Storage components such as soil moisture, snowpack, groundwater, and surface water are poorly known at the sub-watershed scale due to a lack of well-distributed and continuous in situ networks. To ‘predict’ Spatio-temporal change in terrestrial water storages which hydro- and land surface models are more accurate and feasible at a local scale?
Dear Arfan Arshad
I find some reference for your issues:
A global analysis of temporal and spatial variations in continental water storage
Andreas Güntner Jochen Stuck Susanna Werth Petra Döll Kerstin Verzano Bruno Merz
https://doi.org/10.1029/2006WR005247
I find the reference by Hasrul Hazman Hasan is very necessary and help you in answering your quation
The work coupled with GIS, SWAT, MIKE-SHE and Programming languages such as Python and MATLAB are well-used worldwide to predict accurately the sub-watershed level the spatial and temporal variabilities surface water estimation
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