The economic and social impacts of climate variability in developing countries underline the need to help partner countries gain the institutional capacity for resilient economic growth as climate changes. To address these challenges, USAID is informing water resources management efforts through increased access and capacity for use of future scenarios by which program stakeholders can better understand the increasing vulnerabilities they may face and identify their own path forward.

These data focus on the hydrological simulation data reported in the article by Adhikari et al. (2016). Gridded daily historical climate data was constructed from Climate Research Unit (CRU) monthly data. Outputs from six climate models (CanESM2, CCSM4, CSIROMK3.6, IPSL-CM5A-LR, MPI-ESM-LR, and MRI-CGCM3) were used to construct the future climate scenarios. The whole country was divided into 17 watersheds based on the FAO watershed delineation. SWAT hydrological model was used to simulate the historical (1981-2000) as well as future (1941-2060) hydrological conditions.