [...]"


id: 3de7c286a809a1564f8658a84231c6f0
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 8059
content:
"[...] end-use technologies transitions 256\r energy-related CO2 emission pathways 434\r fire regimes 770\r green-city initiatives 1756\r household emissions 260, 262\r land management 1750\r LPG use for cooking fuel 629\r national development plans 451\r net zero targets 1465\r Paris Agreement 1465\r peatland conversion 785\r REDD+ 1503, 1504\r urban emissions mitigation 875\r zero deforestation pledges 272\r indoor air quality 705, 875, 960, 1002\r industrial clusters 1207, 1682-1683\r industrial parks 1179-1180\r industrial revolution* 179\r industrial symbiosis 1179-1180, 1207\r industrialised (developed*) countries 697, 1207, \r 1676, 1687-1688\r see also Developed Countries/developed \r countries*\r industry 104-107, 1161-1224\r abatement costs 1190, 1191, 1196, 1197-1198\r accelerated mitigation pathways 435, 441\r accelerating mitigation 1410\r accelerating transition, and sustainable \r development 1754-1755\r adaptation and mitigation 1758, 1771"


id: 8a096cdc307259cf103aba006ffd8d87
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 21459
content:
"aluminium and other non-ferrous metals 1181, \r 1194-1195, 1197, 1218, 1220\r carbon sources 1185-1186\r CCS and CCU 1185-1186\r cement and concrete 430, 902, 1164, 1190-\r 1191, 1197, 1204, 1205, 1208\r chemical 1179, 1181, 1183, 1191-1193, 1194, \r 1197, 1204, 1205\r climate change and adaptation 1207\r climate policy and carbon pricing 1164, \r 1209-1210, 1213-1214, 1223\r co-benefits for SDGs 1210-1211, 1754\r construction 901-902\r costing analysis 1222\r costs and potentials 38-39, 1163-1164, \r 1189-1196, 1197-1198, 1202, 1205, 1206, \r 1252, 1253, 1256, 1257, 1257, 1258, 1258, \r 1260\r COVID-19 pandemic and emissions 230\r cross-sectoral implications 1188-1189, \r 1206-1207, 1216, 1313\r deep decarbonisation 1164, 1180, 1187, \r 1195-1196, 1197-1198, 1206, 1222-1223\r and deforestation 768, 769-770\r demand for electricity 1183\r demand for materials 1176-1177, 1177\r demand-side measures 530\r development patterns 1175-1176\r digitalisation 1652-1653\r electrification 441, 677, 694, 1163, 1182-1183, \r [...]"


id: 4efec2f050afb06a50e2915812a736a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 11185
content:
"[...] 1187, 1191, 1192, 1194, 1203, 1207, 1211, \r 1213\r electrification and fuel switching 1182-1184\r emissions 8, 66, 1165-1167\r CO2 emissions 1189, 1190, 1192, 1193, \r 1194, 1199, 1200, 1201n, 1208\r direct emissions 1173, 1174, 1175, 1189, \r 1190, 1191, 1195\r energy sector CO2 emissions 620, 620\r food system GHG emissions 1281, 1281, \r 1282\r GHG emissions trends 236-237, 237, 238\r indirect emissions 1172-1174, 1173, 1174, \r 1175\r net-zero CO2 emissions 29, 1163, 1203\r net-zero greenhouse gas emissions 29, \r 1166, 1167, 1184, 1196, 1754\r non-CO2 emissions 1201n\r emissions growth 218\r emissions-intensive and trade-exposed (EITE) \r 1213\r emissions mitigation policies 1390\r emissions sources 1165-1166, 1173, 1174, \r 1832\r methane (CH4) 1832, 1833, 1834-1836\r emissions trends and drivers 246, 248-250, 249, \r 902, 1163, 1165-1176, 1166, 1167, 1168, \r 1170, 1173, 1174, 1175, 1201, 1207-1209\r energy use 1194, 1200-1201, 1200\r energy use and efficiency 1171-1172\r [...]"


id: 4163e65fa3d47d932e4916424090a312
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 8690
content:
"infilling 1879-1880, 1889\r informal economy 564-565, 870, 910\r informal sector 925, 1694\r informal settlements 864-865, 884\r information and communication technology \r (ICT) 652, 924-925, 1062, 1652, 1760\r information initiatives 1750-1751\r information technology (IT) 168, 440, 1730-\r 1731, 1735\r informative policy instruments 1294-1295\r infrastructure* 919-925\r access to services 517-518\r agriculture 455\r barrier to innovation 1767\r blue infrastructure* 875, 876, 877, 878, \r 902-903, 903-904, 920\r and climate change 1057\r climate governance 1405\r demand-side mitigation and transformative \r change 559, 560\r design and use 530\r development 768, 769\r district energy networks 981\r energy systems 693, 697\r fossil fuel infrastructure 219, 265-269, 615, \r 693, 697, 698, 1743-1744, 1743, 1771\r grey infrastructure* 878\r hydrogen 1073\r industry 1207-1209, 1222\r investment 467, 559, 1392, 1605\r lock-in related to 265, 268\r policies 565-566\r provision and investment 559\r [...]"


id: 5d4b821e860f8b5ce4a7047a5c51be7e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 13690
content:
"[...] refuelling and EV charging 1071-1073\r road construction 768, 769\r stock evolution 265\r transport 768, 769, 1057, 1058-1059, \r 1071-1073\r urban 268, 378, 863-864, 878, 890, 1755-1756\r urban energy systems 899-901\r urban infrastructure gap 921\r waste and waste management 909-910\r see also green infrastructure*\r innovation 136-138, 464\r demand-side innovation 1740\r demand-side transitions 561\r disruptive innovation 1057-1058\r frugal innovations 1648\r global innovation systems (GIS) 1660-1661\r grassroots innovations 1648, 1697\r green innovations 1690\r inclusive innovation 1696\r mitigation potential 505\r model assessment 1740\r radical 561\r recombinant innovations 1651\r responsible innovation 1696\r service provisioning systems 505\r social innovation 170-171, 1647, 1688, 1690, \r 1696, 1766-1767\r and sustainable development 1696\r sustainable innovations 1690\r and sustainable transitions 1735"


id: eb6dccdfc9371f7d2365298836b5f4fe
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 38772
content:
"policy coherence and integration 1221-\r 1222\r procurement 1217-1219\r research, development, and innovation (RDI) \r 1216-1217\r roles of different actors 1222, 1222-1223\r standards and codes 1219\r transition planning and strategies \r 1214-1215\r pulp and paper 1164, 1195-1196, 1197\r regional supply chains 1175-1176\r renewable resources distribution 1164\r residual fossil fuel emissions 268-269, 268\r resource extraction 902\r roles of different actors 1188, 1222-1223\r scenario analysis 1198-1206\r scenarios and pathways 29, 345-346, 345, 1892\r sector-specific mitigation 1189-1196, \r 1197-1198\r service delivery efficiency 533-535, 533\r small and medium enterprises (SMEs) 1179, \r 1180\r societal pressure on 1207\r steel 533, 902, 1164, 1180, 1181, 1181, 1183, \r 1189-1190, 1197, 1204, 1204, 1205, \r 1208-1209\r sub-national and non-state actors/actions \r 427-428, 429, 430\r supply chains 1056, 1175-1176, 1178, 1206\r and sustainable development 1210-1211, 1224, \r 1754-1755\r [...]"


id: 5f38f14ebafdac9678f1df61c44d0710
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14060
content:
"[...] synergies and trade-offs with SDGs 41-42, \r 1224, 1729-1730, 1754-1755, 1762, 1763, \r 1764, 1770, 1771\r technological developments 1163-1164, \r 1176-1187, 1192, 1195\r technology standards 1389\r transformation pathways 1198-1206\r transformational change 1203-1204\r transport emissions 1056\r waste and waste management 1169-1170, \r 1179, 1180, 1186, 1189, 1192, 1210\r working conditions 1755\r nequality* 43, 162, 163, 517, 517-518, 566\r carbon inequality 264\r climate change impacts 369\r development pathways and emissions 453\r digital divide 1654\r economic 1741\r and emissions 254-255, 273, 453\r energy use 1747\r gender, race and intersectionality 525-527\r global regional distribution of costs and benefits \r 1747-1748\r household consumption and behavioural choices \r 264-265\r income inequality 264-265, 372, 514, 517, \r 520-521, 524, 1746-1747\r inequity within countries 1561\r pathways and scenarios 372-373\r structural 1745\r technological change and governance 1696\r nertia 351, 472, 696"


id: a2baae370c0968e8b2927c6ddfba89f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25846
content:
"feedstocks and fuels 677, 1164, 1183, 1185-\r 1186, 1192, 1193, 1194, 1195, 1198\r final energy 345-346, 345\r forestry 1195\r hydrogen in 1183-1184, 1184, 1189, 1190, \r 1192, 1200-1201, 1203\r infrastructure 1207-1209, 1208, 1222\r international cooperation 1213, 1514\r international trade and supply chains 1056, \r 1176, 1178, 1206\r investment 1206, 1208, 1216-1217\r investment and finance 1206, 1208, 1216-\r 1217, 1569\r iron 1197\r knowledge gaps 1223\r light industry 1164, 1194\r low-GHG materials and products 1217, \r 1219-1220\r manufacturing 1164, 1179, 1194, 1197\r mining 769-770\r mitigation pathways 1188, 1198-1206\r mitigation potential 530, 1189-1196\r mitigation strategies and options 1163, 1167, \r 1176-1187, 1188, 1199, 1204, 1205, \r 1209-1210, 1212, 1223, 1224\r carbon dioxide capture and storage (CCS) \r 1185-1186, 1187, 1189, 1190, 1191, \r 1193, 1195, 1211, 1213\r carbon dioxide capture and utilisation (CCU) \r 1185-1186, 1187, 1189, 1192, 1192, \r 1193, 1195-1196, 1211, 1213\r [...]"


id: 9a0f98d294d926026ddd045bb0597ba9
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 24341
content:
"[...] circular economy 1179-1180, 1187, \r 1192-1193, 1192, 1210, 1213\r electrification 1163, 1182-1183, 1187, \r 1191, 1192, 1194, 1211, 1213\r energy efficiency 1180-1182, 1181, 1187, \r 1191, 1211, 1213\r fuel switching 1182-1184, 1186, 1187, \r 1191, 1192, 1211, 1213\r interactions and integration 1186-1187, \r 1188-1189, 1206-1207\r long-term mitigation options 1260\r material demand reductions 1176-1177, \r 1210\r material efficiency (ME) 1168-1171, 1177-\r 1179, 1178, 1190, 1191, 1210, 1213\r sector-specific 1189-1196, 1197-1198\r synthetic fuels 1184, 1186, 1189\r models/modelling methods 1854-1855, 1854, \r 1892\r net-zero energy systems 680, 683\r plastics 1163, 1179, 1186, 1192, 1194, 1204\r policies 1382\r policy approaches 1164, 1209-1210, 1211-\r 1223, 1212, 1224\r circular economy policy 1220-1221\r extended producer responsibility (EPR) 1220\r financial incentives 1219-1220\r GHG Content Certifications 1219\r GHG prices and GHG markets 1213-1214\r knowledge and capacity 1221\r [...]"


id: 136f37f95aaf90cfddb755abb6b0a1a5
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 625
content:
"traditional innovations 1690\r transition phases 561-562\r see also technological innovations; technology \r and innovation\r innovation policy instruments 1644, 1647, 1670, \r 1671\r demand-pull (market-pull) instruments 1650, \r 1669, 1670, 1675-1677\r distributional impacts 1672, 1674, 1676, 1677, \r 1678, 1679-1680\r economic and financial instruments 1670, \r 1672-1676, 1674-1675\r efficiency regulations 1677-1678\r impact on competitiveness 1672, 1673-1674, \r 1675-1677, 1678, 1679-1680, 1682-1683\r impact on innovation 1672-1673, 1672, \r 1675-1679, 1680-1683, 1680\r regulatory instruments 1677-1678, 1679\r soft instruments 1678-1680\r technology-push instruments 1650, 1669, 1670, \r 1672-1675\r demonstration funding schemes 1675\r public procurement 1669, 1672-1674, 1673\r public R&D funding 1644, 1669, 1672, 1673, \r 1674-1675, 1674-1675\r R&D incentives 1672\r innovation systems 1644, 1645, 1660-1661, \r 1660, 1669, 1688, 1699\r institutional barriers and opportunities 825\r [...]"


id: 5370e2e90c6a0c10be8e5dbe6e777e33
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 11957
content:
"[...] institutional capacity* 825, 917, 1368, 1685\r accelerated mitigation and shifting development \r pathways 412, 461-462, 465\r adaptation and mitigation 468\r buildings sector 956, 1016\r and climate finance flows 1578\r developing countries 956\r and energy sector policy 628\r intellectual property rights (IPR) regimes \r 1644-1645\r sustainability transitions 1767-1768\r urban planning 898\r institutional change 681-682, 682\r institutional factors 171-173, 186-187\r accelerating sustainable transitions 1735-1736, \r 1767-1768, 1772\r international cooperation 172-173\r legal framework and institutions 172\r low-carbon societal transition 153\r policy impacts 171-172\r institutional requirements 1383-1384, 1383\r institutional strength 1460, 1460, 1475, 1478, \r 1513, 1515\r institutions* 46, 172, 1360-1361, 1411\r addressing climate governance challenges \r 1367-1368\r AFOLU emissions drivers 773\r energy sector international cooperation 1505\r financial 1582-1583, 1584\r [...]"


id: 3a2d36be8e1aa44eac6d0bf35b1d2b4b
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 7441
content:
"[...] forms of climate institutions 1365-1367\r international cooperation 1499\r national 1365-1368, 1366\r policy oversight 1221\r role in industrial decarbonisation 1222-1223"


id: 1d5f1a61f12a40dd025825ee58738857
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 2351
content:
"sub-national institution building 1369-1370\r technology and innovation 1669, 1671\r transformative changes 411, 412\r urban systems and other settlements 911-917\r ulation 439\r urance 1558, 1581-1582, 1594-1596\r egrated assessment* 153-154\r egrated assessment models (IAMs)* \r 173-174, 180-181, 385, 1844, 1857-1862\r AFOLU CO2 fluxes 761-762, 761, 762-763\r AFOLU marginal abatement costs 807-809\r AFOLU mitigation 346-347\r applications 1853-1854\r bioenergy and BECCS 801-802\r bioenergy deployment 341\r building sector models 1850-1851, 1850-1851\r CDR deployment 305, 1264-1265, 1264\r climate-related financial risk 1583\r climate system component 1859\r comparison with national GHG inventories 65, \r 299\r cost-benefit analysis IAMs 366-367, 367\r cost-benefit IAMs 1858, 1875\r costs and potentials 1257-1260, 1258, 1259\r data gaps 384\r demand-side measures 535-538\r energy-economy component 1858\r energy technologies 1658, 1659\r energy-water-land nexus approach 1859\r feasibility 382\r [...]"


id: 94c39f7eb25c0fc9a44f3f91e2998fe7
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 23382
content:
"[...] fuel and technology shifts 1108-1109, 1108\r global IAMs 1857\r industry sector 346, 1854-1855\r investment and finance 1569-1570\r land-based mitigation 774-775, 777, 801-802, \r 805-812\r land system component 1855, 1858-1859\r limitations 1861-1862\r NDCs and SDGs 1739\r policy analysis 1859-1861\r process-based IAMs 1857, 1858, 1875\r residual fossil fuel emissions 268-269, 268\r role of carbon dioxide removal (CDR) 1267, \r 1268, 1273, 1274, 1275-1276\r role of hydrogen 1315-1316\r role of land-based mitigation 1298\r sectoral analysis 336, 337\r socio-technical inertia 351\r solar radiation modification (SRM) 1491-1492\r sustainable development impacts 1859, 1860\r sustainable development pathways 1740-1741\r technological change 259\r technology assumptions 1875-1876\r transitions 1729\r transitions to low-carbon pathways 1742\r transport 1098-1099, 1100, 1101, 1110-1111\r transport demand 1103-1104\r transport energy and carbon efficiency 1106, \r 1107\r transport modal trends 1105, 1106\r [...]"


id: e29f5f6c567a5c78755d231bd142e00c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 37173
content:
"integrated spatial planning 864, 865, 896-899, \r 909, 911, 920, 921, 1304\r integrative land-use models (ILMs) 805-806\r intellectual property rights (IPR) 1644-1645, \r 1657, 1681-1682, 1687-1688, 1699\r Intended Nationally Determined Contributions \r (INDCs) 415, 416, 1574\r inter-generational equity* 1748\r interdependence 182-183\r Intergovernmental Science-Policy Platform on \r Biodiversity and Ecosystem Services (IPBES) \r 866\r international agreements 158-159, 773, 1455, \r 1460-1463, 1482, 1496-1497, 1499-1508, \r 1513, 1515\r see also Kyoto Protocol; Paris Agreement; United \r Nations Framework Convention on Climate \r Change (UNFCCC)*\r international assessments 1732-1734\r International Civil Aviation Organization (ICAO) \r 1506\r international cooperation 48, 132-133, 156-157, \r 172-173, 1451-1517\r accelerated action pathways 356-358\r accelerating mitigation 471, 1410\r accelerating transition in sustainable \r development context 1732-1734, 1735, \r 1736\r adaptation 1497-1498, 1686\r [...]"


id: 5eba4631bb9cbcd417656950b569a4ad
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 13953
content:
"[...] adaptation and mitigation 1404-1405, \r 1497-1498\r administrative capacity 1460\r barriers to mitigation 1457\r bilateral cooperation 1483, 1487, 1488\r building blocks 1459, 1488, 1495\r capacity building 1473-1474, 1487-1488, \r 1502, 1505, 1686, 1687\r changing nature of 1513\r civil society groups and social movements \r 1508-1509\r climate change and sustainable development \r 1732-1734\r climate clubs 356-358, 1453, 1458-1459, 1458, \r 1495, 1501, 1505\r cooperative approaches 1470-1471\r critical minerals 1116-1117\r development pathways and accelerated \r mitigation 471\r early warning systems 1686\r effect of solar radiation modification (SRM) \r 1492\r effectiveness 1475-1478, 1479-1481, 1513, \r 1514-1516, 1515\r effectiveness assessment criteria 1459-1460, \r 1460, 1515\r distributive outcomes 1460, 1460, 1477, \r 1515\r economic performance 1459, 1460, \r 1477-1478, 1515\r environmental outcomes 1459, 1460, 1515\r institutional strength 1460, 1460, 1475, \r 1478, 1513, 1515"


id: 6b9c75c77ab9cfe3471f22332e83b8cb
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 16236
content:
"alignment (with Paris Agreement) 1549, \r 1553-1554, 1555-1556, 1560, 1579-1580, \r 1586, 1610\r barriers 1574\r blended finance 1560, 1588, 1603, 1608\r bonds 1563, 1606\r gender bonds 1609\r green bonds 915-916, 1484-1485, 1550, \r 1579, 1598-1600, 1605, 1606\r carbon dioxide removal (CDR) 1278\r carbon finance/pricing instruments 465-467, \r 1012\r climate investment trap 1569\r Climate Policy Relevant Sectors (CPRS) 1582\r climate-related financial risk 169, 1549-1550, \r 1555-1556, 1580-1585, 1590\r assessments 1567, 1580\r risk pooling and insurance 1594-1596\r collective actions 1561\r for conditional NDCs 423\r COVID-19 recovery packages 164, 1550, \r 1557-1559, 1590-1591, 1591-1592\r credit risks 1557\r creditworthiness 915-916\r cross-border climate financing 1558, 1560\r cross-sectoral considerations 1248\r cross-sectoral implications 1320-1321\r crowdfunding 1012\r current financial flows assessment 1562-1567\r de-risking tools 1603-1605\r definitions 1552-1553, 1552, 1554, 1567-1569, \r 1574-1575\r [...]"


