Evaluation of Gridded Rainfall Products in Three West African Basins
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Published:2024-05-29
Issue:6
Volume:11
Page:75
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ISSN:2306-5338
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Container-title:Hydrology
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language:en
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Short-container-title:Hydrology
Author:
Goudiaby Omar1ORCID, Bodian Ansoumana1ORCID, Dezetter Alain2ORCID, Diouf Ibrahima3ORCID, Ogilvie Andrew4ORCID
Affiliation:
1. Laboratoire Leïdi—Dynamique des Territoires et Développement, Université Gaston Berger (UGB), Saint-Louis BP 234, Senegal 2. HydroSciences Montpellier, University of Montpellier, IRD, CNRS, UFR Pharmacie, Bâtiment HYDROPOLIS, 15 Avenue Charles Flahaut, 34090 Montpellier, France 3. Laboratoire de Physique de l’Atmosphère et de l’Océan-Simon Fongang, Ecole Supérieure Polytechnique de l’Université Cheikh Anta Diop (UCAD), BP 5085 Dakar-Fan, Dakar 10700, Senegal 4. UMR G-EAU, AgroParisTech, BRGM, CIRAD, INRAE, Institut Agro, IRD, University of Montpellier, 34196 Montpellier, France
Abstract
In recent years, accessing rainfall data from ground observation networks maintained by national meteorological services in West Africa has become increasingly challenging. This is primarily due to high acquisition costs and the often sparse distribution of rainfall gauges across the region, which limits their use in hydrological studies and related research. At the same time, the rising availability of precipitation products derived from satellite/earth observations, reanalysis datasets, and in situ measurements presents exciting prospects for hydrological applications. Nonetheless, these datasets constitute indirect measurements, necessitating rigorous validation against ground-based rainfall data. This study comprehensively assesses twenty-three gridded rainfall products, including sixteen from satellites, six from reanalysis data, and one from in situ measurements, across the Senegal, Gambia, and Casamance River basins. Performance evaluation is conducted across distinct climatic zones, both pre- and post-resampling against observed rainfall data gathered from forty-nine rainfall stations over a six-year period (2003–2008). Evaluation criteria include the Kling–Gupta Efficiency (KGE) and Percentage of Bias (PBIAS) metrics, assessed at daily, monthly, and seasonal time steps. The results reveal distinct performance levels among the evaluated rainfall products. RFE, ARC2, and CPC notably yield the highest KGE scores at the daily time step, while GPCP, CHIRP, CHIRPS, RFE, MSWEP, ARC2, CPC, TAMSAT, and CMORPHCRT demonstrate superior performance at the monthly time step. During the rainy season, these products generally exhibit robustness. However, rainfall estimates derived from reanalysis datasets (ERA5, EWEMBI, MERRA2, PGF, WFDEICRU, and WFDEIGPCC) perform poorly in the studied basins. Based on the PBIAS metric, most products tend to underestimate precipitation values, while only PERSIANN and PERSIANNCCS lead to significant overestimations. Spatially, optimal performance of the products is observed in the Casamance basin and the Sudanian and Sahelian climatic zones within the Gambia and Senegal basins. Conversely, in the Guinean zone of the Gambia and Senegal Rivers, the rainfall products displayed the poorest performance.
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