Climate change is likely to pose enormous challenges for agriculture, water resources, infrastructure, and livelihood of millions of people living in South Asia. Here, we develop daily bias-corrected data of precipitation, maximum and minimum temperatures at 0.25
°
spatial resolution for South Asia (India, Pakistan, Bangladesh, Nepal, Bhutan, and Sri Lanka) and 18 river basins located in the Indian sub-continent. The bias-corrected dataset is developed using Empirical Quantile Mapping (EQM) for the historic (1951–2014) and projected (2015–2100) climate for the four scenarios (SSP126, SSP245, SSP370, SSP585) using output from 13 General Circulation Models (GCMs) from Coupled Model Intercomparison Project-6 (CMIP6). The bias-corrected dataset was evaluated against the observations for both mean and extremes of precipitation, maximum and minimum temperatures. Bias corrected projections from 13 CMIP6-GCMs project a warmer (3–5
°C)
and wetter (13–30%) climate in South Asia in the 21
st
century. The bias-corrected projections from CMIP6-GCMs can be used for climate change impact assessment in South Asia and hydrologic impact assessment in the sub-continental river basins.
Measurement(s)
hydrological precipitation process • volume of hydrological precipitation • temperature of air • climate
Technology Type(s)
computational modeling technique
Factor Type(s)
geographic location • temporal resolution
Sample Characteristic - Environment
climate system • river basin
Sample Characteristic - Location
India • Pakistan • Bangladesh • Nepal • Bhutan • Sri Lanka
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.12963008...

Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6

10.1038/s41597-020-00681-1