id: cd88f96e00bbf65d66803a91ddb08019
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 33494
content:
"[...] disaster risk reduction finance 1554, 1566\r early-stage 1578, 1656\r effect of COVID-19 pandemic 512\r enabling environments 1586-1590, 1589\r enabling shifting development pathways and \r accelerated mitigation 412, 460, 462-463, \r 465-466, 467\r engagement of financial sector in Climate \r Agenda 1555-1556\r ESG (environmental, social, and governance) \r financial products 1550, 1600-1601\r FAQs 1610\r financial accounting standards 1391\r financial markets and regulation 1586-1587\r financing gaps 1549, 1555, 1574-1579, 1580, \r 1610\r financing needs 1549, 1567-1574, 1597\r food system transitions 1293\r foreign direct investment 1318\r fossil fuel-related and transition 1566-1567\r grants, loans and guarantees 1012, 1560, 1589, \r 1590, 1593, 1605, 1676\r green stimulus packages 1408-1409\r home bias 1577\r incentives 219\r infrastructure investments 467, 1605, 1756\r innovation and technology 219, 1216-1217, \r 1578, 1644, 1645, 1649, 1651, 1655, 1656, \r 1664-1665, 1664\r [...]"


id: 518c350f0008dbc0acf494f69cefcebf
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 11627
content:
"spillover effects and competitiveness 1318-\r 1320\r at sub-national and city levels 1512-1513\r sustainable development 1453, 1454, 1497-\r 1499, 1501-1502, 1732-1734, 1735, 1736\r threats to multilateral cooperation 165\r trade agreements 1499-1501\r transnational business partnerships 1511\r transnational networks and partnerships \r 1378-1379, 1380, 1381, 1515\r transnational non-state actors 1494-1495\r transnational public-private partnerships 1506, \r 1509-1512\r transport sector 529, 531, 1116-1117, \r 1506-1508\r triangular cooperation (TrC) 1501-1502\r UN climate change regime 1453, 1460-1463, \r 1471, 1486-1487\r see also Paris Agreement\r international cooperative initiatives (ICIs) 411, \r 426-430, 427-428, 912-913, 1485-1486\r International Energy Agency (IEA) 1176, 1179, \r 1184, 1201, 1505\r emissions dataset 1836-1837\r reference scenarios 1251-1252\r scenarios 1201-1203, 1202, 1204, 1206\r World Energy Outlook 165, 995, 1179, 1203, \r 1251-1252, 1741\r International Maritime Organization (IMO) \r [...]"


id: e7dd044a01e7270a059fbcb706f6d57d
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 38105
content:
"[...] 1506\r International Renewable Energy Agency \r (IRENA) 1505\r International Shipping and Aviation 1824, 1824\r see also aviation; shipping\r international trade\r bioeconomy 1311\r climate clubs and building blocks 1459\r and consumption 520\r emissions 166-167, 773\r embodied in trade 217-218, 244-245, 244\r industry emissions 1176, 1206\r transport emissions 1056\r food system policies 1293\r geographical shifts 245\r hydrogen and biomass 684-685\r modelling methods 1846\r net emission transfers 245\r spillover effects and competitiveness 1318-\r 1320\r trade agreements 1499-1501\r internationally transferred mitigation outcomes \r (ITMOs) 1470, 1478\r internet of things (IoT)* 440, 924-925, 979-980, \r 1062, 1735\r intersectionality 525-527, 1769\r investment and finance 47-48, 133-136, \r 158-159, 163, 168-169, 465-466, 1547-1610\r accelerating transition in context of sustainable \r development 1734-1735\r access to finance 1321, 1549, 1550\r adaptation and mitigation 426, 469, 1759\r [...]"


id: d5e92b5882e576f68e1c12a85fe8dad4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 34952
content:
"transformative potential 1460, 1460, 1475, \r 1515\r emissions targets 1517\r energy sector 1504-1506\r equity context 1454\r evaluating 1456-1460\r equity framework 1458\r global commons framing 1456-1457, 1458\r political framework 1457\r transformation framing 1457, 1458\r transitions framing 1457-1458\r FAQs 1517\r forestry, land use and REDD+ 1503-1504, 1510\r fossil fuel phase out 1593-1594\r free-riding 1456-1457, 1458\r governance\r climate governance 1481-1482, 1482\r multi-level, multi actor 1453, 1495-1513, \r 1515\r sectoral level 1503-1508, 1514\r of SRM and CDR 1278-1279, 1488, \r 1493-1494, 1494-1495\r human rights 1499\r indicators of progress 1457-1458\r industry 1213, 1514\r international assessments 1732-1734\r investment agreements 1499, 1501\r investment and finance 47-48, 1320, \r 1558-1559\r climate finance 1471-1472, 1482-1485, \r 1485\r leadership 257, 1463, 1467\r litigation 1499\r loss and damage 1498\r low-emission technologies 1683-1685\r market-based mechanisms 1475-1476, 1488\r [...]"


id: d6ba43bd47ad9859d45b394e1a742450
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 35086
content:
"[...] mitigation and sustainable development \r 1498-1499\r multilateral environmental agreements (MEAs) \r 1496-1497, 1515\r Nationally Determined Contributions (NDCs) \r 1466-1468, 1467\r networks 1756\r non-state actors 1485-1486, 1494-1495, 1513\r policy implementation 1015\r policymaking processes 1732-1734\r regional cooperative structures 1487\r regional policy costs 362-363\r science, technology and innovation 1485-1487, \r 1689, 1701\r climate technology 1689\r research and development (R&D) 1656, \r 1675, 1685, 1687-1688\r technological change and energy transition \r 219, 256-257, 1687-1688\r technology development and transfer \r 257, 1457, 1472-1473, 1645, 1656, \r 1683-1689\r technology investment 1505\r sectoral agreements and institutions 1503-\r 1508, 1514\r shifting development pathways 459\r South-South cooperation (SSC) 1501-1502"


id: b2f1c2bfccd091a71e28ae28d767412
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28720
content:
"insurance 1558, 1594-1596\r integrated financial solutions 1320\r international agreements 1499\r international cooperation 1482-1485, 1485, \r 1558-1559, 1602\r international transfers 363\r investment away from fossil fuels 1509\r investment needs 363-364, 363, 364, 1567\r investors 1602-1604\r just transitions 1549, 1603\r land-based funding 916\r local capital markets 1602-1606, 1609\r losses and damages 1579\r low-carbon investment 462\r macroeconomic factors 1550, 1556-1559, 1584, \r 1591-1592\r misalignment 1550, 1566-1567\r mitigation finance 1554\r in mitigation pathways 363-364, 363, 364\r mobilising capital 1602-1606\r modelling methods 1845-1847\r multilateral initiatives 1588-1589\r nature-based solutions 1607-1609\r new business models 1550, 1607-1610\r new markets and technologies 1578, 1587\r nuclear power 641\r parallel investments 1550, 1578\r Paris Agreement 158-159, 1470, 1471-1472, \r 1474\r pathways and scenarios 300\r policy options 1550-1551, 1567, 1602\r policy packages 1587-1588\r [...]"


id: f18282c0febf70ef6bdc3d909de6a7c6
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 39875
content:
"[...] private sector finance 1484-1485, 1564, \r 1565, 1566, 1589-1590, 1597, 1602, 1603, \r 1608-1610, 1665\r public finances and debt 1550, 1557, 1579, \r 1590-1591, 1592-1593, 1597\r public pricing and taxation 1561\r public-private cooperation 1550, 1589-1590\r public-private partnerships (PPPs) 1510, \r 1511-1512, 1597\r public procurement 1213, 1217, 1294, 1392, \r 1672-1673, 1673\r public sector finance 163-164, 1550, 1565, \r 1588, 1589-1594, 1664, 1664, 1665\r R&D funding 1664, 1664, 1665\r REDD+, support for 1470\r regional analysis 1564, 1571-1573, 1571, 1574, \r 1575, 1577\r research, development, and innovation (RDI) \r 1216-1217\r risk 1829-1830\r scenarios and pathways 158-159, 300, \r 363-364, 1550, 1566-1567, 1569-1574, \r 1570-1571, 1576, 1583-1585, 1585, \r 1592-1593\r sector studies 1572-1574, 1573, 1576-1577\r service-based business models 1607\r sub-national and non-state actors/actions \r 429-430\r sustainability transitions 1767\r sustainable finance 1550, 1552, 1578, 1600, \r [...]"


id: 109e1ef135775d5921b724afc5f4404
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 108
content:
"technical assistance/partnerships 1603, \r 1604-1605, 1606\r transnational cooperative action by investors \r 1511-1512\r transparency 1550, 1584, 1586, 1598-1599, \r 1600, 1606\r urban mitigation and adaptation 879-880, 912, \r 915-916\r venture capital (VC) 1665\r see also banks and financial institutions; climate \r finance*; finance flows; specific sectors\r IPCC First Assessment Report (FAR) 1732\r IPCC Second Assessment Report (SAR) 1732\r IPCC Third Assessment Report (TAR) 1732\r IPCC Fourth Assessment Report (AR4) 1732\r IPCC Fifth Assessment Report (AR5) 156-157, \r 866\r AFOLU emissions 753, 754, 755, 764, 766, 771\r AFOLU mitigation measures 775, 780, 784, \r 789, 790, 792, 793, 794, 796, 800, 803, 804, \r 805, 821\r buildings 975\r changes since 153\r climate-resilient pathways 1401\r global mitigation pathways 1871\r international cooperation 1455\r investment and finance 1554\r land-use change (LUC) 768\r leakage 821\r mitigation pathways 415\r sustainable development 468, 1732\r [...]"


id: a0608d23cd8b3380c013fb3fd7f0f8ce
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 25426
content:
"[...] IPCC Sixth Assessment Report (AR6) 157\r IPCC Special Report on Climate Change and \r Cities in AR7 867\r IPCC Special Report on Climate Change and \r Land (SRCCL) 156, 1456\r adaptation and mitigation 468\r AFOLU drivers 771\r AFOLU emissions 764, 765, 766, 771\r AFOLU mitigation measures 753-754, 755, 775, \r 780-782, 783, 784, 785, 786, 787, 788, 789, \r 790, 792, 793, 794, 795-796, 796-798, 800, \r 803, 804, 805, 822\r cities and human settlements 866\r food systems 1279\r governance 1750\r land use and mitigation 1297-1298\r IPCC Special Report on Global Warming of \r 1.5degC (SR1.5) 155, 156, 157, 158-159, 187, \r 1456, 1477\r adaptation and mitigation 468\r AFOLU mitigation measures 789, 790, 792, 800, \r 821, 823, 824, 825\r buildings 992\r investment and finance 1554-1555\r land use and mitigation 1297\r low energy demand scenario 508, 509\r mitigation pathways 415\r multilevel governance 912\r Nationally Determined Contributions (NDCs) \r 1466\r near to mid-term mitigation and development \r [...]"


id: 60c2256a24d6bc6bc5487a7c6d00f51b
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14319
content:
"Japan\r accelerated mitigation pathways 435, 437, 438, \r 439, 440\r buildings 439, 440, 989, 990\r coal use and phase-out 625\r consumption-based emissions 243\r Deep Decarbonisation Pathways Project (DDPP) \r 1740\r eco-industrial parks 1755\r energy-related CO2 emission pathways 434\r energy sector 437, 439\r green-city initiatives 1756\r household emissions 260, 262\r hydrogen transport 658\r industry 1207, 1221\r low emission strategies 433-434\r net zero energy buildings 440\r net zero targets 432\r non-CO2 emissions 1390\r Paris Agreement 1462\r R&D funding 1674\r solar PV 557\r urban population 870\r voluntary agreements 1392\r see also Australia, Japan, and New Zealand\r Joint Implementation 1462, 1475\r Jordan 1317-1318\r just transitions* 43, 47, 75-76, 154, 178, \r 189-190, 472-474, 1729\r academic literature 433\r accelerated mitigation and shifting development \r pathways 412, 413, 414, 415, 472-474, \r 474, 475\r and carbon leakage 1745\r and climate finance 1549, 1559-1562, 1604\r [...]"


id: 3a7fc06abf563f04b6859f0a4ed8abfb
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 7493
content:
"[...] coal and fossil fuel phase-out 625, 1745-1749\r commissions, task forces and dialogues 159, \r 474, 475, 1367-1368, 1407\r employment 1560-1561\r national development plans 453\r to net zero 328-329\r organisations and movements 469, 473, 474, \r 474\r private investors 1603\r and stranded assets 1745-1749\r sustainability transitions 1768-1769\r transformative justice 1407\r justice* 153, 1746, 1748, 1768-1769, 1771, 1772\r climate justice* 43, 1368, 1370, 1370, 1407, \r 1508-1509, 1559\r distributive justice 1405, 1407, 1746, 1748"


id: 810b8be7c238a7d127582bec714020bd
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 19839
content:
"regulations 816-818\r SDG linkages 1302\r urban 880-884, 881, 882, 883, 887\r see also land occupation\r land-use change (LUC)* 767-771, 827, 828, 1301\r afforestation/reforestation (A/R) 1300, 1302\r bioenergy and BECCS 801-802, 825\r biofuels 1066\r biomass production 1301, 1302\r conversion of natural ecosystems 784-787\r Illustrative Mitigation Pathways (IMPs) 811, 812\r land availability 825-826\r modelling methods 1855\r land use, land-use change and forestry \r (LULUCF)* 812\r CO2 emissions 160, 161\r CO2 fluxes 760-761, 761, 762\r economic mitigation potential 809\r emissions and removals 756\r Nationally Determined Contributions (NDCs) \r 421\r land-use models (LUMs) 1855-1856, 1858-1859\r land-use pathways 1297-1298\r Latin America and Caribbean 1823, 1824\r accelerated mitigation pathways 435, 438\r adaptation and mitigation 1402\r AFOLU emissions 252-253, 253, 254, 756, 756, \r 759, 759, 765\r AFOLU mitigation pathways 806, 807\r AFOLU mitigation potential 777, 778, 780, 781, \r [...]"


id: 1a5f910899e95ec9a86b9d09fc3bcce4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 1838
content:
"[...] 782, 787, 793, 810-811, 810\r bioenergy 438\r buildings emissions 250, 964, 965, 966, 968, \r 978\r buildings energy demand 971, 973, 973\r buildings mitigation potential 989, 991\r climate change impacts on energy supply 668\r climate-related economic losses 1594\r climate risk pooling and insurance 1594, 1595, \r 1596\r climate-smart villages (CSV) 795\r coal use and phase-out 697\r consumption-based emissions (CBEs) 241, 242\r deforestation 759\r distributional effects of mitigation 445\r emissions and land dynamics 806-807\r emissions embodied in trade 244\r emissions projections 335\r emissions trends and drivers 233, 234-235, 236, \r 238, 246, 248, 249\r energy investment needs 1571, 1571\r energy sector emissions 248, 620, 621\r financial flows and stocks 1562, 1563\r forest 817\r fossil fuel-dependent countries 1746\r IMP for energy system transformation 689, 691\r industry emissions 248, 249\r land-based emissions/removals 806\r land cover change 807\r local capital markets 1606\r [...]"


id: b2747b4e0dbb986895482d454b8c6f16
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28631
content:
"[...] payment for ecosystem services (PES) 815\r per capita emissions 218\r per capita floor area 969"


id: 15b611db192339d187a836bdb8fbd13f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 1033
content:
"governance 1248, 1303-1304\r investment 1576-1577\r Land Degradation Neutrality (LDN) and \r managing trade-offs 1304-1306\r land occupation and consequences 1297-1304, \r 1306-1307\r land restoration 470-471, 780-781, 786, \r 787-788\r mitigation potential 774-777, 776, 778-779\r models/modelling methods 1856\r reducing degradation and conversion 779-781, \r 784-787\r scenarios and pathways 323, 324, 346-348, \r 346, 347\r soil carbon management 788-789, 1273-1274, \r 1276, 1277\r synergies and trade-offs with SDGs 40-41, \r 41-42, 1749-1751, 1762\r land cover change* 347, 766, 806-807, 807, \r 1274, 1301\r land degradation* 769, 770, 800, 827-828\r land-based mitigation 1299, 1300-1301, 1302\r managing trade-offs 1302, 1304-1306, \r 1503-1504\r reducing 779-781, 784-786\r shifting development pathways to sustainability \r 469-471\r use of degraded land for biomass production \r 1302\r Land Degradation Neutrality (LDN) 1302, \r 1304-1306, 1503-1504\r land efficiency 253, 254\r land management* 754, 755, 1749-1750\r [...]"


id: 6492f60904a3b0b532b81e1b62928177
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14968
content:
"[...] agroforestry 790-791, 791-792\r biophysical effects 766\r forest 781-784, 782-783, 804-805, 816-818, \r 817, 826, 1274, 1276, 1300\r regulatory measures 816-818\r soil carbon management 788-789\r sustainable 1302, 1747\r land occupation 1247, 1250, 1297-1299, 1321\r afforestation/reforestation (A/R) 1300-1302\r biomass-based systems 1299-1302\r conversion for solar energy 632\r hydropower 1303\r non-land-based mitigation options 1302-1303\r nuclear power 640, 1303\r risks, impacts and opportunities 1299-1304\r solar power 1302-1303\r wind power 1302\r land rehabilitation* 1300-1301, 1304-1306\r land restoration* 470-471, 1276, 1300-1301, \r 1304-1306\r coastal wetlands 470, 787-788, 1274, 1276\r costs and potentials 1274\r peatlands 786, 1274, 1276, 1750\r land use* 760-761, 809, 1304, 1307-1311, 1404\r and CDR 1262-1263\r emissions drivers 767-771\r global trends 772\r marginal/abandoned/degraded land 800\r monitoring, reporting and verification 760-761\r projections 314, 315"


id: c71b4cfaaf0057950e23cbc88440270e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 32349
content:
"light-duty vehicles (LDVs) 1074-1079, 1075, \r 1078\r modelling approaches 1844\r novel and future foods 1289\r nuclear power 640\r ride-hailing 542\r solar PVs 632\r transport 1074-1080, 1075, 1078, 1081, 1082, \r 1145-1146\r lifecycle costs (LCCs)\r buses and passenger rail 1080, 1082, 1148\r electric vehicles (EVs) 1078, 1079, 1080, 1082, \r 1148-1149\r hydrogen fuel cell vehicles (HFCVs) 1078, 1079, \r 1080, 1082\r light-duty vehicles (LDVs) 1078, 1079, 1148\r trucks and freight rail 1084-1085, 1085, \r 1148-1149\r lifecycle GHG emissions\r buses and passenger rail 1079-1080, 1081\r chemical products 1193\r light-duty vehicles (LDVs) 1074, 1075, 1076, \r 1077\r lifestyle 219, 260-265, 983\r see also behavioural changes; human \r behaviour*\r light-duty vehicles (LDVs) 1069-1070, 1074-\r 1079, 1075, 1076-1077, 1078, 1085-1086, \r 1106, 1108-1109\r lighting see appliances and lighting\r likelihood* 4n, 317, 1876, 1882\r liquefied natural gas (LNG) 623, 647, 1065, 1080, \r 1095, 1098\r [...]"


id: b812b32741abc2c593f53e090f74035
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 29602
content:
"[...] liquefied petroleum gas (LPG) 458, 548, 559, \r 569, 624, 629, 1005, 1399\r liquid air energy storage (LAES) 655\r livelihoods* 824-825, 828-829, 875, 1309, 1750\r livestock production 768, 771, 772, 792-793\r local governments 879-880, 1370, 1510-1511\r lock-in* 154, 188, 189, 355-356, 696\r buildings 697, 956\r and climate finance 879\r developing countries 1745\r energy systems 615, 696, 697, 1743, 1745\r fossil resources and phase-out 355, 697, 1743, \r 1745\r industry sector 697, 1207, 1208-1209\r institutional 189, 696, 1768\r and path dependence 696, 697-698, 1770\r related to infrastructure 265, 268\r and social inertia 472, 696\r technology deployment and diffusion 1649\r transport 894, 1059\r and urban land expansion 863\r urban systems 268, 697, 879, 894-896, \r 895-896, 899, 911, 1059\r long-term goal compatible mitigation pathways\r 77-88, 295-386\r accelerated action 356-358, 357\r assessment methods 302-303, 310, 383-384\r avoided climate impacts 365-367, 367, 369, \r [...]"


