{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T18:57:14Z","timestamp":1767034634373,"version":"build-2065373602"},"reference-count":60,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T00:00:00Z","timestamp":1702944000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Hydrology and Meteorology Service (SENAMHI) of the Ministry of the Environment of Peru"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In regions with limited precipitation information, like Peru, many studies rely on precipitation data derived from satellite products (SPP) and model reanalysis. These products provide near-real-time information and offer global spatial coverage, making them attractive for various applications. However, it is essential to consider their uncertainties when conducting hydrological simulations, especially in a key region like the Pacific drainage (Pd), where 56% of the Peruvian population resides (including the capital, Lima). This study, for the first time, assessed the performance of two bottom-up Satellite-based Precipitation Products (SPP), GPM + SM2RAIN and SM2RAIN-ASCAT, and one top-down approach SPP, ERA5-Land, for runoff simulation in the Pacific drainage of Peru. Hydrological modeling was conducted on 30 basins distributed across the Pd, which were grouped into 5 regions (I\u2013V, ordered from south to north). The results showed that SM2RAIN-ASCAT performed well in regions I-III-IV, ERA5-Land in region II, and GPM + SM2RAIN in region V. The hydrological model GR4J was tested, and better efficiency criteria were obtained with SM2RAIN-ASCAT and GPM + SM2RAIN when comparing the simulated versus observed streamflows. The hydrological modeling using SM2RAIN-ASCAT and GPM + SM2RAIN demonstrated satisfactory efficiency metrics (KGE &gt; 0.75; NSE &gt; 0.65). Additionally, ten hydrological signatures were quantified to assess the variability of the simulated streamflows in each basin, with metrics such as Mean Flow (Q mean), 5th Quantile Flow (Q5), and 95th Quantile Flow (Q95) showing an overall better performance. Finally, the results of this study demonstrate the reliability of using bottom-up satellite products in Pd basins.<\/jats:p>","DOI":"10.3390\/rs16010011","type":"journal-article","created":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T11:17:24Z","timestamp":1702984644000},"page":"11","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Assessment of Bottom-Up Satellite Precipitation Products on River Streamflow Estimations in the Peruvian Pacific Drainage"],"prefix":"10.3390","volume":"16","author":[{"given":"Jonathan","family":"Qquenta","sequence":"first","affiliation":[{"name":"Master\u2019s Program in Hydraulic Engineering, Postgraduate Unit, Faculty of Physical Sciences, Universidad Nacional Mayor de San Marcos (UNMSM), Av. Carlos Germ\u00e1n Amezaga 375, Lima 15081, Peru"},{"name":"National Service of Meteorology and Hydrology of Peru (SENAMHI), Lima 15072, Peru"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1004-6729","authenticated-orcid":false,"given":"Pedro","family":"Rau","sequence":"additional","affiliation":[{"name":"Water Research and Technology Center (CITA), Department of Civil and Environmental Engineering Universidad de Ingenier\u00eda y Tecnolog\u00eda (UTEC), Lima 15063, Peru"}]},{"given":"Luc","family":"Bourrel","sequence":"additional","affiliation":[{"name":"UMR 5563 G\u00e9osciences Environnement Toulouse (GET), Universit\u00e9 de Toulouse, CNRS, IRD, UPS, CNES, OMP, 14 Avenue Edouard Belin, 31400 Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4661-8274","authenticated-orcid":false,"given":"Fr\u00e9d\u00e9ric","family":"Frappart","sequence":"additional","affiliation":[{"name":"Interactions Sol Plante Atmosph\u00e8re (ISPA), UMR 1391 Institut National de Recherche pour l\u2019Agriculture, Alimentation et l\u2019Environnement (INRAE)\/Bordeaux Science Agro, 33140 Villenave-d\u2019Ornon, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0051-0743","authenticated-orcid":false,"given":"Waldo","family":"Lavado-Casimiro","sequence":"additional","affiliation":[{"name":"National Service of Meteorology and Hydrology of Peru (SENAMHI), Lima 15072, Peru"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.jhydrol.2018.01.039","article-title":"On the Performance of Satellite Precipitation Products in Riverine Flood Modeling: A Review","volume":"558","author":"Maggioni","year":"2018","journal-title":"J. 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