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Abstract:
Satellite technology enables alternative solutions for hydrological applications, thus satellite products should be operationally evaluated using benchmark models and/or data sets. The SE-E-SEVIRI(H10) and SWE-E(H13) snow products of the Satellite Application Facility on Support to Operational Hydrology and Water Management (H SAF) of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) are examined in this study over a mountainous catchment in the Upper Euphrates, Turkey. Prior to calibrating and validating hydrological models for impact analysis and hydro-validation of satellite snow products, the spatio-temporal assessment of satellite-derived snow cover area (SCA) data is evaluated. To produce precise results for runoff prediction during the years 2008–2020, two separate conceptual hydrological models, SRM and HBV, are utilized. We compare our model results to the snow extent derived by the Moderate Resolution Imaging Spectroradiometer (MODIS).In the impact study of satellite data, SRM, which includes SCA as one of the main forcings, exhibits high Kling Gupta Efficiency, KGE (0.75-0.89). Notable Nash-Sutcliffe Efficiency, NSE (0.89-0.92) values are also found for SCA calculated by SE-E-SEVIRI(H10) and MODIS in hydro-validation analysis as compared to simulated HBV model findings. Since snow water equivalent (SWE) values for mountainous places are infrequently accessible, the SWE-E(H13) product is significant. Yet, it appears that this product needs more care. Overall findings demonstrate the degree of relevance and utility of H SAF snow data in hydrological applications, emphasizing the critical necessity for product dissemination.<quillbot-extension-portal></quillbot-extension-portal>