id: 95f7333e654ae782f6ced1485016345a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 23578
content:
"co-benefits, synergies and trade-offs 301, 368, \r 369-378, 376\r CO2 and GHG, role of 318-324, 318, 320-322, \r 323\r cross-sector linkages 336-341, 337\r economic implications 300, 358-369\r benefits of avoided climate impacts \r 365-367, 367\r co-benefits and trade-offs 368\r costs and benefits 359, 360-363, 362, \r 365-367, 367\r distributive effects 369\r economy wide 359, 360-364\r investments 363-364, 363, 364\r structural change and employment 368-369\r emissions reductions 299, 329, 337, 349-351, \r 350\r emissions trajectories 318-329, 318, 320-322, \r 330-332\r climate change impacts 335\r mitigation strategies 332-334\r net zero emissions 324, 325-329, 329\r socio-economic drivers 313-315, 314\r temperature categories 315-318, 315, 329, \r 330-332\r enabling factors 382-383\r FAQs 385-386\r feasibility 378-383, 380\r impact of COVID-19 pandemic 316\r implications of near-term emission levels \r 351-356, 352, 353\r mitigation strategies 332-334\r model comparison/assessment 299\r [...]"


id: 4ce97db58b1a0cd4c5ddac25f7392ab9
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 10801
content:
"[...] and near- to medium-term emissions reductions \r 349-351, 350\r pathway types and modelling 303-313\r peak warming 299, 351, 352, 353\r regional 334, 335, 337, 362-363, 362\r sectoral analysis 299, 336-348, 336\r sustainable development 301, 369-378, 370, \r 371\r temperature outcomes 315-334, 315, 317, \r 320-322, 323, 330-332\r timing of mitigation action 347, 349-358, 357, \r 362\r timing of net zero emissions 322, 324, 325-329, \r 329, 337, 339, 352, 354\r Loss and Damage* 1498\r losses and damages* 37, 1562, 1594, 1595\r low-carbon development pathways 1740-1742\r low-carbon energy transition 28, 255-259, \r 685-706, 707\r acceptability 701-702\r assessment and indicators 693\r behaviour and societal integration 701-703\r carbon capture technologies 641-643, 692-693\r critical strategic minerals 637-638\r cross-sector integration 616\r definitions 619\r economic outcomes 616, 703-704\r encouraging mitigation action 701-702\r energy carriers 691-692, 692\r energy demand reduction 692"


id: e992e23fc168f53f2b7b1dd77260446c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 38447
content:
"REDD+ 1402\r services for well-being 515\r technology transfer and cooperation 1502\r timing of net zero emissions 324\r transport demand 1102\r transport emissions 252, 1053, 1055, 1056, \r 1100, 1101\r urban adaptation and mitigation 1758\r urban emissions 863, 885, 885, 886\r urban emissions scenarios 891, 892\r urban land expansion 863, 888, 888, 889\r urban population and urban expansion 883, 883\r urbanisation scenarios 888, 888, 889, 891, 892\r voluntary offsets 814\r see also specific countries\r leakage* 166-167, 1393-1394, 1393\r AFOLU sector 813, 820, 821\r cross-sectoral effects 1248, 1318-1319\r energy sector 628, 700-701, 1319-1320\r industry sector 1164, 1176, 1214, 1221\r and just transitions 1745\r measures addressing 466, 1500\r leapfrogging* 563, 900, 921, 922, 1654, 1746\r Least Developed Countries (LDCs)\r adaptation and mitigation 1759\r capacity building 1473-1474, 1687\r climate finance 1564\r cumulative historical emissions 9\r energy investment needs 1572\r energy use 516\r [...]"


id: 2c4e18e79bd529a5a57e01a1ced6b98a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 5061
content:
"[...] finance gap 1549\r financial flows and stocks 1562, 1563\r GHG emissions 233, 235\r informal settlements 884\r local capital markets 1606\r low-emission technology deployment \r 1684-1685\r Paris Agreement 1462-1463\r per capita GHG emissions 9\r regulatory approaches 816\r urbanisation 869, 871\r levelised cost of conserved carbon (LCCC) 1827\r levelised cost of conserved energy (LCCE) 1827\r levelised cost of energy/electricity (LCOE) 12, \r 662-663, 662, 663, 1254, 1589, 1826-1827\r bioenergy 662\r EV batteries 258\r fossil energy 662\r geothermal energy 648, 662\r hydropower 638, 639, 662\r nuclear power 640, 662\r renewable energy technologies 258\r solar energy 168, 258, 630-632, 631, 662, 663\r wind energy 168, 258, 636, 636, 662\r leverage points 1410, 1411\r lifecycle assessment (LCA)*\r biofuels 1066\r building materials 977\r buildings 995\r direct air carbon dioxide capture and storage \r (DACCS) 1266\r food commodities 1282-1283, 1283, 1289"


id: 619121d20d21225baaf29f76951a45c3
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14460
content:
"material substitution* 633, 804-805, 977, \r 978-979\r Mauritius 1320-1321\r Measurement, Reporting and Verification \r (MRV)* 221-225, 239-240, 750, 1278, 1297, \r 1304\r media 1358, 1377-1378\r medium-duty vehicles 1082, 1083, 1085\r megacities* 542, 558-559, 869, 870, 870, \r 900-901, 913, 1767\r megatrends 538-546, 558-559, 877-880, \r 1061-1063, 1654\r mercury emissions 1497\r methane (CH4)*\r accelerated mitigation pathways 441-442\r accounting methods 756\r AFOLU emissions 750, 751, 753, 764-766, \r 764, 765, 771, 792-793, 821, 1832, 1833, \r 1835-1836\r AFOLU emissions reduction 346, 346, 789\r AFOLU mitigation potential 808, 809, 810-811, \r 810\r AFOLU net GHG emissions 756-758, 756, 757\r AFOLU regional emissions 765-766, 806-807, \r 806\r air pollution 232, 233\r ammonia production 1184\r annual global emissions 223\r atmospheric lifetime 1831\r buildings emissions 955, 963\r coal, oil and gas emissions 646, 647\r coastal wetlands/ecosystems emissions 470, \r 788\r contribution to warming 159, 225, 226\r [...]"


id: 10694220f5c293945e07e968be83e154
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 75
content:
"[...] conversion into CO2 1833\r costs and potentials 1253, 1257, 1258, 1260\r emission metrics 227, 1830\r emissions datasets 1831, 1832-1833, 1833, \r 1834-1836\r emissions growth 228-229, 229\r emissions reduction policies 1390\r emissions trends 6, 7, 159, 160, 228\r emissions trends and drivers 221, 232, 233\r emissions uncertainties 222, 224-225\r energy emissions 28\r enteric emissions 253, 771, 789, 792-793, \r 806-807, 806\r fire emissions 783\r food system emissions 1281, 1281, 1282, 1283\r global warming potential (GWP) 1831, 1833, \r 1833\r hydropower emissions 1303\r Illustrative Mitigation Pathways (IMPs) 26, 811, \r 812\r international cooperation 1511\r manure emissions 795-796\r mitigation options for coal, oil and gas 646\r mitigation potential 751\r peatland emissions 785, 786\r production 1184, 1186\r pyrolysis 658\r residual emissions 328"


id: 4e100ef64fe37fde76a2d74495ad3e0f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 10996
content:
"innovation 46\r international cooperation 1683-1685\r technology transfer 1683-1685\r transport 32\r low-emissions development strategies (LEDS) \r 431, 431-432, 433\r Low Energy Demand (LED) scenario 375, 441, \r 508, 509, 535, 536, 970, 1202, 1203, 1735, 1740\r M\r macroeconomics 1556-1557\r impact of COVID-19 pandemic 1557-1559, \r 1591-1592\r implications of technological transition 1584\r macroeconomic effects of mitigation 359, \r 360-364\r macroeconomic models 1729, 1740\r model frameworks 1845\r Madagascar 1365\r mainstreaming 177, 1370\r maladaptive actions (maladaptation)* 922\r Malaysia 785, 871, 1747\r malnutrition* 1279-1280\r mangroves 470, 768, 770, 786, 787, 788, 1271\r manufacturing 1164, 1194\r manure management 795-796\r marginal abatement cost of carbon 359, 360, \r 360\r marginal abatement costs 807-809, 1259, 1735\r marine cloud brightening (MCB) 1489, 1490, \r 1491, 1492, 1493-1494\r marine ecosystems 377\r marine energy 627, 649, 665\r market-based policies see economic/market-based \r [...]"


id: d833cf77856f170a3c15f434c35d9ff1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 35336
content:
"[...] policy instruments\r market failures* 1650, 1657\r market mechanisms 1359, 1384-1386, \r 1475-1476, 1488\r marketing regulations 1293\r Marrakech Partnership for Global Action 426\r mass timber 902\r material demand 248-249, 1176-1177, 1177\r industry scenario analysis 1206\r lithium-ion batteries (LIBs) 1053, 1069\r photovoltaics (PV) 632\r policies 1209\r reductions, co-benefits for SDGs 1210\r urban areas 923, 923\r material efficiency (ME) 531, 1168-1171, 1170, \r 1172, 1177-1179, 1178, 1188\r buildings 911, 977, 978-979\r cement and concrete 1191\r co-benefits for SDGs 1210\r policy approaches and strategies 911, 1209, \r 1213, 1223\r scenarios 892, 1178-1179, 1203, 1204, 1205, \r 1206\r steel sector 1190\r material intensity 1163, 1165, 1169\r material recycling 901, 1170-1171"


id: 83b587662536c7a5c8da78b51387dae1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 20315
content:
"gy y\r 687\r financial risks 1581, 1582-1583, 1584\r fossil fuels 698-700\r Illustrative Mitigation Pathways (IMPs) 259, \r 689-691\r industry energy use 1180, 1193\r integrated whole-system approaches 650-651\r investment 615, 693-695, 694, 695\r lock-in and path dependence 696, 697-698\r policy and governance 700-701\r primary energy and electricity production \r 688-689\r renewable energy penetration and fossil fuel \r phase-out 1742-1744, 1743, 1745-1749\r residual emissions 692-693\r resilience 669\r scenarios and pathways 259, 689-691, \r 1740-1741, 1742\r societal and institutional inertia 696\r speed 66, 256-259, 562-564\r strategies 688-689, 691-693\r sustainable development context 616, 698, \r 703-706, 1739-1742\r technology 259, 641-643, 692-693\r low carbon materials 442, 986, 987, 1193, 1219\r low-carbon scenarios 378-382, 1101\r low-carbon societal transition 153, 154, 513\r behaviour change 170-171\r economic and technological drivers and \r constraints 153\r economic factors 153, 165-169\r [...]"


id: e863a887e4269f053e394b524c2532a7
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 38218
content:
"[...] institutional factors 153, 171-173\r socio-political issues 153, 169-171\r technology and innovation 167-168\r Low-Carbon Society (LCS) assessments \r 1740-1741\r low-carbon technology 153, 165, 218-219, 255\r investment 67, 1568\r policies 256\r rapid progress 67\r see also technology; technology and innovation\r low-carbon transitions 1746-1749\r feasibility frameworks 378-379\r policies 461, 568\r socio-economic context 871\r see also transition*\r Low Demand (IMP-LD) 309, 310-312, 333, 333, \r 334, 336, 337, 824, 825, 1200, 1200, 1877-1879\r characteristics 175, 330, 338\r cross-cutting implications 893\r level of ambition and scenario features \r 174-175, 174\r physical and transition risk 1585\r quantitative scenario selection 1879\r storyline 175, 1878\r transport sector 1109-1110, 1110-1111\r warming levels 307, 309, 330\r low-emission development pathways 30\r low-emission pathways 30, 1700, 1741, 1743\r low-emission technologies 11, 12\r enhancing uptake in developing countries \r 16841685"


id: 47671078c2e0f458ba11abbc9de498d1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 9772
content:
"scenarios and pathways 17, 23-24, 299, 318, \r 319\r sources* and sinks* 755, 1831, 1832-1833, \r 1833, 1834-1836\r timing of net zero emissions 324\r transport emissions 1065, 1146\r urban emissions 863, 885, 885, 886\r warming contribution 350\r see also biomethane\r methanol 1184, 1186\r methanol fuel cells 1071\r Mexico\r accelerated mitigation pathways 440\r climate laws 1361, 1363\r diet 254\r energy-related CO2 emission pathways 434\r geologic CO2 storage potential 641\r international cooperation 1501\r net zero energy buildings 440\r public trust 555\r Middle East 1823, 1824\r AFOLU emissions 253, 756, 759, 765, 766\r AFOLU mitigation pathways 806, 807, 807\r AFOLU mitigation potential 777, 778\r buildings emissions 250, 964, 966, 968\r embodied emissions 978\r reduction potential 968\r buildings energy demand 970, 971, 972-973, \r 973\r buildings mitigation potential 989, 991\r consumption-based emissions (CBEs) 241, 242\r emissions and land dynamics 806-807\r emissions embodied in trade 244\r [...]"


id: 21c4fee5a2fbee913109bfc0636f23bd
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 3156
content:
"[...] emissions projections 335\r emissions trends and drivers 233, 234-235, 236, \r 238, 246\r energy investment needs 1571, 1571\r energy sector emissions 248, 620, 621\r energy systems emissions scenarios 685, 686\r financial flows and stocks 1562, 1563\r geologic CO2 storage potential 641, 641\r industry emissions 249\r land-based emissions/removals 806\r land cover change 807\r per capita floor area 969\r services for well-being 514, 515\r transport demand 1101-1103, 1102\r transport emissions 252, 1053, 1055, 1056, \r 1099, 1100, 1101\r urban emissions 863, 885, 885, 886\r urban emissions scenarios 891, 892\r urban land expansion 863, 888, 888, 889\r urban population and urban expansion 883, 883\r urbanisation scenarios 888, 888, 889, 891, 892\r migration (of humans)* 452, 453, 773, 1303, \r 1559\r mining and extraction 1169, 1170, 1755\r coal 1743\r and deforestation 769-770\r enhanced weathering 1267, 1268\r rare metals for batteries 1744\r reducing 704\r Mission Innovation 1687-1688"


id: 98c8ad7fd8979ad2b12196b4216cb4cb
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 24098
content:
"mission-oriented innovation systems (MIS) \r 1661\r mitigation costs 155, 156, 170, 359, 361-362, \r 444, 446, 446, 538\r long-term 616, 703-704\r marginal 444-445\r model assessment 1740\r regional 362-363, 362\r mitigation finance 1554\r mitigation measures* 1322\r cross-sectoral interactions and integration 1249, \r 1313\r cross-sectoral perspectives 1313-1314, 1314, \r 1315-1316\r novel and emerging 830\r see also demand-side measures*; supply-side \r measures*; specific sectors\r mitigation (of climate change)* 153-194, 1413\r accelerating see accelerating mitigation\r and adaptation 468-471, 1359, 1403-1405, \r 1403-1404\r barriers 144, 144\r broadening and deepening 412-413, 456-459\r changing global context 55-58\r climate governance 190\r conclusions and knowledge gaps 191-192\r in context of COVID-19 pandemic 162, 162-164\r in context of emissions trends 159-162, \r 160-161\r in context of multilateral agreements 158-159\r in context of sustainable development 141-147, \r 170, 176-180\r [...]"


id: b7d60e14b92c68b4dd5fbce0079c3a8e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 29565
content:
"[...] cross-sectoral implications 1311-1321\r delaying 170, 506\r drivers and constraints 165-173, 191\r enabling conditions 144, 144, 187, 188\r equity, fairness and inequality 170, 265\r feasibility 144-146, 145, 146-147, 187, 188\r framing and context 153-194\r impacts of trade agreements 1499-1501\r implementation and enabling conditions \r 125-140\r innovation, technology development and \r transfer 136-140\r international cooperation 132-133\r investment and finance 133-136\r policy and institutions 125-131\r social aspects of mitigation 133\r institutions and governance 172, 1358\r knowledge gaps and future research 191-192\r long-term economic benefits 87-88, 365-367, \r 367\r multi-dimensional assessment 187-190\r non-climate impacts 1312-1313, 1312\r opportunities 164\r overlaps, synergies and conflicts 1497-1499\r Paris Agreement relevance to mitigation \r 1463-1474, 1463, 1474-1475\r policy impacts 171-172\r potential for net co-benefits 187\r progress and continuing challenges 57-58\r [...]"


id: d3db268ef8b7129b815412a1bb9b9372
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 34614
content:
"subsidies for 1386-1387\r synergies 1400-1403\r systemic change 1408\r understanding mitigation response strategies \r 180-187\r see also Illustrative Mitigation Pathways (IMPs); \r land-based mitigation; specific sectors\r mitigation options* 123, 124\r adaptation and mitigation 40, 42, 1307-1311\r costs and potentials 37, 38-39, 1251-1260, \r 1254-1256, 1257\r cross-sectoral perspectives 1311-1314, 1314, \r 1315-1316\r feasibility assessment 1837-1838, 1837\r with high potential 1253\r land related impacts, risks and opportunities \r 1297-1304, 1304-1311\r representation of in models/modelling methods \r 1849-1850, 1854-1855, 1856\r synergies and trade-offs with SDGs 1761-1764, \r 1762, 1838\r see also specific sectors\r mitigation pathways* 24-25, 26-27, 43, \r 383-384, 476\r AFOLU sector 806-807\r cost-effective 1875\r cumulative CO2 emissions 320-322\r established cities 921-922\r high efficiency low demand 505\r innovation process in 1657-1658, 1658-1659\r national 411, 431\r net-zero CO2 emissions 320\r [...]"


id: 33ca8435b6f15e98743205788bcf09d9
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 6354
content:
"[...] new and emerging cities 922-925\r rapidly growing cities 922\r role of carbon dioxide removal (CDR) 1262-\r 1263, 1264-1265, 1267, 1268, 1274, \r 1275-1276\r transformative changes 411\r using reconciled anthropogenic land CO2 fluxes \r 762-763\r mitigation potential* 37, 38-39, 1247\r for 2030 per sector 1247, 1252-1260, \r 1254-1256, 1257\r AFOLU sector 750-751, 752, 753, 774-777, \r 776, 778-779, 796, 799-800, 799, 804\r aggregated 1256-1260, 1257\r aviation decarbonisation 1087-1090\r Avoid, Shift, Improve (ASI) 505\r bioenergy 644-645\r bioenergy and BECCS 799-800, 801\r buildings sector 343, 955, 957, 988-996, 989, \r 990, 991\r circular economy 545\r climate change impacts on 335\r coastal wetland preservation 787\r coastal wetland restoration 788\r commitments by sub-national actors 1380-\r 1381\r cross-sectoral 1249-1250, 1256\r cross-sectoral implications 1313\r demand-side measures 505, 514, 516, 528-529, \r 530, 532, 541, 543, 545, 1257\r digitalisation 541"


id: 142ee00e37c2db6609c952758d54aa3
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 765
content:
"tional Adaptation Plans (NAPs) 1401, 1574\r tional and sub-national policies and \r institutions 13, 47, 269-271, 426-435, \r 427-428, 1355-1413\r accelerating mitigation 414-415, 435-446, \r 1358, 1359, 1406-1411, 1412\r accelerating transition 1735-1736, 1764-1770\r actors, influence of 1373-1381, 1411\r adaptation and mitigation 1359, 1400-1405, \r 1401, 1402, 1403-1404, 1406\r barriers 1399-1400\r buildings 1015-1016\r capacity building 1368\r climate finance and investment 1596-1598\r climate laws 1360, 1361-1363, 1362\r climate litigation 1375-1377, 1376\r co-benefits and trade-offs 1359\r coal phase-out 625-626\r coordinating climate governance 1410-1411\r coordination 1412\r cross-sectoral and economy-wide system change \r 1358, 1359, 1406-1411, 1412\r deforestation control 818-819\r development objectives 442-446\r development pathways and accelerated \r mitigation 414-415\r economy-wide approaches 1359, 1407, \r 1408-1409\r emissions targets 1363-1365, 1364, 1407-1408\r [...]"


id: 2c7afdaf1473b70919b340bcd83d22c4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 5092
content:
"[...] enabling conditions 1359, 1398, 1399-1400\r FAQs 1413\r food systems policies and governance 1291, \r 1292-1296, 1296-1297\r GHG mitigation commitments 1378-1379, \r 1379, 1381\r institutions and governance 1358, 1360-1370, \r 1411\r integrated climate-development action 1400-\r 1405, 1401, 1402, 1403-1404, 1406\r integrated policy packages for mitigation and \r multiple objectives 1359, 1394-1398, \r 1399-1400\r international interactions 1359, 1393-1394\r investment and finance 1321, 1561-1562\r just transitions 474, 475, 1561-1562\r land-use planning 1379-1380\r low-carbon sustainable transition 1395-1397, \r 1409-1410\r national development plans 451, 452, 453, \r 453-454, 1739\r national low emission strategies 430-435, \r 431-432\r Nationally Determined Contributions (NDCs) \r 1363-1365\r net zero energy buildings 440\r net zero targets 1363, 1407-1408\r networks 1369, 1378-1379, 1381, 1736, 1756, \r 1758, 1770\r participatory planning 1406\r partnerships 1380, 1381, 1406, 1736, 1770\r [...]"


