Evaluation of Gridded Rainfall Products in Three West African Basins

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.

Publisher

MDPI AG

Reference103 articles.

1. Nations, U. (2019). World Population Prospects 2019—Volume II: Demographic Profiles, Department of Economic and Social Affairs.

2. Global climate change and its impacts on water resources planning and management: Assessment and challenges;Sivakumar;Stoch. Environ. Res. Risk Assess.,2011

3. Supply–demand of water resource of a basin with high anthropic pressure: Case study Quenane-Quenanito Basin in Colombia;Air Soil Water Res.,2020

4. Sur la sécheresse au Sahel d’Afrique de l’Ouest. Une rupture climatique dans les séries pluviométriques du Burkina Faso (ex Haute-Volta);Carbonnel;Comptes Rendus de l’Académie des Sciences. Série 2, Mécanique, Physique, Chimie, Sciences de l’Univers, Sciences de la Terre,1985

5. The spatial coherence of African rainfall anomalies: Interhemispheric teleconnections;Nicholson;J. Appl. Meteorol. Climatol.,1986

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3