text: UN Food and Agriculture Organization, UN Development Programme and UN Population 
  Fund [22]. The exposure component comprised proxies for the average length of ﬂood and 
  drought events calculated with daily precipitation data [23] (table 2). These proxies were chosen 
  above other possible metrics as they were required to replace self-reported instances of ﬂood 
  and drought events used in the original HCVI, which correlate with undernutrition data at the 
  country-level [23]. The proxies were therefore masked to only include data where a signiﬁcant 
  proportion of people live and grow crops before aggregating to country level and combining to 
  comprise a measure of exposure [23]; nevertheless, it is recognized that precipitation data alone 
  may not always be adequate for representing ﬂood and drought events, so the current method is 
  regarded as preliminary. 
  
  The impacts of projected climate change, therefore, act through changes in these quantities. In 
  the current version of the HCVI, climate-change impacts on other quantities such as crop yield 
  are not considered. Socio-economic factors affecting sensitivity and adaptive capacity are ﬁxed at 
  present-day conditions. 
  
  The ensemble-mean baseline HCVI calculated with the high-resolution bias-corrected 
  HadGEM3 ensemble is shown in ﬁgure 1. The spatial pattern is compatible with HCVI values 
  calculated using reanalysis data at the CMIP5 grid-scale resolution [23]; the most vulnerable 
  regions are sub-Saharan Africa and South Asia. This higher-resolution climate data enables 
  inclusion of additional countries which were not resolved in the lower-resolution CMIP5 data. 