id: 8fddd64b91f4d5fbaed86e8e1b9ad5fe
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 22520
content:
"electric vehicles (EVs) 1074, 1076\r electrification 900, 1257\r estimation methods 774-775\r food system 111, 803, 804, 1247, 1279, 1291\r fuels 1094-1095, 1096\r global AFOLU potential 775-777, 778\r green and blue infrastructure 905, 907-908\r hydropower 638, 638\r industry 345-346, 530, 1163-1164, 1189-1196\r informal settlements 884\r innovation 505\r land-based mitigation 774-777, 776, 778-779\r methane (CH4) 751\r net zero emissions targets 1408\r peatland conservation 785-786\r regional 777, 778, 955, 990-992, 991\r sectoral analysis and IAMs comparison \r 1257-1260, 1258, 1259\r service provisioning systems 505\r sharing economy 505, 543, 544\r shifting to sustainable healthy diets 803\r sub-national and non-state actions and policies \r 426-430, 427-428\r technology 1196, 1197-1198, 1249-1250\r transport sector 345, 530, 1087-1090, \r 1094-1097, 1096\r uncertainty 780, 1253\r of urban subnational actors 913-914\r urban systems 884, 890, 893, 897, 899, 905, \r 905-907, 907-908, 910, 913-914, 920, 921\r [...]"


id: f4dc6a362095285eca63980ed6c1c714
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 40446
content:
"[...] waste and waste management 910\r see also economic potential*; technical \r potential*\r mitigation scenarios* 304\r contributing models 1863-1864, 1866-1869\r design choices and assumptions 1873-1876\r feasibility 1876-1877, 1877\r global mitigation scenarios 1871\r types of climate change scenarios 1870-1872\r mitigation targets 411, 415-416, 423, 430-432, \r 431-432\r mitigative capacity 412, 452-453, 454, 455, 464, \r 468-469\r Mobility as a Service 1062\r models/modelling methods 1843-1862\r accounting models 1853, 1854\r applications 1853, 1853\r bottom-up models 1847, 1849, 1850, 1852, \r 1855\r building sector models 1848-1851, 1852, 1892\r characteristics 1863-1864\r climate model emulators 1856-1857, 1859, \r 1880\r comparison of mitigation and removal measures \r 1866-1869\r economic frameworks 359, 1845-1847\r energy system models 1847-1848, 1892\r evaluated GHG emissions 1865\r exploratory models 1853\r general equilibrium models 1844, 1845\r geographical coverage 1844\r hybrid models 1848, 1849\r [...]"


id: 722eeb34d909aa983af04b9835414808
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 17332
content:
"land-use modelling 1855-1856, 1858-1859\r model types and approaches 1843-1845, 1849, \r 1853, 1854\r multi-model studies 1871\r multi-regional models 1846\r optimisation models 1843, 1853, 1854\r partial equilibrium models 1844, 1845, 1854\r quantifying macroeconomic effects of mitigation \r 359\r recursive-dynamic models 1843-1844\r representation of demand 1849, 1854, 1854, \r 1855-1856\r representation of GHG emissions 1849\r representation of GHG emissions reductions \r 1856\r representation of mitigation options 1849-\r 1850, 1854-1855, 1856\r representation of SDGs 1742, 1850, 1860\r sectoral modelling 1847-1856, 1866-1869, \r 1892\r simulation models 1843, 1847, 1853\r top-down models 1847-1848, 1849, 1854-\r 1855\r transport models 1851, 1853-1854, 1853, 1892\r Moderate Action (ModAct) 309, 310-312, 313, \r 337, 811, 812, 1100, 1102, 1200, 1200\r cross-cutting implications 893\r emissions and energy characteristics 338\r emissions and warming characteristics 331\r [...]"


id: b2bd8b950ea8d77aabeb4121f3e61c7c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28688
content:
"[...] level of ambition and scenario features 174, 175\r physical and transition risk 1585, 1585\r quantitative scenario selection 1879\r storyline 175, 1878, 1878\r warming levels 307, 309, 331\r monetary unit conversion 1826\r monitoring, reporting and verification 760-761, \r 826, 1406\r Montreal Protocol 173, 271, 1459, 1496\r Morocco 1505\r Mozambique 1747\r multi-dimensional assessment 187-190\r multi-level perspective (MLP) 183, 1111, 1112, \r 1661\r multilateral development banks (MDBs) 1320, \r 1483-1484, 1505, 1560, 1588, 1595, 1605\r multilateral environmental agreements (MEAs) \r 1459-1460, 1496-1497\r multilevel governance* 153-154, 190, 461, 524, \r 1015, 1735, 1756\r coordinating climate governance 1367\r international cooperation 1453, 1495-1513, \r 1515\r international sectoral agreements 1503-1508\r sustainability transitions 1767-1768\r urban mitigation 912-913, 913\r multiplier effect 1319\r Myanmar 770\r N\r Namibia 1770\r narratives* see storylines*"


id: 4ebb034cf59640b7c6568470964986bc
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 11128
content:
"policy performance and effectiveness 1380-\r 1381, 1382-1384, 1385-1386, 1397\r policymaking and sustainable development \r 1733-1734\r public procurement and investment 1392\r public support 1369, 1372-1373\r sector transitions 1398, 1399-1400\r shaping climate governance 1358, 1370-1378, \r 1411\r shifting development pathways 1397-1398, \r 1399-1400, 1409\r strategies 1360-1361, 1363-1365, 1413\r structural factors 1370-1373\r sub-national actors 1358, 1367, 1369, \r 1378-1381, 1405, 1413\r sub-national institution building 1369-1370\r sub-national policies 271-272, 1378-1381, \r 1405\r sustainable development 1397-1398, \r 1400-1405, 1401, 1402, 1403-1404, 1406, \r 1733-1734, 1735-1736, 1764-1770\r systemic responses 1408, 1410\r technology and innovation 1669, 1682-1683\r transnational networks 1378-1379, 1380, 1381\r national development plans 451, 452, 453, \r 453-454, 1739\r national innovation systems (NIS) 1660\r national transition scenarios/pathways \r 1871-1872, 1891, 1891-1892\r [...]"


id: e6f46ecffb32d6562c9657c1f5e86736
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 37919
content:
"[...] national transport-energy models (NTEM) \r 1098-1099, 1100, 1101, 1110-1111, 1853, 1854\r Nationally Determined Contributions (NDCs) \r 14-15, 153, 156, 158, 165, 411, 698, 813, \r 1363-1365, 1453, 1464, 1474-1475, 1478, \r 1732-1733, 1739\r adaptation and mitigation 1402\r adaptation gap 426, 1574\r AFOLU sector 470\r conditional 411, 416, 422, 423, 1454, 1467, \r 1467\r current policies, NDCs and projected emissions \r 14-15, 14, 15-16, 70, 411, 416-423, \r 419-420, 421-422, 424-426\r economic impacts 170\r emissions gap 70, 411, 414, 422, 763, \r 1466-1467\r equity assessment frameworks 423\r evaluating 1466-1467\r fairness and ambition 423, 473, 1468\r financing 1472\r global mitigation scenarios/pathways 1871\r health co-benefits 376-377\r implementation gap 411, 414, 422-423\r implementing and achieving 422-423\r Intended Nationally Determined Contributions \r (INDCs) 415, 416, 1574\r internationally transferred mitigation outcomes \r (ITMOs), use of 1470, 1478\r investment and finance 1603-1604\r [...]"


id: 775ea1f82089b557719e1c0ccba406f7
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 18208
content:
"socio-technological pathways 441\r structural change 452, 463-465\r sub-national and non-state plans and policies \r 426-430, 427-428\r systemic solutions 442\r uncertainties 429-430\r see also accelerating mitigation; shifting \r development pathways*\r Nepal 244, 434, 451, 1766\r net negative emissions\r land/forest restoration and 1504\r net negative CO2 emissions 385\r and CDR 1261, 1262-1263, 1277\r long-term goal compatible mitigation \r pathways 299, 349\r modelled pathways 23-24\r overshoot and 354-355\r net negative GHG emissions* 323-324, 328, \r 385, 432\r and CDR 1261, 1262-1263, 1277\r timescales 1262-1263\r targets 1277\r Net Negative Emissions (IMP-Neg) 309, \r 310-312, 333, 333, 334, 334, 336, 337, 825, \r 1200, 1200, 1201, 1877-1879\r characteristics 175, 330, 338\r cross-cutting implications 893\r level of ambition and scenario features \r 174-175, 174\r limiting warming to 2degC (IMP Neg-2.0) 323, \r 333, 618, 811, 812, 823, 1879, 1879\r physical and transition risk 1585\r [...]"


id: 3fa7af0badc4f7ee73290cd84e6f24a5
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 8391
content:
"[...] quantitative scenario selection 1878, 1879\r storyline 175, 1878\r warming levels 307, 309, 330\r net-zero emissions 86-87, 194, 1363\r net-zero CO2 emissions* 327-329, 385, \r 430-432, 431-432, 433-435, 441, 914-915\r energy systems 28, 671-672\r industry 29, 1163, 1203\r Paris Agreement 1465-1466\r pathways and scenarios 18-20, 23-24, 23, \r 25, 27\r remaining carbon budgets and temperature \r goals 320-322\r renewable energy penetration and fossil fuel \r phase-out 1742-1744, 1743\r sectoral emissions strategies 337, 339\r timescales 1262-1263\r timing of 322, 324, 337, 339, 352, 354\r transport 1109-1110\r net-zero GHG emissions* 162, 174, 191, 325, \r 327-329, 430-432, 431-432, 433, 435, 441, \r 914-915\r buildings 31\r carbon dioxide capture and utilisation (CCU) \r 1186\r degree to which possible 1260\r energy systems 671-672\r hydrogen, role of 1184\r industry 29, 1166, 1167, 1184, 1196, 1754\r long-term goal compatible mitigation \r pathways 299, 385"


id: a6b9f3b8f12ab9afeff74217140360c7
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 26550
content:
"Moderate Action (ModAct) IMP 309, 337, 338, \r 893, 1200, 1200, 1585, 1585\r new and updated 421-422, 422\r Paris Agreement temperature goal 1465\r projected emissions 416-423, 419-420, 422, \r 424-426\r scenarios and pathways 309, 327, 349, 351, \r 355-356, 358\r sectoral strategies 418, 421\r trade-related measures 1500\r unconditional 416n, 422, 1467\r nature-based solutions* 469, 751, 774, 830, \r 902-903, 1309-1310, 1403\r investment and finance 1607-1609\r see also blue infrastructure*; green \r infrastructure*\r near- to mid-term mitigation and development \r pathways 69-76, 409-477\r adaptation and mitigation 468-471\r assessing pathways 454-455\r assessing projected emissions 416-418\r capacity building 468-469\r costs 444-445, 446, 446, 447\r costs and potentials 1252-1260, 1254-1256, \r 1257\r COVID-19 pandemic 421, 472\r development objectives 442-446, 451, 452, \r 453, 453-454\r distributional implications 445-446, 472\r effects of NDCs and current policies 416-424, \r 424-426\r [...]"


id: 63c49bf0fab818b71b8c25e1080adf3f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14845
content:
"[...] emissions and mitigation capacity 452-453, \r 454, 455\r emissions projections 418-424, 419-420, \r 424-426\r enabling conditions 459-464, 460\r equity and just transitions 415, 445-446, \r 472-474, 474, 475\r FAQs 477\r impact on economic growth 442-445, 443, \r 464-465\r impact on employment 445, 464-465\r implementation gap 422-423\r interaction with long-term pathways 349-358, \r 350, 352, 353\r and long-term temperature goals 424-426, \r 431, 477\r mid-century emission pathways 430-435, 434\r national development plans 451, 452, 453, \r 453-454, 1739\r national low emission strategies 430-435, 431\r net zero targets 430-432, 431-432, 433-435\r obstacles to accelerated mitigation 446-447, \r 446, 447\r policies 444, 455-459, 455, 460-463, 464-468\r policy integration 450, 457, 458, 461, 465-468\r risks and uncertainties 471-472\r scenario analysis 448-449, 448\r sectoral emissions reduction potential 427-428, \r 433-435\r sectoral mitigation potentials 1252-1260, \r 1254-1256, 1257\r [...]"


id: ef5915236922a870dc8c436826cb4c72
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 39478
content:
"AFOLU emissions 253, 756, 756, 759, 765, 766\r AFOLU mitigation potential 781, 782, 784\r AFOLU removals 760\r buildings emissions 250, 250, 251, 964, 965, \r 966, 968\r embodied emissions 978\r reduction potential 970\r buildings energy demand 971, 973, 973, 974\r buildings mitigation potential 955, 988, 989, \r 989, 991\r climate change impacts on energy supply 667, \r 668\r coal use and phase-out 624, 626\r consumption-based emissions 243\r emissions embodied in trade 245\r emissions trends and drivers 233, 234-235, 236, \r 238, 246\r energy investment needs 1571\r energy sector emissions 248, 620, 621, 622\r energy system 246, 247\r fire regimes 770\r forest and forestry 767, 770, 817\r grassland conversion 784\r industry emissions 248, 249\r nuclear power 640\r per capita floor area 969\r renewable energy capacity 627\r transport 251\r transport demand 1101-1103, 1102\r transport emissions 252, 1055, 1056\r transport modal trends 1104\r trends in energy use 623\r urban land use trends 883, 884\r [...]"


id: 7b902dca913d9cec8598596e25fbf4a0
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 18946
content:
"[...] urban population and urban expansion 883, 883\r voluntary offsets 814\r see also Canada; United States of America (USA)\r North-South technology transfer and \r cooperation (NSTT) 469, 1502\r Norway 256, 270, 1373, 1501, 1503, 1766\r nuclear power 438-439, 639-641\r costs 640, 662\r governance and institutions 681\r land occupation, impacts and risks 1303\r levelised costs of electricity (LCOE) 640, 662\r safety risks and public support 640-641\r synergies and trade-offs with SDGs 1761\r trends in electricity generation 627"


id: ebe7a4d9a6089548bd682ced461bc498
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 38868
content:
"need for CDR to achieve 1247, 1261, \r 1262-1263, 1277, 1277-1278, 1322\r Paris Agreement 1465-1466\r pathways and scenarios 23-24\r sectoral emissions strategies 339, 340\r timescales 1262-1263\r timing of 324, 339, 340\r transport 1109-1110\r urban systems 30\r pathways 1204, 1206\r scenarios 535, 536\r sectoral and regional aspects 328-329\r targets 328-329, 430-432, 431-432, 433-435, \r 1359\r timing 322, 324-329, 325-329, 330-332, 337, \r 339, 340, 352, 354, 686, 687-688\r Net Zero Emissions by 2050 Scenario (NZE) \r 964-965, 965-967, 968-974, 995, 1201, 1202, \r 1203\r net-zero energy (NZE) buildings 440, 981, 982\r net-zero energy systems 615, 617-618, 671-684, \r 678\r 100% renewable 674, 675-676\r alternative fuels 677-678, 679\r barriers 677-678\r carbon dioxide removal (CDR) 681\r characteristics 672, 673-674\r costs 677-678, 704\r definitions 619\r difficult-to-electrify sectors 677-678, 678\r electricity emissions 674-675\r electrification of end uses 676-677\r energy efficiency and demand reduction \r [...]"


id: 75fb948f311256322504b1750c6783e0
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 17981
content:
"[...] 679-680\r fossil fuels 672-674\r governance and institutions 681-682, 682\r hydrogen 677-678, 679, 684\r Illustrative Mitigation Pathways (IMPs) 689-691\r integrated energy systems 680-681\r regional factors 682-684, 684-685\r timing of net-zero emissions 686, 687-688\r net-zero energy targets 439-440, 440\r Netherlands\r accelerated mitigation pathways 438\r ASI behaviour 548\r bioenergy policies 818\r buildings 994-995\r climate litigation 1376, 1376, 1377\r consumption-based emissions 243\r energy supply transitions 256\r Green Public Procurement (GPP) 1673\r services for well-being 515\r networks 914, 1369, 1378-1379, 1381, 1512-\r 1513, 1736, 1756, 1758, 1770\r New Zealand\r carbon markets 813-814\r carbon trading 815\r food system emissions 803\r geothermal energy 648\r international cooperation 1501\r see also Australia, Japan, and New Zealand\r nexus approaches 866, 1317, 1317-1318, \r 1402-1403, 1751, 1769-1770"


id: 70ba1ee1b33d2046943551653b861359
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 17092
content:
"energy-growth nexus 512-514\r energy-water-land nexus 1859\r see also water-energy-food nexus\r Niger 820\r nitrogen fertiliser 771, 772, 789\r nitrogen oxides (NOx) 441, 1086-1087, 1089, \r 1093, 1094\r air pollution 232, 233\r contribution to warming 225\r emissions trends and drivers 232, 233\r energy sector emissions 623\r nitrogen trifluoride (NF3) 221, 224, 229, 1390, \r 1831\r nitrous oxide (N2O)*\r accounting methods 756\r AFOLU emissions 750, 751, 753, 764-766, 764, \r 765, 771, 793-794, 795-796, 806-807, \r 806, 821\r AFOLU emissions reduction 346, 346\r AFOLU mitigation potential 808, 809, 810, 811\r AFOLU net GHG emissions 756-758, 756, 757\r agricultural emissions 771, 789, 794, 795-796, \r 821\r annual global emissions 223\r atmospheric lifetime 1831\r buildings emissions 955, 963\r coastal wetland emissions 788\r contribution to warming 225\r emission trends 7, 160, 794\r emissions datasets 1831, 1832-1833\r emissions growth 228-229, 229\r emissions reduction policies 1390\r emissions trends 160, 228\r [...]"


id: b3bf1ce764f52d5a490cc63128f061
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28868
content:
"[...] emissions trends and drivers 221\r emissions uncertainties 222, 224\r fire emissions 783\r food system emissions 1281, 1282, 1283\r global warming potential (GWP) 1831\r Illustrative Mitigation Pathways (IMPs) 26, 811, \r 812\r manure emissions 795-796\r peatland emissions 785, 786\r residual emissions 328\r rice cultivation emissions 793\r scenarios and pathways 17, 24, 318, 319\r soil emissions 789, 790, 794\r sources 755, 1832-1833\r timing of net zero emissions 324\r non-Annex I countries 1823\r non-economic loss and damage (NELD) 1498\r non-governmental organisations (NGOs) 186, \r 1508\r non-methane volatile organic compounds \r (NMVOC) 225, 232-233, 232\r non-OECD countries 245, 247, 251, 254, 1176\r non-overshoot pathways* 14-17, 14, 15-16, \r 18-19, 23-25\r Non-State Actor Zone for Climate Action \r (NAZCA) later Global Climate Action 158\r non-state actors (NSAs) 4, 411, 426-430, \r 427-428, 912-913\r North America 1823, 1824\r accelerated mitigation pathways 435"


id: b23da4e8ef94e93c87e5cef1a3374f27
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28588
content:
"international shipping and aviation emissions \r 1506\r investment and financing strategies 1471-1472\r 1483, 1484, 1553\r key features 1463-1464, 1463, 1474-1475\r long-term goal 424-426\r loss and damage 1498\r means of implementation and support \r 1471-1474, 1481, 1482\r capacity building 1473-1474, 1487-1488\r finance flows 1471-1472, 1482-1485, \r 1485, 1487\r market-based mechanisms 1488\r technology development and transfer \r 1472-1473, 1485-1487\r meeting goals 477, 1738-1739, 1771\r mitigation and adaptation 1497-1498\r mobilising capital 1602-1606\r multi-level, multi actor governance 1495-1496\r multilevel governance 912-913\r national net zero targets 1465-1466\r Nationally Determined Contributions (NDCs) \r 1464, 1465, 1466-1468, 1467, 1474-1475, \r 1478\r negotiation context and dynamics 1455, \r 1462-1463\r non-state actors 1508-1509\r Paris Rulebook 1466, 1468, 1469, 1472-1473, \r 1474, 1478, 1487, 1506\r REDD+ 1503\r supplementary means and mechanisms of \r implementation 1481-1495\r [...]"


