{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T05:28:23Z","timestamp":1775539703408,"version":"3.50.1"},"reference-count":70,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2023,9,28]],"date-time":"2023-09-28T00:00:00Z","timestamp":1695859200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study assesses four Satellite-derived Precipitation Products (SPPs) that are corrected and validated against gauge data such as Soil Moisture to Rain\u2014Advanced SCATterometer V1.5 (SM2RAIN-ASCAT), Multi-Source Weighted-Ensemble Precipitation V2.8 (MSWEP), Global Precipitation Measurement Integrated Multi-satellitE Retrievals for GPM Final run V6 (GPM IMERGF), and Climate Hazards Group InfraRed Precipitation with Station (CHIRPS). We evaluate the performance of these SPPs in Nepal\u2019s Myagdi Khola watershed, located in the Kali Gandaki River basin, for the period 2009\u20132019. The SPPs are evaluated by validating the gridded precipitation products using the hydrological model, Soil and Water Assessment Tool (SWAT). The results of this study show that the SM2RAIN-ASCAT and GPM IMERGF performed better than MSWEP and CHIRPS in accurately simulating daily and monthly streamflow. GPM IMERGF and SM2RAIN-ASCAT are found to be the better-performing models, with higher NSE values (0.63 and 0.61, respectively) compared with CHIRPS and MSWEP (0.45 and 0.41, respectively) after calibrating the model with monthly data. Moreover, SM2RAIN-ASCAT demonstrated the best performance in simulating daily and monthly streamflow, with NSE values of 0.57 and 0.63, respectively, after validation. This study\u2019s findings support the use of satellite-derived precipitation datasets as inputs for hydrological models to address the hydrological complexities of mountainous watersheds.<\/jats:p>","DOI":"10.3390\/rs15194762","type":"journal-article","created":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T05:48:13Z","timestamp":1695966493000},"page":"4762","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["Evaluation of Satellite-Derived Precipitation Products for Streamflow Simulation of a Mountainous Himalayan Watershed: A Study of Myagdi Khola in Kali Gandaki Basin, Nepal"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2890-4867","authenticated-orcid":false,"given":"Aashutosh","family":"Aryal","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, VA 22904, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8478-5893","authenticated-orcid":false,"given":"Thanh-Nhan-Duc","family":"Tran","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, VA 22904, USA"}]},{"given":"Brijesh","family":"Kumar","sequence":"additional","affiliation":[{"name":"Department of Agricultural Engineering, Bihar Agricultural University, Sabour, Bhagalpur 813210, Bihar, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7431-9004","authenticated-orcid":false,"given":"Venkataraman","family":"Lakshmi","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, VA 22904, USA"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"147140","DOI":"10.1016\/j.scitotenv.2021.147140","article-title":"Reconstructing high-resolution gridded precipitation data using an improved downscaling approach over the high altitude mountain regions of Upper Indus Basin (UIB)","volume":"784","author":"Arshad","year":"2021","journal-title":"Sci. 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