Abstract
An analysis of spatial distributions of West African rainfall during monsoon period (JJAS) of six ensemble members from Coupled Intercomparison Model Project Phase 5 and 6 (CMIP5 and CMIP6) and compared to two observational datasets of Global Precipitation Climatologic Center and Climate Hazard Group InfraRed Precipitation with Station (GPCC and CHIRPS) using six extremes precipitation indices from Expert Team on Climate Change Detection and Indices (ETCCDI). The annual cycle of indices based on daily rainfall such as consecutive dry (CDD) and wet (CWD) days, was used over the Sahelian, Savannah and Guinean regions with satellite daily precipitation estimates. The root mean square error (RSME) and standard deviation were compared using a Taylor diagram for each subregion over West Africa. A higher positive correlation is found between CMIP6 and the reference dataset. Despite the high uncertainties, a strong correlation was found over the Savannah region between the GPCC and model simulations with extreme precipitation events (EPEs). This indicates that CMIP6 reproduces the rainfall pattern over the areas better than its CMIP5 counterpart.
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Doumbia, B., Adefisan, E., Omotosho, J., Thies, B., Bendix, J. (2023). Evaluation of CMIP5 and CMIP6 Performance in Simulating West African Precipitation. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-29857-8_9
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DOI: https://doi.org/10.1007/978-3-031-29857-8_9
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