Kouakou C., Paturel Jean-Emmanuel, Satgé Frédéric, Tramblay Yves, Defrance Dimitri, Rouché Nathalie.   (2023).     Comparison of gridded precipitation estimates for regional hydrological modeling in West and Central Africa.          Journal of Hydrology : Regional Studies,    47,    p. 101409 [23 p.].      ISSN 2214-5818. 
                        
                                             
                
                                                        
                                        
                        
                            Titre du document
                        
                        Comparison of gridded precipitation estimates for regional hydrological modeling in West and Central Africa
                     
                                        
                                                            
                        
                            Année de publication
                        
                        2023
                     
                                        
                                                            
                                        
                                        
                        
                            Auteurs
                        
                        
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    Kouakou C., Paturel Jean-Emmanuel, Satgé Frédéric, Tramblay Yves, Defrance Dimitri, Rouché Nathalie                        
                     
                    
                                                            
                                        
                        
                            Source
                        
                        
                                                            Journal of Hydrology : Regional Studies,                                                                                        2023, 
                                                                                        47,                                                                                                                                                        p. 101409 [23 p.]                             ISSN 2214-5818 
                     
                    
                                                            
                                                            
                                                            
                        Study region: Data-scarce basins located in West Africa and northern Central Africa. Study focus: Multiple studies have shown that global gridded precipitation datasets could provide an alternative to the lack of observed data in Sub-Saharan Africa. This work evaluated 15 precipitation datasets based on satellite rainfall (ARC v.2, CHIRP v.2, CHIRPS v.2, PERSIANN-CDR, MSWEP v2.2 and TAMSAT v3), reanalysis (ERA5, JRA-55 Adj, MERRA-2 PRECTOT, MERRA-2 PRECTOTCORR, WFDEI-CRU and WFDEI-GPCC) and ground measurements (CPC v.1, CRU TS v.4.00 and GPCC v.7), as well as a regional estimation method, based on spatial proximity, for the parameters of a simple monthly water balance model, GR2M. The regional simulations of the GR2M model were evaluated based on a Kling-Gupta Efficiency score in a split-sample spatiotemporal validation scheme. New hydrological insights for the region: The results show that among all the precipitation products, CHIRPS is the most effective for hydrological modeling in West and Central Africa at a monthly timestep. Also, among the top five products are WFDEI-CRU, CRU, WFDEI-GPCC and GPCC. Overall, regional hydrological modeling is more effective for basins smaller than 80,000 km2. The method of regionalization by spatial proximity causes an overall drop in the ability of the various precipitation products to reproduce discharge, most notably with WFDEI-GPCC and GPCC. CHIRPS remains the best product in terms of KGE2 values in regionalization.
                     
                                                                                                    
                        
                            Plan de classement
                        
                        
                                                            Sciences fondamentales / Techniques d'analyse et de recherche [020]
                                                                     ; 
                                                                                            Hydrologie [062]
                                                                     ; 
                                                                                            Télédétection [126]
                                                                                    
                     
                                        
                                                                                                                
                                                                            
                                
                                    Description Géographique
                                
                                
                                    AFRIQUE DE L'OUEST ; AFRIQUE CENTRALE
                                
                             
                                                
                                        
                                                            
                        
                            Localisation
                        
                        Fonds IRD [F B010090090]
                                                    
                     
                                        
                                                            
                        
                            Identifiant IRD
                        
                        
                            fdi:010090090