id: 32736785336a45da6553ab7cd0330d10
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 6131
content:
"[...] and sustainable development 1471\r technology development and transfer 1701\r temperature goal 1453, 1454, 1464-1465, \r 1474, 1478, 1489-1490, 1504, 1517\r transformative potential 1477\r transparency framework 1464, 1468-1469, \r 1472, 1473, 1475, 1478\r transport 1115\r see also Nationally Determined Contributions \r (NDCs)\r aris Committee on Capacity-building (PCCB) \r 1687\r articipatory governance* 461-462, 525, 556, \r 564, 1304, 1406\r articulate matter (PM)* 441, 873, 1077, 1491, \r 1740\r ath dependence* 188, 350-351, 696, 697-698, \r 1767\r athways* 17-37, 156, 174\r accelerated action 298, 356-358, 357\r accelerating sustainable transitions 1739-1742\r carbon dioxide removal (CDR) in 24-25\r climate-resilient pathways* 1401, 1757, 1758\r cross-sector linkages 336-341\r following NDCs 298, 327, 349, 351, 352, 353, \r 355-356, 358\r immediate action 298, 349, 353, 354, 356, 357, \r 358, 360-361\r limiting to 1.5degC 298-299, 300, 324, 325, 326, \r 327, 328, 329, 332, 337, 349"


id: 711f060ddbdf4d69e027a4c171cebd3b
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 17162
content:
"limiting to 2degC 236, 298-300, 324, 325, 326, \r 327, 328, 329, 332, 337, 349, 351\r long-term temperature pathways 424-426\r low carbon development pathways 1739-1742\r low energy and resource demand 535-538, \r 536-537\r national emission pathways 431, 432, 433-435, \r 434\r participatory 535\r reference pathways 309\r sectoral analysis 342-348\r sustainable development 178, 179\r sustainable development pathways for \r decarbonisation 1739-1742\r transition pathways 411, 506, 535, 1729, \r 1748-1749, 1770\r distributional effects 412\r sustainable 705, 1734\r see also specific sectors\r payment for ecosystem services (PES) 815-816\r peak warming 1874-1875\r peatlands 785-786\r carbon emissions 760\r costs and potentials 1274\r restoration 786, 1274, 1276, 1750\r perfluorocarbons (PFCs) 221, 224, 229, 1390\r peri-urban areas* 263, 910, 1079\r permafrost thaw 785\r permanence 821\r personal carbon footprint (PCF) 255, 452, 872\r Peru 785\r Philippines 262, 452, 626, 905\r [...]"


id: 947ab6c6202a16cfae7258a063e7df07
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 23329
content:
"[...] plastics 1163, 1179, 1186, 1192, 1193, 1194, 1204\r Poland 626, 870\r policies (for climate change mitigation and \r adaptation)* 13-14, 125-131, 156, 269-271, \r 1358-1359, 1381-1384, 1412\r accelerating mitigation 412-413, 444, 460, 461\r accelerating transition 564, 1735-1736, \r 1764-1770\r acceptance and support for 446, 466, 556, \r 1372-1373, 1384, 1389\r adaptation and mitigation 469\r adverse side-effects 1383-1384, 1383\r attribution analysis 1479-1481\r for behavioural change 565, 566-567, 566\r behavioural instruments 1295\r bioenergy 818\r CDR governance and policies 1277-1279, \r 1277-1278\r co-benefits 1359, 1383-1384, 1383, 1385, \r 1387, 1400-1403\r for coal transition 1743, 1744\r coherence 1221-1222, 1733, 1736, 1769\r complementarity 507\r comprehensive multinational evaluations \r 269-270\r consumption-based emissions policy applications \r 239, 239-240\r consumption-oriented instruments 1391\r coordinated policy approaches 42, 1249\r costs 362-363\r coverage 13, 1382, 1382"


id: d89af7c710de229b216d0ea63100020c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 35399
content:
"Pacific Climate Warriors 1508-1509\r Pakistan 1741\r palm oil 818, 1293-1294, 1295, 1750\r Papua New Guinea 783\r Paris Agreement 13, 48, 153, 155, 156, 158-159, \r 165, 167, 172-173, 1453, 1455, 1462, \r 1732-1733\r 1.5degC temperature goal 1745\r accountability 1468-1469\r agriculture and sustainable development 816\r ambition cycle 1464, 1465, 1475, 1478\r arguments for and against 1462-1463, 1513\r aviation emissions 1092-1093\r co-benefits 1477\r compliance 1700\r context and purpose 1464-1466\r cooperative approaches 1470-1471\r differences to Kyoto Protocol and UNFCCC \r 1461, 1462\r distributive outcomes 1477\r economic performance 1477-1478\r effectiveness 1459, 1476-1478, 1515, 1516\r engagement of financial sector in Climate \r Agenda 1555-1556\r environmental effectiveness 1476-1477\r equity, fairness and just transitions 423, 474, \r 1465, 1468\r FAQs 1517\r framing concepts for assessing 1456-1458\r GHG mitigation targets 431, 431-432\r global stocktake 1469, 1475\r implementation and compliance 1474\r [...]"


id: 47855c36bb522ea1809c61bd5ce004aa
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 9799
content:
"policy-action gap 878-879\r policy attribution 1479-1481\r policy classification (scenarios) 1889, 1891\r policy integration 272, 1221-1222, 1248, 1359, \r 1394-1398, 1399-1400\r accelerating mitigation 461, 464-468, 471, \r 1359, 1394\r accelerating transition 1731, 1733, 1736, 1758, \r 1759, 1769\r climate change and sustainable development \r 1732-1734\r enabling conditions 412, 460, 461\r food system transformation 1291, 1292, \r 1296-1297\r frameworks 1736\r implementation 1758, 1759\r integrated climate-development action 1400-\r 1405, 1401, 1402, 1403-1404, 1406\r for mitigation and multiple objectives 1359\r near- to mid-term mitigation and development \r pathways 450, 457, 458, 461, 465-468\r for shifting development pathways 412, 461, \r 464-468\r and sustainable development 1405, 1732-1734, \r 1736\r policy packages 46-47, 569-570\r buildings sector 31, 956, 1007-1008, 1017\r combining climate and development policies \r 460-461, 464-468, 471\r economy-wide 46-47\r [...]"


id: 61ce249bc01fa8e9ba9aa0790b713d8e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14493
content:
"[...] innovation and low-emission technology 11\r investment and finance 1587-1588\r low-carbon energy transition 700-701\r mitigation and multiple objectives 1359, 1394, \r 1397-1398, 1399-1400\r political actors 1373\r political economy* 169-170, 186, 1685\r accelerating sustainable transitions 1735-1736, \r 1743, 1748, 1768, 1770\r carbon pricing 189, 467, 628, 1588\r energy system policy mixes 701\r fossil fuels and low carbon transition 1567, \r 1581\r pollution see air pollution*\r polycentric governance 190, 524, 1015, 1304, \r 1495, 1513\r population\r global trends 160\r growth 217, 245-247, 452, 622, 773, 827\r projections 313, 314\r scenarios 308, 309\r Portugal 803, 908\r poverty* 162, 163, 180, 824-825\r climate governance 1405\r COVID-19 pandemic 512\r development pathways and emissions 453\r distributional effects of mitigation 445-446\r just transitions 474\r pathways and scenarios 372-373\r urban areas 876\r power sector\r accelerated decarbonisation 436-439, 436-437"


id: 8652754389518411e24dcceb183cc9c9
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 20792
content:
"limiting emissions of non-CO2 gases 1390\r litigation 1375-1377\r low-carbon technology 256\r low-carbon urban development 913\r market-based instruments see economic/market\u0002based policy instruments\r media and policy process 1377-1378\r natural ecosystems 785\r non-climate policies 271-273\r opposition to 1374, 1375\r other policy instruments 1380, 1381, \r 1391-1392\r packages see policy packages\r performance 1380-1381, 1389\r policy analysis with IAMs 1859-1861\r policy design 444, 463, 507, 569\r policy process\r actors and agency in 1373-1375, \r 1378-1379\r approaches to policymaking 1394-1395, \r 1395, 1398\r structural factors and 1370-1373\r pollution abatement policies 271-272\r public policies 460, 464, 467-468\r public procurement and investment 1392\r and quality of life 509-510\r resistance to 165, 1397\r sectoral 270-273, 700, 1316-1317\r sequencing 569-570, 1397\r shifting development pathways 412, 450, 455, \r 455, 456-457, 458, 461, 1359, 1397-1398, \r 1399-1400\r short-term policies 1397\r [...]"


id: cd9c67e22b4a44e6ee58aef5b832e31
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 33508
content:
"[...] social equity and emissions reductions 524-525\r socio-technical transitions 1359\r soft policy instruments 1670, 1671\r stakeholder engagement 1215, 1373-1375, \r 1378-1379\r at sub-national and city levels 1378-1381, \r 1512-1513\r sub-national and non-state actors 426-430, \r 427-428\r and sustainable development 153, 154, 372, \r 372, 1400-1401, 1406, 1749\r for sustainable low-carbon transition 1395-\r 1397, 1396-1397\r synergies and trade-offs 1316-1317, 1317-\r 1318, 1359, 1400-1403, 1401, 1404, 1406\r systemic transformations 1667-1669, \r 1667-1668\r for technological change 256, 1386, 1670, 1671\r technology and research and development \r 1387, 1392, 1394\r technology spillovers 1394\r transformative potential 1383-1384, 1383\r transition support policies 1391\r understanding mitigation response strategies \r 186-187\r urban mitigation strategies 900\r voluntary actions and agreements 818, 1392\r for well-being 521-524\r see also national and sub-national policies and \r [...]"


id: bb78b8baea35c14b8907c7ab707eb96c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 30203
content:
"cross-sectoral implications 1248, 1316-1317\r cross-sectoral integration 910-911\r cross-sectoral policies 42\r current policies, NDCs and projected emissions \r 14-15, 14, 15-16, 411, 416-423, 419-420, \r 421-422, 424-426\r development 45-46, 812-815, 813\r distributional effects 445-446, 1383-1384, \r 1383, 1386, 1387\r drivers and politics 1670, 1671\r economic see economic/market-based policy \r instruments\r economy-wide approaches 1359, 1408-1409\r effectiveness 1382-1386, 1396-1397, 1397, \r 1398\r in emissions assessment models 417-418\r enabling food system transformation 1291-\r 1295, 1291, 1296-1297\r energy systems 697\r enforcement 1016\r evaluation and assessment 1381-1394\r economic effectiveness 1383-1384, 1383, \r 1385-1386\r economic instruments 1384-1388\r environmental effectiveness 1383-1384, \r 1383, 1385\r evaluation criteria 1383-1384, 1383\r regulatory instruments 1388-1391, \r 1390-1391\r stringency 1382-1383, 1383\r failure 471\r future policy 701\r and gender equity 525-527\r [...]"


id: c11522028c948434e8829cbb599a44c1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 31272
content:
"[...] GHG emission metrics 226-228\r and global emissions 155\r housing policy 466-467\r ideas, values and beliefs 1372-1373\r impacts 171-172\r on emissions 13, 269-273\r on GHG mitigation 1479-1481\r on global mitigation 1380-1381\r on national development objectives \r 442-446\r on stakeholders 1015-1016\r implementation 45-46, 525, 1373-1374\r industrial decarbonisation 1211-1223\r informal sector 564-565\r informative instruments 1010, 1294-1295, \r 1391-1392\r innovation instruments see innovation policy \r instruments\r institutional requirements 1383-1384, 1383\r integrated see policy integration\r interactions 701, 1396-1397, 1396-1397\r cross-sectoral perspectives 1316-1317, \r 1317-1318\r international interactions of national policies \r 1393-1394\r sectoral policy interactions 1316-1317, \r 1317-1318\r international policymaking process 1732-1734\r land-use planning and policy 815-818, \r 1379-1380"


id: bd5d4ad36402c6cc0a6872cf051957ac
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 30564
content:
"COVID-19 pandemic and emissions 230-231, \r 230\r decommissioning fossil fuel infrastructures 267, \r 268-269\r emissions 16, 230-231, 230\r emissions trends and drivers 230-231\r future CO2 emissions from fossil fuel \r infrastructure 267\r integration with industry 1206-1207\r integration with transport 1115\r land occupation, impacts and risks 1298, \r 1302-1303\r net negative emissions 433-434\r policy impacts 270\r thermal power plants 665, 668\r thermoelectric power generation 1752-1753\r power to fuels (PtX) 656, 675\r primary energy*\r accounting 1828\r decarbonising 688-689, 688\r fossil fuels use and phase-out 698-700\r Illustrative Mitigation Pathways (IMPs) \r 333-334, 333, 334\r scenarios and pathways 341, 342, 342\r total primary energy supply (TPES) 622, 622, \r 623\r transition indicators 693\r private procurement 1218-1219\r production-based emissions* 9, 10-11, 235, \r 239, 240\r decoupling 242-244, 242, 243\r electric vehicles (EVs) 1076\r emissions embodied in trade 244-245, 244\r [...]"


id: 7cbc78fdbb19f0a2f0a0393586d53a9e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 19141
content:
"[...] internal combustion engine (ICE) vehicles 1076\r urbanisation and 255\r Property Assessed Clean Energy (PACE) 1012\r property rights see land and property rights\r prosumers* 521, 900, 1014\r psychology 185-186, 1729, 1736-1737\r public policies 460, 464, 467-468\r public-private partnerships (PPPs) 1510, \r 1511-1512, 1597\r public support/acceptance 1358-1359\r bioenergy 646\r carbon capture (CCU and CCS) 642-643\r fossil fuels 648\r geothermal energy 649\r hydropower 639\r low-carbon technological change 1696\r mitigation policies 446, 466, 556, 1372-1373, \r 1384, 1389\r nuclear power 640-641\r solar energy 633\r for sub-national climate institutions 1369\r wind energy 637\r pulp and paper industry 1164, 1195-1196, 1197\r pumped hydroelectric storage (PHS) 654\r pyrolysis 658, 1301-1302"


id: e0be50a252b3d648673c15d119eaa3ae
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 36799
content:
"see also standards and labelling\r ative decoupling 242, 243, 243, 247, 452, \r 512-513, 923\r gion 557\r mote sensing 760-761, 826\r ewable energy (RE)* 167, 168\r 100% renewable energy systems 332-333, 616, \r 674, 675-676, 707\r accelerated mitigation pathways 436, 436-437\r adaptation and mitigation 1401\r buildings on-site energy generation 981, 982, \r 987, 1013-1014\r climate finance 1564\r climate governance and institutions 1367\r co-benefits and side-effects 1743\r cost reductions 258, 1589\r costs 165, 168\r critical minerals 1116, 1116-1117\r cross-sectoral implications 1317-1318\r decentralised 1766, 1767\r district energy networks 981\r eco-industrial parks 1180\r for electrification of urban energy systems 873, \r 875\r energy system models 1847\r feed-in tariffs 1013-1014, 1387, 1388, 1587, \r 1676, 1736\r and fossil fuel phase-out 1742-1744, 1743, \r 1745, 1771\r governance 1304\r household consumption and behavioural choices \r 263\r impact of climate change 1752-1753\r impact on climate 670-671\r [...]"


id: 94dd3971e07a0105f7f23d8704e72898
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 23398
content:
"[...] international cooperation 1500, 1505, 1506, \r 1510\r investment and finance 1013-1014, 1505-\r 1506, 1589, 1656\r investment gap 1576\r land occupation 1298-1299, 1302-1303, 1304\r levelised cost of energy (LCOE) 1589\r novel technologies 1766\r penetration 675, 676, 1742-1744, 1743, 1745, \r 1771\r policies 1387, 1388, 1389, 1682, 1683, 1767\r policy impacts 171\r policy implementation 1015\r policy sequencing and packaging 569\r production and demand trends 622, 622\r regulatory instruments 1387, 1388, 1389\r replacing coal 624\r rural areas 1769\r scenarios and pathways 341\r solar PV 557\r subsidies 628, 629, 1387\r technology 623\r conversion technologies 1752\r improvement 257, 258, 259\r international cooperation 1684\r investment and finance 1568, 1664, 1665, \r 1665-1666\r systemic failures 1661, 1662\r technology and costs 623"


id: 173781f14e3f12be7d6b44f8d48654e9
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 1301
content:
"from HFCs 439\r hydropower and albedo 1303\r from shipping 1094\r SLCFs uncertainties 1496\r solar radiation modification and 1493, 1494\r urban emissions 875\r rapid energy transitions 218-219\r rapidly growing economies 260, 262\r rebound effects* 246, 263, 531, 532, 1007\r digitalisation 538, 539-540, 540, 1645, 1760\r sharing economy 543, 544\r technology and innovation 1644\r recombinant innovations 1651\r recycling 545, 909-910\r batteries 1053, 1069, 1120, 1744\r building materials 902\r chemical recycling of plastics 1193\r electrification technology 901\r extended producer responsibility (EPR) 1220\r industrial sector 1170-1171, 1179, 1193\r material recycling 901, 1170-1171\r photovoltaic (PV) modules 632-633\r wastewater 876\r see also circular economy*\r REDD+ (Reducing Emissions from Deforestation \r and Forest Degradation)* 812-813, 815-816, \r 1404\r biodiversity and ecosystem co-benefits 1497\r co-benefits and trade-offs 1402, 1402, 1497\r international cooperation 1503-1504\r [...]"


id: 9bf35244c3a9dce19dfdbcf561c8261
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 24689
content:
"[...] investment and finance 1608\r Nationally Determined Contributions (NDCs) \r 421\r Paris Agreement 1469-1470, 1503\r public-private partnerships (PPPs) 1510\r redox flow batteries (RFBs) 656\r 'Reduce, Reuse, and Recycle' 1181-1182\r reduced complexity climate modelling 316, 317, \r 1856-1857, 1859\r Reducing Emissions from Deforestation and \r Forest Degradation see REDD+\r reference scenarios* see baseline/reference \r scenarios*\r Reference Technology Scenario (RTS) 1201, 1202\r reforestation* 323, 780-781, 826\r see also afforestation/reforestation (A/R)\r Reforming Economies of Eastern Europe and \r the Former Soviet Union (REF) 806, 807, 807, \r 810, 811\r refrigeration 1280-1281, 1290, 1662-1663\r regenerative agriculture* 798\r regional innovation systems (RIS) 1660\r regreening 816, 820\r regulatory analysis 1391\r regulatory carbon markets 814-815\r regulatory policy instruments 46, 1008-1010, \r 1293-1294, 1359, 1379, 1381, 1388-1391, \r 1390, 1670, 1671\r accelerated action pathways 358\r [...]"


id: f13481dee4bf47b7c7f870d1fc5c0c91
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 39823
content:
"[...] energy audits 1009-1010\r energy policy in developing countries 628\r fuel efficiency 1677-1678\r land use regulatory approaches 816-818"


id: f3e8053f640663a5e95ac632afe3deb5
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 40290
content:
"future urban GHG emissions 863, 890-894, 890, \r 891, 892, 926\r future urbanisation 887-890, 888, 889\r global mitigation scenarios 1871, 1883-1889, \r 1883, 1884-1888, 1890, 1891\r global warming levels 21-23\r harmonisation 1879, 1889\r high-end emissions 317, 323, 385\r immediate action 351, 352, 353, 354\r industry 1188, 1198-1206\r infilling 1879-1880, 1889\r International Energy Agency (IEA) scenarios \r 964-965, 965-967, 968-974, 1101, \r 1201-1203, 1202, 1204, 1206, 1251-1252, \r 1252, 1741\r limiting to 1.5degC 32, 330, 332, 431, 433-435, \r 1742\r timing of net zero emissions 324, 325-327, \r 328, 329\r limiting to 2degC 330-331, 332, 1247, 1258, \r 1261, 1875\r timing of net zero emissions 324, 325-327, \r 328, 329\r long-term mitigation 535, 536-537\r low carbon scenarios 378-382, 1101\r low demand scenarios 535-538, 536-537\r Low Energy Demand (LED) 375, 441, 508, \r 509, 535, 536, 970, 1202, 1203, 1735, \r 1740\r Resource Efficiency and Climate Change-Low \r Energy Demand (RECC-LED) 964-965, \r [...]"


