Global and regional satellite and reanalysis datasets to improve hydrological model simulation of snow water equivalent in a mountainous watershed.

Abstract: 

Sparse meteorological and snowpack data pose challenges for hydrological modeling in the Upper Indus Basin. The snow water equivalent (SWE) of the winter snowpack is a crucial predictor and influencer of spring flow, but its utilization in hydrological applications is constrained due to significant uncertainty. Utilizing global satellite and re-analysis datasets that furnish gridded meteorological and SWE information might be a promising avenue to enhance the assessment of hydrological processes and simulate snowpack behaviour. Exploring the representation of hydrological processes and SWE through global and regional satellite and reanalysis datasets could prove valuable for predicting streamflow, modelling snowpack accumulation, and determining the timing of snowmelt in snowmelt driven watersheds within the Upper Indus Basin.

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