{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T04:50:01Z","timestamp":1768625401677,"version":"3.49.0"},"reference-count":42,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2018,11,27]],"date-time":"2018-11-27T00:00:00Z","timestamp":1543276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fiducie pour la recherche en hydrologie, Quebec and UAEM","award":["4192"],"award-info":[{"award-number":["4192"]}]},{"DOI":"10.13039\/501100013704","name":"CONACYT","doi-asserted-by":"publisher","award":["248553"],"award-info":[{"award-number":["248553"]}],"id":[{"id":"10.13039\/501100013704","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study highlights the advantage of satellite-derived rainfall products for hydrological modeling in regions of insufficient ground observations such as West African basins. Rainfall is the main input for hydrological models; however, gauge data are scarce or difficult to obtain. Fortunately, several precipitation products are available. In this study, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks\u2013Climate Data Record (PERSIANN-CDR) was analyzed. Daily discharges of three rivers of the Upper Senegal basin and one of the Upper Niger basin, as well as water levels of Manantali reservoir were simulated using PERSIANN-CDR as input to the CEQUEAU model. First, CEQUEAU was calibrated and validated using raw PERSIANN-CDR, and second, rainfalls were bias-corrected and the model was recalibrated. In both cases, ERA-Interim temperatures were used. Model performance was evaluated using Nash\u2013Sutcliffe efficiency (NSE), mean percent bias (MPBIAS), and coefficient of determination (R2). With raw PERSIANN-CDR, most years show good performance with values of NSE &gt; 0.8, R2 &gt; 0.90, and MPBIAS &lt; 10%. However, bias-corrected PERSIANN-CDR did not improve the simulations. The findings of this study can be used to improve the design of dam projects such as the ongoing dam constructions on the three rivers of the Upper Senegal Basin.<\/jats:p>","DOI":"10.3390\/rs10121884","type":"journal-article","created":{"date-parts":[[2018,11,27]],"date-time":"2018-11-27T03:31:33Z","timestamp":1543289493000},"page":"1884","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Hydrological Evaluation of PERSIANN-CDR Rainfall over Upper Senegal River and Bani River Basins"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1710-5653","authenticated-orcid":false,"given":"Khalidou M.","family":"B\u00e2","sequence":"first","affiliation":[{"name":"Instituto Interamericano de Tecnolog\u00eda y Ciencias del Agua, Universidad Aut\u00f3noma del Estado de M\u00e9xico, km 14.5 Carretera Toluca-Ixtlahuaca, CP 50200, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6613-3610","authenticated-orcid":false,"given":"Luis","family":"Balc\u00e1zar","sequence":"additional","affiliation":[{"name":"Instituto Interamericano de Tecnolog\u00eda y Ciencias del Agua, Universidad Aut\u00f3noma del Estado de M\u00e9xico, km 14.5 Carretera Toluca-Ixtlahuaca, CP 50200, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5502-4099","authenticated-orcid":false,"given":"Vitali","family":"Diaz","sequence":"additional","affiliation":[{"name":"IHE Delft Institute for Water Education, 2601 DA Delft, The Netherlands"},{"name":"Delft University of Technology, Water Resources Section, 2601 DA Delft, The Netherlands"}]},{"given":"Febe","family":"Ortiz","sequence":"additional","affiliation":[{"name":"IHE Delft Institute for Water Education, 2601 DA Delft, The Netherlands"},{"name":"Delft University of Technology, Water Resources Section, 2601 DA Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6313-9187","authenticated-orcid":false,"given":"Miguel A.","family":"G\u00f3mez-Albores","sequence":"additional","affiliation":[{"name":"Instituto Interamericano de Tecnolog\u00eda y Ciencias del Agua, Universidad Aut\u00f3noma del Estado de M\u00e9xico, km 14.5 Carretera Toluca-Ixtlahuaca, CP 50200, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6245-070X","authenticated-orcid":false,"given":"Carlos","family":"D\u00edaz-Delgado","sequence":"additional","affiliation":[{"name":"Instituto Interamericano de Tecnolog\u00eda y Ciencias del Agua, Universidad Aut\u00f3noma del Estado de M\u00e9xico, km 14.5 Carretera Toluca-Ixtlahuaca, CP 50200, Mexico"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/j.jhydrol.2005.11.041","article-title":"Comparison of satellite rainfall data with observations from gauging station networks","volume":"327","author":"Hughes","year":"2006","journal-title":"J. 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