id: 6a8054ac30a633bc9563c9424d7204cc
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 16022
content:
"[...] 965-967, 968-974\r material efficiency (ME) in 892, 1178-1179, \r 1203, 1204, 1205, 1206\r mid-century emission pathways 433-435, 434\r mitigation scenarios 304\r model limitations 538\r national transition 1871-1872, 1891, \r 1891-1892\r no-climate-policy reference scenarios 303-304\r policy assumptions 1875\r policy categories 307, 309\r policy scenarios 1099, 1101\r projected emissions assessment 417\r purpose of scenarios 1870\r reduction rates 236, 236\r reference scenarios see baseline/reference \r scenarios*\r regional 1891, 1891-1892\r scenario frameworks 1872-1873\r sector transition 1872, 1892, 1892\r service provisioning 570\r service transition 1872\r shipping 1097-1098, 1098\r socio-economic drivers of emissions 313-315, \r 314\r SRM deployment 1489-1490, 1492\r SSP-RCP urban emissions 891, 892, 893-894\r storylines 175, 309, 1658, 1873, 1875, 1878, \r 1878\r sustainable development 1740-1741\r technology focused sector-based 1188, \r 1198-1199, 1201-1206"


id: caf051ef5149342ec7270f2d613b84af
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 33042
content:
"resource cascade* 527, 533-534, 533\r resource processing systems 533-535, 533\r response capacities 1729, 1730\r reversible hydrogen fuel cells (RHFCs) 656\r rice cultivation 771, 789, 793, 806, 1698\r risk* 1828-1830\r carbon dioxide removal (CDR) 1266-1267, \r 1268, 1269, 1270-1271, 1274, 1275-1276\r climate change 42, 169, 180-181, 547\r climate-related financial risk 169, 1549-1550, \r 1555-1556, 1580-1585, 1590\r assessments 1567, 1580\r risk pooling and insurance 1594-1596\r perception of 547\r shifting development pathways and accelerating \r mitigation 471-472\r socio-economic risks of mitigation land \r occupation 1299-1304\r solar radiation modification (SRM) 1489, \r 1490-1493, 1494-1495\r risk assessment* 157, 1580, 1581-1583\r risk management* 157, 1595, 1596, 1829\r road construction 768, 769\r road transport see transport\r rural communities/households 795, 1001, \r 1003-1004, 1654\r Russia\r accelerated mitigation pathways 437\r AFOLU mitigation potential 781\r [...]"


id: c616dbef1973c580e3b113852fd430f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 32162
content:
"[...] energy-related CO2 emission pathways 434\r energy sector 437, 1320\r forest and forestry 767, 782\r non-CO2 emissions 1390\r Paris Agreement 1462\r stranded assets 355\r Rwanda 1113, 1697"


id: a8c29a35b06ea06570cdf7e0af2659
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 26899
content:
"unit costs and adoption 11, 12, 89\r urban systems 899-900\r see also specific types\r renewable energy sources (RES) 981, 987, \r 1013-1014\r Renewable Portfolio Standards (RPS) 1013-\r 1014, 1388, 1389, 1677\r renewable resources geographical distribution \r 1164, 1184\r Renewables (IMP-Ren) 309, 310-312, 333, 333, \r 334, 337, 811, 812, 824, 825, 1200, 1200, \r 1877-1879\r characteristics 175, 330, 338\r cross-cutting implications 893\r level of ambition and scenario features \r 174-175, 174\r limiting warming to 2degC (IMP Ren-2.0) 323, \r 333, 617, 1879, 1879\r physical and transition risk 1585\r quantitative scenario selection 1879\r storyline 175, 1878\r transport sector 1109-1110, 1110-1111\r warming levels 307, 309, 330\r Representative Concentration Pathways (RCPs)*\r 305, 317, 891, 892, 893-894, 1872, 1873, 1874\r research and development (R&D) 464, 1216-\r 1217, 1472, 1648-1649, 1648, 1650-1651\r AFOLU sector 773, 1684\r block funding 1674\r carbon dioxide removal (CDR) 1277, 1277-\r 1278, 1278\r [...]"


id: 9bdc40b0013731aaec89387d6c21093e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 24675
content:
"[...] direct air carbon dioxide capture and storage \r (DACCS) 1266\r energy sector 700, 1664-1665, 1664, 1672, \r 1674-1675, 1675\r innovation indicators 1664-1665, 1664, \r 1665-1666\r international cooperation 1656, 1675, 1684, \r 1685, 1687-1688, 1689\r policies 700, 1392, 1394\r private funding 1665, 1672\r public funding 1392, 1644, 1664, 1669, 1672, \r 1673, 1674-1675, 1674-1675\r research subsidies 1387\r solar radiation modification (SRM) 1493-1494\r tax credits and incentives 1672\r research, development and demonstration \r (RD&D) 1222-1223, 1664\r CDR methods 1277-1278\r energy-related investment 1664-1665\r impact of public investments 1672, 1675\r international cooperation 1685, 1687-1688, \r 1689\r research, development, and innovation (RDI) \r 1216-1217\r resilience* 1400, 1474, 1729, 1757\r buildings sector 997\r ecosystems 1504\r energy systems 652, 653-654, 669\r investment and finance 1578-1579\r national development plans 451\r urban systems and other settlements 877-879, \r 880"


id: 28b05f5cd5d32b0d354db557f66bfd07
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 4372
content:
"and aviation 1086-1087, 1089\r contribution to warming 225, 232, 349-350, \r 350\r efficient cooling and refrigeration 439\r emission metrics 226, 227\r emissions scenarios and pathways 319\r emissions trends and drivers 232-233\r emissions uncertainties 225\r international cooperation 1496\r targets 441-442\r Siberia 770\r Singapore 1390\r sinks* 8n\r AFOLU sector 755, 760, 761, 762-763\r anthropogenic 755, 762-763\r capacity 760\r effect of solar radiation modification (SRM) \r 1492\r enhancement through restoration 1504\r forestry sector 1504\r natural land sink 757, 758, 760, 826\r Paris Agreement 1469-1470\r small and medium-sized enterprises (SMEs) \r 1179, 1180, 1569\r Small Island Developing States (SIDS)*\r adaptation and mitigation 1401, 1686\r agroecology 1697-1698\r capacity building 1473-1474, 1686, 1687\r cumulative historical emissions 9\r early warning systems 1686\r GHG emissions 233, 235\r local capital markets 1606\r loss and damage 1498\r Paris Agreement 1462-1463\r per capita GHG emissions 9\r [...]"


id: ec9854eab11bab3d1dd4363a562dc578
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 38984
content:
"[...] smart charging strategies 1072-1073\r smart energy systems 899, 900, 1182, 1760, 1761\r smart grids* 660, 900\r smart mobility 1062-1063, 1062, 1653\r smart packaging 1290\r smart technology 565-566, 1062, 1062\r social aspects of mitigation see demand, \r services*, and social aspects of mitigation\r social contagions 1737\r social cost of carbon (SCC)* 157, 365, 455\r social costs* and benefits 661-662\r social discount rate 1846-1847\r social-ecological system* 1737-1738, 1757\r social inclusion* 1729\r social influence/influencers 506, 547, 702\r social innovation 170-171, 1647, 1766-1767\r social movements 463, 556-557, 1508-1509, \r 1765\r climate activism 525, 1375\r climate populism 524\r collective action 506\r divestment movement 1744-1745\r influence on climate policy 1374-1375\r just transitions 473, 474\r youth movements 506, 525, 557, 1375, \r 1508-1509, 1765\r social networks 1765\r social norms 263-264, 463, 506, 555-556"


id: 5df0fdc5884bf41db23fb159473e32c1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 13830
content:
"land-based mitigation 806\r socio-economic drivers of emissions 313-315, \r 314\r urbanisation and GHG emissions 887-890, 888, \r 889, 891, 892, 893-894\r sharing economy* 538, 539, 541-543, 544, \r 558-559, 924, 1760, 1761\r accelerated mitigation pathways 440\r IT and internet of things (IoT) 440\r mitigation potential 505, 543, 544\r shared mobility 263-264, 271, 541-543, \r 558-559, 1061, 1103\r transport 1061\r shifting development pathways* 72-73, 411, \r 414, 447, 448-459, 449, 456-459, 476, 477, \r 1409\r and accelerating mitigation 414-415, 459-468, \r 471-472\r adaptation and mitigation 468-471\r development priorities 451-454\r enabling conditions 74, 412, 447, 458-459, \r 459-464, 460\r non-marginal shifts 453-454\r policies 74, 455, 455, 456-457, 458, 460, 461, \r 464-468, 471\r policy packages 1359, 1394, 1397-1398, \r 1399-1400\r risks and uncertainties 471-472\r socio-technical shifts 455\r to sustainability* 43, 45, 46, 412-413, \r 414, 453-459, 456-459, 468, 469-471, \r 1739-1740\r [...]"


id: e3371e4b56464b2e435ed91ac7571c3c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 37274
content:
"[...] city infrastructure and transport 1755-1756\r enabling conditions 460\r and SDGs 449-450, 449, 451\r technological change 1735\r transition dynamics 1694\r Shifting Pathways (IMP-SP) 309, 310-312, 333, \r 333, 334, 336, 337, 370, 371, 811, 812, 825, \r 1200, 1200, 1877-1879\r characteristics 175, 330, 338\r cross-cutting implications 893\r level of ambition and scenario features \r 174-175, 174\r physical and transition risk 1585\r quantitative scenario selection 1879\r storyline 175, 1878\r transport sector 1109-1110, 1111\r warming levels 307, 309, 330\r shipping 251, 1052, 1053, 1056, 1065, 1068, 1070, \r 1093-1098, 1105, 1120\r alternative fuels 1118-1119\r Arctic 1506\r emissions 1093-1094, 1093, 1506, 1507\r emissions trends and drivers 237, 251\r energy efficiency 1507\r energy sector CO2 emissions 620, 620\r fuel 1113\r governance 1097, 1115, 1115-1116\r international cooperation 1506, 1507-1508\r short-lived climate forcers (SLCFs)*\r accelerated mitigation pathways 439, 441-442\r AFOLU emissions 766"


id: e236bc6bdf534d4d3ec536273b643fa1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 37081
content:
"temperature classification 306-307, 307, 310\r temperature outcomes 1886, 1886-1887, 1889, \r 1890\r temperature overshoot 305\r top-down-oriented 1188, 1198-1201\r types of climate change scenarios 1870-1872\r uncertainty 1876\r see also AR6 scenario database; Illustrative \r Mitigation Pathways (IMPs); specific \r scenarios; specific sectors\r science-based targets (SBTs) 1218\r seagrass 786, 787, 788, 1271\r sectoral assessment 37, 774-775, 1247, \r 1252-1256, 1254-1256\r comparison with IAMs 1256-1260\r emission pathways until 2050 1260, 1260\r uncertainties 1253\r sectoral innovation systems (SIS) 1660\r sectoral transitions 1398, 1399-1400\r scenarios/pathways 1872, 1892, 1892\r shifting development pathways 458\r sequestration* 167, 823, 1403-1404\r AFOLU sector 1749\r biomass production 1300-1301\r blue carbon 787, 788, 1271\r coastal wetlands 788\r cropland soils 794\r forest 781, 1301\r grasslands 784-785\r land-based mitigation 788-791, 791-792, 1274\r soil carbon sequestration (SCS)* 788-789, 794, \r [...]"


id: b0da504813afcfb2e7039813685cd38d
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28341
content:
"[...] 1273-1274, 1276, 1277\r through CDR methods 168, 1264, 1265, 1268, \r 1269, 1270, 1271, 1273, 1274, 1300-1301\r urban green and blue infrastructure 864, 905, \r 905-907\r sequestration potential* 647, 785, 789, 1268, \r 1276\r SER (Sufficiency, Efficiency, Renewables) \r framework 955, 956, 957-959, 967-970, 968, \r 1849-1850\r service delivery systems 533-535, 533\r service provisioning* 514-516, 515, 527-535, \r 528\r digitalisation 539-541, 539\r effect of COVID-19 pandemic 511-512\r low energy demand 520\r mitigation potential 505\r service transition scenarios 1872\r services* 166\r access to 514, 515, 516-517, 517-518\r mobility services 509, 514, 567\r scenario modelling 570\r for well-being 514-516, 515, 519\r shadow cost of carbon 1391\r Shared Socio-economic Pathways (SSPs)* 78, \r 298, 305, 454, 1873, 1874\r aviation emissions scenarios 1090-1092, 1091, \r 1092\r baseline scenario 1861\r development pathways and mitigative capacity \r 453\r harmonisation 1875"


id: 72d4b4c0d66a959c50e6963439b762c8
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 17449
content:
"urban land use trends 884\r urban population and urban expansion 883, 883\r South Korea\r accelerated mitigation pathways 439\r air pollution reduction health benefits 377\r buildings 1015\r coal use and phase-out 625\r eco-industrial parks 1180, 1755\r energy sector 439\r energy transition 1768\r net zero targets 432\r officetel (office-hotel)/officetelschool concept \r 956, 960\r urban green infrastructure 905\r urban population 870\r South-North technology transfer and \r cooperation (SNTT) 257, 1502\r South-South technology transfer and \r cooperation (SSTT) 257, 1487, 1501-1502, \r 1685\r South-South trade 245, 257\r Southern Asia 254, 1823, 1824\r AFOLU emissions 253, 756, 759, 765, 765, 766\r buildings emissions 250, 250, 964, 966, 968\r embodied emissions 978\r reduction potential 968, 970\r buildings energy demand 971, 973, 973, 974\r buildings mitigation potential 989, 991\r climate-smart villages (CSV) 795\r cooking energy/technology 548\r emissions trends and drivers 233, 234-235, 236, \r 238, 246, 1481\r [...]"


id: 89d7b1c0c65c2fb0da1977de6046fadc
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 21418
content:
"[...] energy investment needs 1571\r energy sector emissions 248, 620, 621, 622\r industry emissions 249\r inequality 264\r per capita floor area 969\r transport 251\r transport emissions 252, 1055, 1056\r urban population and urban expansion 883, 883\r Spain 440, 548, 803, 905, 1385\r Special Drawing Rights (SDR) 1558, 1561\r specific energy consumption (SEC) 1171-1172, \r 1180-1181\r spill-over effects* 47, 471, 1248, 1318-1320, \r 1393-1394\r of CDR methods 1267, 1268, 1270, 1271, 1274, \r 1275-1276, 1277\r energy sector 628, 700-701, 1319-1320\r of green bonds 1600\r sources of leakage 1393\r technology/knowledge spillovers 1394, 1651, \r 1656, 1684\r see also leakage*\r standards and labelling 1219, 1388-1389, \r 1677-1680, 1679, 1680\r air conditioning 1662-1663, 1679\r building codes, certificates and labels 956, \r 1004, 1009, 1010, 1011, 1012, 1013, 1219, \r 1677, 1679, 1680\r carbon labelling 1765\r energy efficiency 1011, 1012, 1391, 1662-1663, \r 1677-1678, 1679"


id: 72c9f4d820a988adf5bf75f831dc6346
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 17439
content:
"source* 755, 1831-1837, 1832-1833, 1834-1836\r South Africa\r accelerated mitigation pathways 436, 437, 440\r buildings 440\r carbon pricing policies 1385\r climate change impacts on energy supply 668\r climate governance and institutions 1366, 1367, \r 1370\r coal use and phase-out 626, 1746, 1748\r cooking energy/technology 559\r decoupling 244\r Deep Decarbonisation Pathways Project (DDPP) \r 1740\r diet 254\r Durban local government and climate change \r 1370\r energy regulatory policy 1389\r energy-related CO2 emission pathways 434\r energy sector 436, 437\r energy use 517\r green industrialisation 1754\r household emissions 262\r inequality 517\r low emission strategies 433\r monitoring and evaluation system 1368\r national development plans 453-454\r Paris Agreement 1462-1463\r vulnerability 1754\r water availability and management 1741, 1754\r South America\r AFOLU mitigation potential 780, 783\r climate change impacts on energy supply 667, \r 668\r electromobility 1113\r fire regimes 770\r [...]"


id: 4970722c2a9d1e733511414c17632e97
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 10146
content:
"[...] forest and forestry 767, 770\r road building and deforestation 769\r see also Latin America and Caribbean\r South and Central America 641, 1101-1103, \r 1481\r South-East Asia and Pacific 1823, 1824\r accelerated mitigation pathways 435\r AFOLU emissions 252-253, 253, 254, 756, 759, \r 759, 765, 766\r AFOLU mitigation potential 780, 787\r buildings emissions 250, 964, 966, 968\r embodied emissions 978\r reduction potential 968\r buildings energy demand 970, 971, 973, 973\r buildings mitigation potential 989, 991\r climate-smart villages (CSV) 795\r coal use and phase-out 626\r electromobility 1113\r emissions trends and drivers 233, 234-235, 236, \r 238, 246, 1481\r energy investment needs 1571\r energy sector emissions 248, 620, 621, 622\r energy system 247\r industry emissions 249\r infrastructure development 769\r per capita floor area 969\r transport 251\r transport emissions 252, 1055, 1056"


id: 4fd836c4992aaf1d7fafe0764f712661
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 11341
content:
"social tipping interventions (STI) 1411\r socio-economic barriers and opportunities \r 824-825\r socio-economic equity 521-525, 525-527\r socio-economic impacts indicators 1856\r socio-political issues and mitigation \r approaches 153, 166, 169-171, 186-187\r socio-technical transitions* 447, 558-559, \r 560-564, 1691-1693, 1738, 1754, 1766\r feasibility 382\r policy packages 1359, 1395-1397, 1395\r socio-technical systems 183-185\r synergies and trade-offs 1696\r soft costs 1577-1578\r soft technologies 1647\r soil\r biochar application 789-790, 1301-1302\r carbon stocks 347\r conservation 820-821\r crop nutrient management 794\r emissions 789, 790, 794, 806\r enhanced weathering 1267-1268\r erosion 1299\r soil carbon sequestration (SCS)* 788-789, \r 1273-1274, 1276, 1277\r soil organic carbon* 828\r soil organic matter* 789, 1274, 1299\r solar energy* 11, 12, 630-633, 631, 634, 1752\r adoption and barriers 633\r buildings on-site energy generation 981\r capacity and generation 615, 627, 627\r [...]"


id: 4830b842ae4c60a809bd4a8b9a363e7
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 9913
content:
"[...] climate change impacts 665, 667-668, 997\r concentrating solar power (CSP) 12, 258, 627, \r 630-632, 631, 633, 634, 1302-1303\r costs and potential 630-632, 631\r direct solar heating 439, 630, 1182, 1194\r electricity prices 615\r environmental impacts 632\r impact on climate 670\r international cooperation 1505\r land occupation, impacts and risks 1298, \r 1302-1303\r levelised costs of electricity (LCOE) 630-632, \r 631, 662, 663\r low-carbon energy transition 689\r net-zero energy systems 674\r off-grid solar 1697\r public support 633\r and regional inequalities 1747-1748\r solar photovoltaics (PV) 627, 630-633, 631, \r 1299\r adoption 557, 569\r alternative PV materials 633\r costs 165, 168, 258, 1667-1668\r critical strategic minerals 637-638\r land occupation, impacts and risks 1298, \r 1302-1303\r technology improvement 257, 259\r solar thermal 439, 633, 970-971, 971, 1299\r synergies and trade-offs with SDGs 1697, 1761\r trends 627, 627\r solar radiation modification (SRM)* 168, 340, \r [...]"


