Research Article
Climate Change Signals Over Senegal River Basin Using Regional Climate Models of the CORDEX Africa Simulations
@INPROCEEDINGS{10.1007/978-3-319-98878-8_12, author={Mamadou Mbaye and Samo Diatta and Amadou Gaye}, title={Climate Change Signals Over Senegal River Basin Using Regional Climate Models of the CORDEX Africa Simulations}, proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. Second International Conference, InterSol 2018, Kigali, Rwanda, March 24--25, 2018, Proceedings}, proceedings_a={INTERSOL}, year={2018}, month={9}, keywords={Climate change Bias correction Signal Regional climate model Senegal Basin}, doi={10.1007/978-3-319-98878-8_12} }- Mamadou Mbaye
Samo Diatta
Amadou Gaye
Year: 2018
Climate Change Signals Over Senegal River Basin Using Regional Climate Models of the CORDEX Africa Simulations
INTERSOL
Springer
DOI: 10.1007/978-3-319-98878-8_12
Abstract
This study provides an overview of the impact of a statistical bias correction based on histogram equalization functions on a set of high resolution climate simulations over the Senegal River Basin. Regarding the future changes of extreme precipitation (greater than 50 mm), the models diverge in predicting heavy rainfall events in the majority of the basin. However, an increase of extreme precipitation is found around the Guinean Highlands. The results show also an increase of dry day’s length and a decrease of wet days spells by all the RCMs, except one model that shows an opposite change of these climate indices. The bias correction affects mainly the magnitude of the climate change signals of extreme precipitation. Changes under the Representative Concentration Pathways (RCP8.5) are the most pronounced with uncorrected data. Bias corrected RCMs data are potentially useful for climate change impact studies over the Senegal River Basin. This study highlights a convergence of all RCMs (except for RCA RCM) in projecting a decrease of wet days and an increase of dry days over the Senegal River Basin.
