Add checkpoint and update README.md
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spencerkclark
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- .gitattributes +0 -1
- ACE-logo.png +0 -0
- README.md +3 -29
- ace2_som_ckpt.tar +0 -3
- forcing_data/1xCO2/forcing_2032.nc +0 -3
- forcing_data/1xCO2/forcing_2033.nc +0 -3
- forcing_data/1xCO2/forcing_2034.nc +0 -3
- forcing_data/1xCO2/forcing_2035.nc +0 -3
- forcing_data/3xCO2/forcing_2032.nc +0 -3
- forcing_data/3xCO2/forcing_2033.nc +0 -3
- forcing_data/3xCO2/forcing_2034.nc +0 -3
- forcing_data/3xCO2/forcing_2035.nc +0 -3
- inference_config.yaml +0 -23
- initial_conditions/1xCO2/ic.nc +0 -3
- initial_conditions/3xCO2/ic.nc +0 -3
.gitattributes
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ACE-logo.png
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README.md
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license: apache-2.0
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<img src="ACE-logo.png" alt="Logo for the ACE Project" style="width: auto; height: 50px;">
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# ACE2-SOM
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Ai2 Climate Emulator (ACE) is a family of models designed to simulate atmospheric variability from the time scale of days to centuries.
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**Disclaimer: ACE models are research tools and should not be used for operational climate predictions.**
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ACE2-SOM is the first model we have trained to emulate the sensitivity of climate to substantial increases in carbon dioxide. It consists of ACE2 coupled to a highly simplified physics-based ocean model, called a slab ocean model (SOM), and is trained on equilibrium-climate output from GFDL's SHiELD model coupled to an identical slab ocean with carbon dioxide concentrations of the present-day, double the present-day, and quadruple the present-day (1xCO2, 2xCO2, and 4xCO2).
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Quick links:
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- 📃 [Paper](https://arxiv.org/abs/2412.04418)
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- 💻 [Code](https://github.com/ai2cm/ace)
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- 💬 [Docs](https://ai2-climate-emulator.readthedocs.io/en/stable/)
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- 📂 [All Models](https://huggingface.co/collections/allenai/ace-67327d822f0f0d8e0e5e6ca4)
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Briefly, the strengths of ACE2-SOM are:
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- accurate emulation of equilibrium climates with CO2 concentrations ranging from 1xCO2 to 4xCO2, including changes in the spatial patterns of temperature and precipitation, and changes in precipitation extremes between climates
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- realistic emulation of surface and lower-to-middle atmosphere fields with gradually changing CO2 concentration between 1xCO2 and 4xCO2.
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Some known weaknesses are:
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- Sea-ice coverage, ocean heat transport, and ocean mixed layer depth are prescribed based on a present-day climatologies and therefore do not respond to changes in CO2. Prescribed sea-ice in particular means projections with ACE2-SOM are missing an important feedback mechanism known to amplify warming in the polar regions.
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- Abrupt regime shifts in stratospheric temperature and moisture can occur in inference runs with changing CO2 concentration.
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- Adjustment to an abrupt change in CO2 concentration occurs too quickly, violating energy conservation.
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- Sensitivities of the surface and top of atmosphere radiative fluxes to changes in CO2 with the atmospheric state held fixed are not always realistic.
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license: apache-2.0
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---
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ace2_som_ckpt.tar
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forcing_data/1xCO2/forcing_2032.nc
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forcing_data/1xCO2/forcing_2033.nc
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forcing_data/3xCO2/forcing_2032.nc
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forcing_data/3xCO2/forcing_2035.nc
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inference_config.yaml
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experiment_dir: /output_directory
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n_forward_steps: 400
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forward_steps_in_memory: 50
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checkpoint_path: /ace2_som_ckpt.tar
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logging:
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log_to_screen: true
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log_to_wandb: false
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log_to_file: true
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project: ace
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initial_condition:
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path: /initial_conditions/1xCO2/ic.nc
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start_indices:
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times:
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- "2032-01-01T00:00:00"
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forcing_loader:
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dataset:
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data_path: /forcing_data/1xCO2
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n_repeats: 1 # Use this to extend the four years of forcing data to the desired length
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num_data_workers: 4
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data_writer:
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save_prediction_files: true
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save_monthly_files: false
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names: ["TMP2m", "VGRD10m", "PRATEsfc"]
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initial_conditions/1xCO2/ic.nc
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initial_conditions/3xCO2/ic.nc
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