id: 6eed5f3df87526cb0d49d4cf3f693c16
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 16785
content:
"Index\r energy labelling schemes 1010, 1662-1663, \r 1678, 1679\r financial products 1598, 1599-1600, 1606\r food labels, guidelines and regulation 1292, \r 1293-1295\r green labels 1598, 1599-1600, 1606, 1679\r low-carbon fuel standards (LCFS) 270, 1388\r minimum energy performance standards 956, \r 1010, 1678\r sustainability standards 1293-1294\r technology standards 1389\r tradable green certificates (TGCs) 1013, 1677, \r 1680\r tradable white certificates (TWCs) 1011, 1677, \r 1680\r vehicles 1388-1389, 1677-1678\r voluntary approaches 1293-1294, 1679-1680\r state-owned enterprises (SOEs) 170, 1588\r Stated Policies Scenario (STEPS) 1203, 1741\r Stated Policies Scenario (WEO-2020) 1251-\r 1252, 1252\r steel industry 533, 902, 1164, 1180, 1181, 1181, \r 1183, 1189-1190, 1197, 1204, 1204, 1205, \r 1208-1209\r stimulus packages 1359, 1407, 1408-1409, 1558\r COVID-19 recovery 163-164, 1550, 1557-1559, \r 1590-1591, 1591-1592\r Green New Deals 474, 1408-1409\r stormwater management 907-908\r storylines*\r [...]"


id: d719d43fa0193e5862c461436e7717cb
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 35150
content:
"[...] climate narratives 555\r scenario storylines* 175, 309, 1658, 1873, 1875, \r 1878, 1878\r stranded assets* 28, 90, 615, 647, 697, 698, 1730, \r 1744-1745, 1747, 1771, 1829\r financial risk assessment 1581, 1582\r impacts for public sector 1593-1594\r scenarios and pathways 355-356\r strategic interaction 1846\r stratospheric aerosol interventions (SAI) 1489, \r 1490, 1491-1492, 1494, 1494\r structural change 452, 463-465, 506, 507, 1845\r Structural Decomposition Analysis 243\r sub-Saharan Africa\r carbon pricing instruments 466\r distributional effects of mitigation 445\r energy access 623\r energy investment needs 1603-1604\r energy use 517, 623\r fertiliser use 794\r grassland 784\r green industrialisation 1754\r inequality 264\r infrastructure development 769\r sustainable water management 1754\r subnational actors* 4, 411, 1378-1381\r middle actors 506, 558\r mitigation potential 913-914\r subsidies 1386-1388\r agriculture and forestry 751, 815-816, 821-822\r buildings sector 1011, 1012, 1013\r [...]"


id: 6ac3ae58cc1d42122b54b22ff2c7043f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 16062
content:
"technology and innovation trade-offs 1644\r and technology transfer 1644\r vulnerability and climate risks 42\r see also accelerating transition in sustainable \r development context\r stainable Development Goals (SDGs)* 141, \r 142-143, 155, 158, 178-180, 179, 1455-1456, \r 1732-1733, 1738-1739\r and accelerating mitigation 141, 411\r access to technology and service infrastructure \r 517\r achieving climate mitigation and 176, 177, 177\r and adaptation 1757, 1758\r biodiversity 377-378\r cities and infrastructure 378, 866, 903, 903-904\r and climate policies 153\r climate policy integration 1405\r co-benefits 376, 1312-1313, 1312, 1742, 1754\r of CDR 1268\r of energy systems mitigation 698, 704-706, \r 705\r of industry mitigation 1210-1211, 1754\r long-term mitigation pathways 369-378, \r 370, 371, 376\r of urban mitigation 867, 873-875, 874, 903, \r 903-904\r cross-sectoral perspective 1312-1313, 1312\r demand-side measures 523\r digitalisation 11\r energy and energy access 375, 623-624, 705, \r 705\r [...]"


id: 4c5f84d79ffdcad4aaa72b922a0624ae
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 10700
content:
"[...] equity and fairness 170\r evaluating climate action in context of \r sustainable development 40-41, 41-42\r food and food security 373-374, 1292\r health 375-377, 376\r implementation gaps 1690\r integrated assessment models (IAMs) 1729, \r 1739, 1859, 1860\r international cooperation 1501-1502\r investment and finance 1554, 1739\r linkages with AFOLU 810, 827, 829\r linkages with land use 1302\r linkages with urban green and blue \r infrastructure 903, 903-904\r long-term mitigation pathways co-benefits and \r trade-offs 369-378, 370, 371\r low-carbon energy transition 616, 698, \r 704-706, 705\r meeting 11, 956, 998, 999-1000, 1000, 1739\r models/modelling methods 1742, 1850, 1860\r national development plans 451\r and NDCs 1739\r scenarios and pathways 375, 1850, 1860\r shifting development pathways 449-450, 449, \r 456-457\r sustainable development pathways 179\r synergies and trade-offs 369-378, 370, 371, \r 1729-1730\r AFOLU sector 41-42, 775, 810, 1309-1311, \r 1730, 1749-1751, 1757-1758, \r [...]"


id: 4ecaf26d47828fe29e651a06073921b2
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 11142
content:
"feed-in tariffs 1013-1014, 1387, 1388, 1587, \r 1676, 1736\r food-based 1292-1293\r fossil fuel 465-466, 648, 1387-1388, 1388\r Renewable/Energy Portfolio Standards (RPSs) \r 1013, 1388\r suburbanisation 466-467\r sufficiency* 955, 957-959, 995\r buildings sufficiency measures 955\r developing countries 989-990\r SER framework 956, 957-959\r untapped sufficiency potential 968\r sulphur dioxide (SO2) 441\r contribution to warming 225\r emissions trends and drivers 232-233, 232\r energy sector emissions 623\r sulphur hexafluoride (SF6) 221, 224, 229, 1390, \r 1831, 1832\r sulphur oxides (SOx) 1093, 1094\r supercapacitors 656\r supply chains 1056, 1175-1176, 1178, 1206, 1222\r emissions 253, 981, 1056\r management 818\r net-zero emissions 901-902\r warehouses 981\r supply-side measures*\r AFOLU sector 751, 753, 775, 776-777, 779-802\r models/modelling methods 1867\r scenarios and pathways 336, 337\r sustainability* 817\r consumption and production 514\r food systems 1283-1285, 1284, 1292-1295\r [...]"


id: 26dcaeb5233a7ecb0ea4c0cd487873a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 3997
content:
"[...] integrated sustainability 1734\r strong sustainability 1734\r urban sustainability experiments 1694\r voluntary sustainability standards 1293-1294\r water management systems 1754\r weak sustainability 1734\r sustainable development* 4, 40-43, 156, 510, \r 1772\r adaptation and mitigation 1404\r and climate change 1732-1734\r cross-sectoral approaches to mitigation 1248\r industrial transformation 1754-1755\r integrated governance 1405\r integrated policy approaches 1736\r long-term mitigation pathways 369-378, 370, \r 371\r low-carbon energy transition 616\r mitigation in context of 141-147, 170, 176-180\r mitigation linkages 1498-1499\r model assessment 1739-1742\r national development plans 451, 452, 453, \r 453-454\r Paris Agreement 1471\r policies 372, 372\r policies for transformation in context of 171\r and public-private partnerships (PPPs) \r 1511-1512\r role of digitalisation 1759-1761\r rural development 795\r shifting development pathways 412\r synergies and trade-offs 1743"


id: 6c0fa51297341cd177f4cb22a3fc180b
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 16315
content:
"systemic perspective 1644, 1645\r technological frontier 1656, 1656, 1695-1696\r technological innovation systems (TIS) 183, \r 1660\r technological innovations 441, 442, 464, \r 1698-1699, 1766-1767\r agricultural 374, 1285, 1286, 1288\r policy instruments 1670, 1672-1680\r processes 1660-1667\r service provisioning 505\r sustainability transitions 1766-1767\r synergies and trade-offs with SDGs 1696-1697\r and systems transitions 1698\r trade instruments 1681-1683\r transport 1064-1073, 1111\r see also technology and innovation\r technological leadership 684\r technological transitions 1661\r technology 167-168, 773\r for accelerated mitigation 412-413, 440, 447, \r 460, 464\r access to 517-518\r adoption 257-259, 557, 561, 567-568, 570, \r 700\r adoption rates 259\r availability 447\r batteries 1069-1070\r buildings 440, 961, 975, 992, 994\r carbon capture, use and storage 642-643\r consumer choice and behaviour 1391\r cost reductions 257, 258, 259, 994\r cross-sectoral considerations 1314, 1315-1316\r [...]"


id: 2d6baa66af32a8b641d22fc91910f97f
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 5277
content:
"[...] demand-side measures 505, 559\r development and transfer see technology \r transfer*\r early adoption 1204, 1206\r emerging mitigation technologies 773\r agricultural innovation 1285, 1286, 1288\r food technologies 1247, 1285, 1286, \r 1288-1289, 1321\r general-purpose technologies 1314\r solar energy 633\r enabling shifting development pathways 460, \r 464\r end-use technology adoption 530\r energy sector 167, 623, 660, 682, 692-693, \r 1505, 1752\r fossil fuel extraction 647\r general-purpose technologies (GPT) 1249-1250, \r 1321, 1652\r geothermal energy 649\r granularity 257-258, 505, 562, 563\r improvements 257-258\r for land-based freight 1084\r learning rates 257-258, 259\r mitigation policies 1396-1397, 1479-1481\r mitigation potential 1196, 1197-1198, \r 1249-1250\r new energies 167\r nuclear power 640\r Paris Agreement 1472-1473, 1477\r policies 700\r shifts in cooking energy/technology 548, 567"


id: cd3aba6ab7412b30c5869f1018e9c875
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 33445
content:
"bioenergy 645, 705, 1749, 1761\r buildings 41-42, 956, 998, 999-1000, 1000, \r 1762, 1763, 1764, 1770\r carbon capture (CCS and CCU) 705-706, \r 1755, 1761\r cross-sectoral co-impacts 1312-1313, 1312\r energy systems 41-42, 698, 704-706, 705, \r 1761, 1762\r industry 41-42, 1224, 1729-1730, 1754-\r 1755, 1762, 1763, 1764, 1770, 1771\r land-based mitigation 40-41, 41-42, \r 1749-1751, 1762\r solar energy 1697, 1761\r technology and innovation 1644, 1695-\r 1697, 1697-1698, 1698\r transport 41-42, 1054, 1055, 1762, 1763, \r 1764\r urban systems and other settlements 41-42, \r 1762, 1763, 1764\r technological change 1690-1691\r water 374-375\r water-energy-food nexus 1751-1754\r well-being 513, 829\r sustainable development pathways 179, 1359, \r 1739-1742, 1769-1770\r Sustainable Development Scenario (SDS) 375, \r 964-965, 965-967, 968-974, 1101, 1201, 1202, \r 1203, 1204, 1206, 1741\r sustainable energy 1766-1767\r sustainable entrepreneurs 1766\r sustainable finance 1550, 1552, 1578, 1600, \r 1600-1601, 1767\r [...]"


id: d2add27b73e21d2cd898ef1bf715ce79
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 34410
content:
"[...] sustainable forest management* 347-348\r sustainable intensification (of agriculture)* \r 751, 822-823, 828-829, 1286, 1288, 1757\r sustainable land management* 1747\r sustainable potential 774, 775-776\r sustainable transition 29, 558, 1729, 1730, 1734\r sustainable transition pathways 705, 1734\r Sweden\r accelerated mitigation pathways 438\r carbon taxes 466\r end-use technologies transitions 256\r energy supply transitions 256\r hydropower 639\r industrial waste heat 1206-1207\r industry 1209\r mitigation policies 1397\r policy impacts 270\r transport 1060\r Switzerland 990, 1116, 1501\r synergies 40-41, 41-42, 153, 156, 1729-1730\r adaptation and mitigation 468, 1400-1403, \r 1401, 1756-1759\r AFOLU sector 1749-1751, 1762\r assessment methodology 1838\r buildings sector 41-42, 1762, 1763, 1764, 1770\r cross-sectoral mitigation approaches 1248, \r 1249, 1730, 1761-1764, 1762, 1770\r cross-sectoral transitions 1749-1761\r development pathways 453, 456-457\r energy systems 41-42, 698, 704-706, 705, \r [...]"


id: 3101ef7d97c74a89efbdd0943cc9f778
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 5869
content:
"tariffs\r feed-in tariffs 1013-1014, 1387, 1388, 1587, \r 1676, 1736\r trade 1458-1459, 1500-1501\r see also carbon taxes\r Task Force on Climate-related Financial \r Disclosures (TCFD) 159\r taxes 1292-1293\r see also carbon taxes\r technical potential* 774, 1251\r afforestation/reforestation (A/R) 1274\r AFOLU measures 750, 775, 776, 776, 780, 781, \r 784-794, 796, 800, 802, 804, 805\r agroforestry 1274\r BECCS 800\r biochar 1274\r bioenergy and BECCS 802, 1273-1274\r buildings sector 988\r direct solar energy 630\r food systems 1279\r geothermal energy 648\r hydropower 638\r improved forest management 1274\r Indian agriculture 799\r marine energy 649\r peatland and coastal wetland restoration 1274\r reduced food waste and dietary shifts 528-529\r soil carbon sequestration (SCS) 1274\r wind energy 634-635\r techno-economic costs 447\r technological barriers and opportunities 826\r technological change 273, 1646-1647, \r 1655-1657\r AFOLU sector 773\r carbon pricing policies 1386\r [...]"


id: c1bf11b4334f3ade08d0bf468da318d4
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 31389
content:
"[...] emissions trends and drivers 255-259, 260\r scenarios 535\r and sustainable development 1645, 1735"


id: 95cd012f6da5ad6d3a54571e2671db81
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 23549
content:
"solar energy 633\r spill-over effect 1394\r subsidies 1387\r technical solutions and climate justice 1370\r transformative changes 411\r wind energy 635-636\r see also technology and innovation\r echnology-adjusted consumption-based \r emission accounting (TCBA) 239\r echnology and innovation 11, 136-139, \r 167-168, 1641-1701, 1650\r adaptation 1686, 1699\r adaptation and mitigation 469\r barriers and enablers 1644-1645, 1646-1647, \r 1646, 1652, 1654, 1658, 1696, 1766-1767\r carbon-intensive technologies 1651\r climate-resilient technology 1701\r co-benefits 1671, 1695\r costs 623, 1196, 1197-1198, 1650, 1651, 1655, \r 1657, 1658-1659\r deployment 305, 442, 464, 1651, 1657-1658, \r 1658-1659, 1688\r diffusion 305, 1657-1658, 1688, 1693, 1701\r digital technologies 140, 1645, 1652, \r 1652-1654, 1700\r see also digitalisation\r direction of technological change 1655-1657\r drivers of innovation 1647, 1650-1651\r early stage financing 1578\r enabling conditions 1645, 1693-1694, \r 1698-1699\r [...]"


id: dabea589a03cb087d5e3c0555cd89d33
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 35774
content:
"[...] energy efficiency technological developments \r 1180-1182\r energy technologies 1649, 1657-1658, \r 1658-1659\r environmental impacts 1646\r FAQs 1701\r fossil-fuel technologies 1651\r frugal innovations 1648\r general-purpose technologies (GPTs) 1249-\r 1250, 1321, 1652\r grassroots innovations 1648, 1697\r green innovations 1690\r impact of energy prices 1655\r inclusive innovation 1696\r indicators for innovation 1644, 1645, 1664-\r 1667, 1665-1666\r industry technological developments 1163-\r 1164, 1176-1187, 1188, 1196\r informal sector 1694\r information and communication technology \r (ICT) 652, 924-925, 1062, 1652, 1760\r innovation cooperation 1645, 1649, 1688-1689, \r 1698\r innovation policy packages 11\r innovation processes 1644\r innovation systems 1644, 1645, 1660-1661, \r 1660, 1669, 1688, 1699\r intellectual property rights (IPR) 1644-1645, \r 1657, 1681-1682, 1687-1688, 1699\r international cooperation 1457, 1472-1473, \r 1485-1487, 1502, 1645, 1656, 1683-1689, \r 1689, 1698, 1701"


id: 906a368158cdf1f4e5207f7660fa9df5
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 22609
content:
"investment and finance 1486-1487, 1505, \r 1578, 1645, 1649, 1651, 1655, 1656, \r 1664-1665, 1664\r knowledge gaps 1699-1700\r knowledge spillovers 1651, 1656, 1657\r leapfrogging 563\r learning by doing 1650-1651, 1678\r learning by research 1657\r lock-in 1649\r low-carbon innovation 441, 696, 700\r low-emission technologies 11, 12, 1651, 1701\r meeting Paris Agreement objectives 1701\r model assessment 1742\r models/modelling methods 1647-1648, 1657-\r 1658, 1658-1659, 1845-1846, 1875-1876\r new markets, finance and creative destruction \r 1587\r new technologies 1656, 1661, 1667, 1681, \r 1685, 1692-1693\r policies 11, 1655-1656, 1661, 1669-1683, \r 1694, 1698\r adapting to local context 1663\r demand-pull (market-pull) instruments \r 1650, 1669, 1670, 1675-1677\r drivers and politics 1671\r impact assessment 1672-1680\r impact indicators 1672, 1672\r instrument types 1670, 1670, 1671, 1680\r intellectual property rights (IPR) 1681-1682\r mission-oriented 1687-1688\r policy design 1645, 1665\r [...]"


id: 2ff0effb8bbec1fb841c37e6319037f5
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 5692
content:
"[...] policy mixes 1661-1662, 1667, 1669, 1683\r regulatory instruments 1677-1678, 1679\r soft instruments 1678-1680\r sub-national 1678, 1682-1683\r system-oriented 1683\r technology-push instruments 1650, 1669, \r 1670, 1672-1675, 1674-1675\r trade-related instruments 1681\r recombinant innovations 1651\r renewable energy technology 1656\r responsible innovation 1696\r scenarios and pathways 305, 351, 1647-1648, \r 1657-1658, 1658-1659\r social innovation 1647, 1688, 1690, 1696\r soft technologies 1647\r speed/sources of technological change \r 1650-1655\r stages of innovation process 1648-1650, 1648, \r 1671\r demonstration 1648, 1649\r deployment and diffusion 1648, 1649\r see also research and development (R&D)\r standards and labelling 1388-1389, 1662-\r 1663, 1678, 1679\r sustainable development and technological \r change 1645, 1647, 1690-1699, 1691-1694\r sustainable innovations 1690\r synergies and trade-offs with SDGs 1644, \r 1695-1697, 1697-1698, 1698\r systemic approach to innovation 1697-1698\r [...]"


id: 246d832c16a7e9a5db6dce3b7b027914
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 3603
content:
"systemic view 1644, 1645, 1660-1669, 1662, \r 1698\r technology development 1645, 1683-1684\r technology readiness levels (TRLs) 1648, \r 1649-1650\r transitions 692-693, 1396-1397, 1691-1694, \r 1695\r unit costs 11, 12, 28\r 'valley of death' 1665, 1692-1693\r technology deployment* 1648, 1649, 1651\r in developing countries 1688\r modelling 305, 1657-1658\r technology diffusion* 1646, 1646, 1647, 1648, \r 1649, 1701\r in developing countries 1688\r modelling 305, 1657-1658\r Technology Executive Committee (TEC) \r 1486-1487, 1685, 1686\r Technology Mechanism 1472-1473, 1486-1487\r technology-push policy instruments 1650, 1669, \r 1670, 1672-1675\r demonstration funding schemes 1675\r public procurement 1669, 1672-1674, 1673\r public R&D funding 1644, 1669, 1672, 1673, \r 1674-1675, 1674-1675\r R&D incentives 1672\r technology readiness level (TRL) 1648, \r 1649-1650\r batteries 1070\r biofuels 1067\r CDR methods 114, 115-116\r fuel cells 1070-1071\r natural gas vehicles 1065\r [...]"


