  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{\deg} 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 CMIP6-GCMs. 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{\deg}C) and wetter (13-30%) climate in South Asia in the 21st
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.