id: 5f0783fd427e1b62225c3d72514a0e94
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14016
content:
"[...] technology transfer* 48, 218, 257, 1644, 1649, \r 1689\r adaptation and mitigation 469\r Clean Development Mechanism 1645, 1684, \r 1686-1687\r geographies of 1502\r institutional approaches 1685-1688\r intellectual property rights (IPR) regimes \r 1687-1688\r international cooperation 1645, 1656, \r 1683-1689, 1701\r Paris Agreement 1472-1473, 1487\r UN climate regime 1486-1487\r and sustainable development 1644\r teleworking 529, 541, 561\r temperature categories 1886, 1886, 1887, 1889, \r 1890\r temperature levels 315-318, 315, 317, 330-332\r and economic impacts from climate change \r 365-366\r and emissions 319-324, 320-322, 323, 329\r and net zero emissions 324, 325-328\r temperature overshoot* 305, 347, 349, 1874\r terrestrial biomass dumping 1273\r territorial accounting (TA) 872, 873\r territorial emissions 167, 221-238, 239, 240, \r 1165, 1176, 1283-1285, 1284\r Thailand 434, 875, 957\r thermal energy storage (TES) 655\r thermal power plants 665, 668"


id: eb5a505f491fdb7a15f0676b762fb1d9
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 38763
content:
"urban mobility 558-559\r see also just transitions*\r ransition pathways 411, 506, 535, 1729, \r 1748-1749, 1770\r distributional effects 412\r sustainable 705, 1734\r ransnational alliances 165\r ransport 98-99, 100, 159, 1049-1121\r abatement costs 1085-1086\r accelerated mitigation pathways 435, 436, 440\r accountability 1092-1093, 1097\r active travel/transport 908, 909, 926, 1052\r adaptation and mitigation 1057, 1759\r air pollution 1097\r alternative fuels 677, 1118-1119\r ASI opportunities 529-531, 530, 1056, \r 1059-1061\r automated vehicles 541, 542-543, 1062, 1063, \r 1735\r autonomous systems 1062, 1095\r aviation see aviation\r barriers to mitigation 543\r behaviour change 908, 909, 1052, 1059-1063, \r 1089, 1111-1112, 1121, 1766\r car dependence 1059\r carbon intensity 1106, 1107\r carbon leakage 1319\r circular economy 1061\r climate action 1117-1118\r climate change impacts 1057, 1759\r climate finance 1564\r climate-related financial risk 1584\r co-benefits 1058\r [...]"


id: 34e253ee1774d2231094055c25fc78fc
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 6546
content:
"[...] costs 1078, 1079, 1080, 1082, 1084-1085, \r 1085, 1097\r costs and potentials 38-39, 1252, 1253, 1255, \r 1257, 1257, 1258, 1258, 1259, 1260\r COVID-19 pandemic 230, 230, 1087, 1090, \r 1092, 1121\r critical minerals 1116, 1116-1117\r cross-sectoral implications 1313\r decarbonisation 1074-1098\r demand 1053, 1101-1104, 1111-1112\r demand management 1052, 1053, 1059-1063\r demand reduction 1111-1112, 1118-1119, \r 1121\r demand-side measures 529-531, 530\r digitalisation 1062-1063, 1062, 1653, 1760, \r 1761\r disruptive innovation 1057-1058\r electrification 440, 676, 677, 899-901, 1053, \r 1108-1109\r electric rail systems 1079\r electromobility 440, 1052, 1112-1113, \r 1116-1117, 1118-1119, 1120\r shipping 1095, 1098\r see also electric vehicles (EVs)\r emissions 8, 66\r aviation 1086-1087, 1086, 1090-1092, \r 1091, 1092, 1506-1507\r CO2 emissions 230, 230, 1053, 1065, \r 1086-1087, 1086, 1089, 1091, 1092\r direct emissions 1052"


id: 75fe5aa920d4642c826c79cb2cee380a
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 17986
content:
"near term 411, 412\r opposition to 472\r policies for 464\r transition dynamics 1691-1693\r see also just transitions*\r ransformative capacity 1766-1767\r ransformative change 572\r ransformative megatrends 538-546, 558-559\r ransformative potential\r experimentation and policy innovation 1380\r international cooperation 1460, 1460, 1475, \r 1515\r mitigation policies 1383-1384, 1383\r ransient climate response to cumulative CO2\r emissions (TCRE)* 320, 321\r ransit-oriented development 864, 897-898\r ransition* 147, 153-154, 183-185, 560-564, \r 1772\r accelerating 45, 185, 255, 256-259, 562-564, \r 565, 1772\r see also accelerating transition in \r sustainable development context\r from coal 1742-1744, 1743, 1746, 1748\r cross-sectoral transitions 1749-1764\r demand-side 506, 560-561\r drivers and constraints 165-173\r dynamics 184, 1667, 1691-1694, 1698\r economic implications 1744-1745, 1746, 1747\r enabling policies 1395-1398, 1395\r end-use technologies 256\r energy transition 28, 66, 256, 259, 1742-1749\r [...]"


id: ee9d602295d6ed3513166cd296beb069
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 39358
content:
"[...] feasibility 378-383\r financial risk 1581, 1582-1583\r funding 169\r to high well-being low-carbon-demand society \r 546, 546, 558\r industry 29\r inner transitions 1737\r long-term 1738-1739\r low-carbon 1746-1749\r feasibility frameworks 378-379\r policies 461, 568\r socio-economic context 871\r see also low-carbon energy transition; low\u0002carbon societal transition\r management 1746, 1748\r to net-zero energy systems 681-682\r orderly/disorderly 1581\r phases 561, 571\r policies 461, 568, 1395-1397\r scenarios 1583, 1584-1585, 1871-1872\r sectoral transitions 1398, 1399-1400\r scenarios/pathways 1872, 1892, 1892\r shifting development pathways 458\r short-term 1738-1739\r speed 66, 256-259, 350-351, 507, 562-564\r structural system changes 1395\r sustainable 29, 558, 1729, 1730, 1734\r system transitions 1693-1694, 1698, 1729\r technological 255-259, 682, 1661\r transformational system changes 1395\r understanding mitigation response strategies \r 183-185"


id: 4719a82a6dad5c7ed2b53e00f254604c
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 9709
content:
"thermoelectric power generation 1752-1753\r tipping points* 180, 468, 1683\r climate 1557\r for climate action 922\r finance and risk 1583, 1587\r social 547, 555, 556, 1509\r strategic targeting 1410, 1411\r tipping point cascades 1410, 1411\r tradable green certificates (TGCs) 1013, 1677, \r 1680\r tradable performance standards 1011, 1013, \r 1388, 1389, 1677, 1680\r tradable white certificates (TWCs) 1011, 1677, \r 1680\r trade-offs* 40-42, 153, 156, 1248\r adaptation and mitigation 468, 876, 1401-\r 1402, 1404, 1756-1759\r AFOLU measures 751, 780, 793, 796, 809, \r 1749-1751, 1762\r assessment methodology 1838\r barriers to implementation 1729-1730\r buildings mitigation 1018\r CANOPIES agroforestry project 791\r carbon pricing instruments 466\r CDR methods 1267, 1268, 1270, 1271, 1274, \r 1275-1276, 1277\r competing demands for land 1309-1311\r cross-sectoral approaches to mitigation 1248, \r 1249\r digitalisation 11\r economic quantification 368\r ecosystem services 1301\r [...]"


id: 608fef75853cd08d0014dece8362ea98
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 14290
content:
"[...] energy systems mitigation and SDGs 704-706, \r 705\r farming system approaches 470\r fossil fuel phase-out/renewables deployment \r 1743-1744\r industry mitigation and SDGs 1754\r innovation and sustainable development 1644, \r 1695-1697, 1698\r integrated assessment models (IAMs) 341\r land-based mitigation 775, 1304-1306\r land restoration 471\r long-term mitigation pathways and SDGs \r 369-370, 370, 371, 373-378\r managing 457, 1302, 1304-1306, 1503-1504\r mitigation and SDGs 450, 1729-1730, 1742, \r 1761-1764, 1762\r policy impacts 171\r sectoral policy interactions 1316-1317\r with sustainable development 40-42, 878, \r 1738, 1740, 1743-1744\r urban mitigation 875, 876\r water-energy-food nexus 1753\r trade-related measures 1500-1501\r traditional biomass* 622-623, 623-624, 629, \r 644, 970-971, 972\r transformation pathways* 303, 1198-1206, \r 1598, 1870\r transformational changes 458, 1729\r behaviour and lifestyle changes 463\r enabling 460\r industry 1203-1204"


id: b590b82bed738bed66948e6072ed4d16
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 29169
content:
"lifecycle assessment 1074, 1075, 1076, \r 1077, 1078, 1079\r international cooperation 1506-1508, 1514\r investment and finance 1569\r investment gap 1576\r investment needs 364, 1572-1573, 1573\r land-based 1052, 1053, 1065, 1070, 1074-\r 1086, 1112-1113\r lifecycle assessment (LCA) 1074-1080, 1075, \r 1078, 1081, 1082, 1145-1146\r lifecycle costs (LCCs) 1078, 1079, 1080, 1082, \r 1084-1085, 1085, 1148-1149\r lock-in 894, 1059\r long-term mitigation options 1260\r mitigation options 1111-1113, 1112, 1114\r mitigation potential 530, 1087-1090, \r 1094-1097, 1096\r modal shift 558-559, 1060, 1085, 1089-1090, \r 1104-1106, 1105\r models/modelling methods 1098-1099, 1100, \r 1101, 1104, 1110-1111, 1851, 1853-1854, \r 1853, 1892\r Nationally Determined Contributions (NDCs) \r 421\r net zero strategies 680, 1117-1118\r occupancy rates 544, 1077, 1080, 1106\r offsetting measures 1089\r passenger transport 251-252, 1053, 1056, \r 1074-1082, 1089-1090\r energy intensity 1106\r technology 1079-1080, 1081, 1082, \r 1108-1109\r [...]"


id: 41ffaafbf2275ed4c8f3aafa4587dcb1
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 8807
content:
"[...] trajectories 1101-1104, 1102, 1105, 1106, \r 1108-1109\r policies and legislation 567-568, 1053, 1090, \r 1382\r policy impacts 270-271\r policy packages 569\r public transport 271, 467, 558-559, 925, 926, \r 1060\r buses 1079-1080, 1081, 1082, 1146, \r 1148-1149\r rail 1079-1080, 1081, 1082, 1089-1090\r shifts from private transport 558-559, 1060, \r 1085, 1104-1106\r rail 1052, 1056, 1070, 1085-1086, 1105, 1148\r emissions 1079-1080, 1081, 1090\r freight 1082-1085, 1083\r high-speed rail (HSR) 1089-1090\r lifecycle costs (LCCs) 1080, 1082, \r 1084-1085, 1085\r modal shift to 1089-1090\r passenger rail 1079-1080, 1081, 1082\r road 252, 1056, 1074-1079, 1085-1086, 1104, \r 1105, 1148-1149\r automation/autonomous vehicles 541, \r 542-543, 1062, 1063, 1735\r buses and public transport 1079-1080, \r 1081, 1082\r freight 1082, 1083, 1084-1085, 1104\r heavy-duty vehicles (HDVs) 1056, 1070, \r 1082, 1083, 1084-1086, 1085, 1120\r improved/alternative vehicles 1061"


id: b0013906386cd8e2388acb5b2b0c662
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 28207
content:
"lifecycle costs (LCCs) 1078, 1079, 1080, \r 1082, 1084-1085, 1085\r lifecycle emissions 1074-1079, 1075, 1081\r light-duty vehicles (LDVs) 1069-1070, \r 1074-1079, 1075, 1076-1077, 1078, \r 1085-1086, 1106, 1108-1109\r medium-duty vehicles 1082, 1083, 1085\r passenger 1104\r two-wheelers 1077, 1113\r road construction 768, 769\r scenarios, pathways and projections 32, \r 343-345, 344, 535, 536, 1053, 1098-1111, \r 1892\r aviation 1090-1092, 1091, 1092, 1105\r energy and carbon efficiency trajectories \r 1106, 1107\r fuel energy and technology trajectories \r 1108-1109, 1108\r global emissions trajectories 1099-1101, \r 1100\r Illustrative Mitigation Pathways (IMPs) \r 1109-1110\r shipping 1097-1098, 1098, 1105\r transport activity trajectories 1101-1104, \r 1102\r transport modes trajectories 1104-1106, \r 1105\r service-based business models 1607\r service delivery efficiency 534\r service demand 509, 514, 567\r shared mobility 263-264, 271, 541-543, \r 558-559, 1061, 1103\r shipping see shipping\r [...]"


id: fb75f07d509c8b998dd573e1d68ec4a7
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 41616
content:
"[...] smart mobility 1062-1063, 1062\r socio-cultural factors 529, 531\r spatial patterns of development 466-467\r synergies and trade-offs with SDGs 41-42, \r 1054, 1055, 1762, 1763, 1764\r systemic changes 1052, 1058-1064, 1063\r technology 440, 1062-1063, 1062\r alternative fuels 1064-1068, 1064, 1066, \r 1067, 1082, 1087-1089\r aviation 1087-1090\r batteries energy storage systems 654-655, \r 1069-1070\r creative foresight 1117\r for decarbonisation 1064-1073, 1064, \r 1108-1109, 1108\r fuel cells 1070-1071\r ICE technologies 1064-1065, 1065\r land-based freight 1084\r refuelling and charging 1071-1073\r shipping 1095\r trade-offs 1089\r trackless trams 1113\r transformation trajectories 1097-1098, 1098\r transformative change 1052, 1057-1058\r travel demand reduction (TDR) 1118-1119\r urban 897-898, 899-901, 908, 909, 1052, \r 1058-1059, 1058, 1059, 1060, 1079-1080, \r 1081, 1082, 1755-1756\r urban mitigation 875\r urban systems 894-896, 1755-1756"


id: 4f33a55f5959686f8cfb830570ea82b2
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 11221
content:
"energy sector CO2 emissions 620, 620\r food system GHG emissions 1281\r GHG emissions 236-237, 237, 238, 529, \r 1281, 1507\r global emissions trajectories 1099-1101, \r 1100\r growth 218\r land-based transport 230, 230, 1074-1077, \r 1075, 1079-1080, 1081, 1083, 1084, \r 1090\r lifecycle emissions 1065, 1079-1080, 1081, \r 1083-1084, 1084, 1145-1146\r methane (CH4) emissions sources 1833, \r 1834, 1835\r non-CO2 emissions 1086-1087, 1088, 1089\r particulate matter (PM) 1077\r production-based emissions 1076\r projections and scenarios 1053, 1090-\r 1092, 1091, 1092, 1097-1098, 1098, \r 1099-1101, 1100, 1111\r residual fossil fuel emissions 268-269, 268\r shipping 1093-1094, 1093, 1096, 1097, \r 1506, 1507-1508\r short-lived climate forcers (SLCFs) 1086-\r 1087, 1093-1094\r sources 1833, 1834, 1835\r trends and drivers 218, 236-237, 237, 238, \r 246, 251-252, 252, 1055-1056, 1055, \r 1075, 1076, 1077\r urban GHG emissions 897-898\r zero emissions targets 529\r enabling conditions 1111-1118, 1118-1119\r [...]"


id: 8bed2c52f230bc4d4f7674827b1968ad
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 21782
content:
"[...] energy efficiency 251, 252, 1106, 1107, 1507\r FAQs 1120-1121\r feasibility assessment 1113, 1114, 1150-1160\r financing 1118\r food system mitigation options 1290-1291\r freight 252, 1053, 1056, 1082-1085, 1083, \r 1085, 1095, 1101-1104, 1102, 1105, \r 1108-1109\r fuel cell vehicles (FCVs) see hydrogen fuel cell \r vehicles (HFCVs)\r fuel efficiency 1074, 1076-1077, 1084, 1087, \r 1146-1147, 1677-1678\r fuel switching 1108-1109\r fuels and fuel alternatives 1052, 1053, \r 1064-1071, 1074, 1075, 1080\r aviation and shipping 1113\r emissions factors 1146\r projections 1090, 1091\r governance 1053, 1092-1093, 1097, \r 1115-1116\r hydrogen see hydrogen fuel cell vehicles (HFCVs)\r infrastructure 768, 769, 1057, 1058-1059, \r 1071-1073\r innovation 1057-1058, 1677-1678\r integrated energy sector planning 1053, 1115\r internal combustion engine (ICE) vehicles \r 1064-1065, 1065, 1068\r buses and passenger rail 1080, 1082\r freight 1083, 1084-1085, 1085\r ICE efficiency improvement 529"


id: 3d1e3fe1e53dfc306c1f9333a193d6f3
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 7937
content:
"mitigation potential of subnational actors \r 913-914\r National Energy Modelling System (NEMS) 1848\r net zero energy buildings 440\r net zero targets 1465\r New York City, urban carbon storage 905-907\r non-CO2 emissions 1390\r opposition to climate action 557\r Paris Agreement 1459, 1462, 1463, 1465, 1476, \r 1478\r payment for ecosystem services (PES) 815\r perception of climate risk 547\r performance standards 1677-1678\r policy impacts 270\r pollution policies and regulation 271\r public trust 555\r REDD+ 1503\r Regional Greenhouse Gas Initiative (RGGI) 270\r regulatory analysis 1391\r renewable energy support measures 1500\r stranded assets 355\r technology and innovation 1682, 1683\r technology and innovation funding 1674, \r 1674-1675, 1675\r transport 542, 1060\r urban green infrastructure 905, 905-907\r urban land expansion 888\r urban land use trends 884\r urban population 870\r voluntary agreements 1392\r water-energy-food nexus 1753\r wind energy 636\r urban form 32, 896-899, 909, 919, 919, 920\r [...]"


id: 9bb5d2b6b0b8917fe450472f72727a07
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 24653
content:
"[...] accelerated mitigation pathways 440\r compact and walkable 897, 897, 898-899, 920, \r 921, 922\r dispersed and auto-centric 897, 897, 920, 921\r and transport 897-898, 1058-1059, 1058, 1059\r transport demand and GHG emissions 466-467\r and transport emissions 1058-1059, 1058, 1059\r urban growth 882, 883-884, 883\r direct driver of emissions 255, 768\r mitigation opportunities 922-925\r typologies 898-899, 919-921, 919, 920\r urban sprawl 883-884\r urban heat island (UHI)* 876-877, 888, 890, \r 905, 906\r urban metabolism 872\r urban symbiosis 1180\r urban systems* and other settlements 94-98, \r 861-927\r adaptation and mitigation 864, 876-877, \r 877-880, 903, 903-904, 907-908, 1403, \r 1758-1759, 1771\r agriculture 875, 910\r air pollution 925-926\r barriers and enablers for implementation \r 879-880, 916-917, 918, 921-922\r carbon cycle 871, 901-902\r carbon footprint 255, 871-873, 893, 908, 924\r cascading effects 864, 894, 895-896, 919, 920, \r 923"


id: e6b9e37f11ca9f7724e6c7a7f491e05b
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 37892
content:
"urban green and blue infrastructure 876, 905\r nited Nations Addis Ababa Conference on \r Finance for Development 159\r nited Nations Convention to Combat \r Desertification (UNCCD) 1503\r nited Nations Framework Convention on \r Climate Change (UNFCCC)* 157, 172, \r 1460-1461, 1461, 1464\r capacity building 1487-1488\r climate finance 1482-1483, 1484\r countries and areas classification schemes 1823\r effectiveness 1515\r Financial Mechanism 1486-1487\r Local Communities and Indigenous Peoples \r Platform 1508\r mitigation and adaptation 1497-1498\r technology development and transfer \r 1486-1487\r Technology Mechanism 1685-1686, 1689\r see also Kyoto Protocol; Paris Agreement\r nited States of America (USA)\r accelerated mitigation pathways 435, 436, 437, \r 439, 440\r AFOLU emissions 254, 816\r AFOLU mitigation potential 781, 782\r agriculture 455, 1753\r air pollution reduction health benefits 377\r bioenergy policies 818\r buildings mitigation potential 989, 990\r Buy Clean California Act 1218\r [...]"


id: 41f870c88d7cde11ee039de04e7c3f2e
created_at: 2023-04-19 13:23:23
updated_at: 2023-04-19 13:23:23
content_type: text
index: climate_gpt_v2
vector_id: 8799
content:
"[...] California Zero Emission Vehicle (ZEV) mandate \r 1678\r Californian CBA tariffs 1214\r carbon offset credits 813-814, 815\r carbon pricing policies 1385\r coal-fired power plants, retirement of \r 1743-1744\r coal use and phase-out 624, 625, 626, 699\r conservation programs 816\r education and environmental knowledge 264\r electricity consumption 669\r end-use technologies transitions 256\r energy-related CO2 emission pathways 434\r energy resilience 669\r energy sector scenarios 436, 437, 439, \r 1743-1744\r energy storage 628\r energy system 682\r energy use 518\r EV infrastructure 271\r fire management 784\r fire regimes 770\r forest 767, 784, 817\r geologic CO2 storage potential 641, 641\r Global Methane Initiative (GMI) 1511\r grassland 784\r household carbon footprint 1747\r household emissions 260, 262, 263\r industry policy 1214\r international cooperation 1501\r international trade and consumption 520\r irrigation and crop yields 1753\r marginal/abandoned/degraded land 800"


