Exploring Afro-Asian water fluxes in CMIP5 and CMIP6 models: Present-day evaluation and future projections
Tolulope E. Adeliyi, Akintomide A. Akinsanola, Thierry N. Taguela, Oluwafemi E. Adeyeri, Priyanshi Singhai
Abstract
Accurate representation and projection of water fluxes are vital, particularly in monsoon regions where seasonal variability and changes significantly impact water resources, agriculture, hydroelectric power generation, and the economy. This study uses both CMIP5 and CMIP6 models to investigate the present-day representation of key water flux components (including precipitation, evaporation, water vapor, and moisture advection) over the Afro-Asian region during the summer monsoon (JJAS). We also examine future changes under two emission scenarios and assess the underlying physical mechanisms driving these changes while identifying sources of projection uncertainty. Our results show that both models reasonably capture the present-day characteristics of water flux components, although with noticeable biases. Across most regions, we find that CMIP6 models demonstrate slight improvements over CMIP5 in the representation of these components. In a warmer future, a robust intensification of JJAS precipitation (exceeding 0.25 mm/day) is projected across the Afro-Asian region. This increase is largely driven by the vertical thermodynamic term associated with increasing temperature. We find that model uncertainty is the primary source of uncertainty in water flux projections, accounting for over 50 % of the total variance. • CMIP5 and CMIP6 models reasonably capture present-day water flux components, with CMIP6 showing slight improvements, though biases persist. • JJAS precipitation is projected to increase substantially, exceeding 0.25 mm day −1 across the Afro-Asian monsoon region. • Model uncertainty is the primary contributor to the projection uncertainty, accounting for over 50 % of the total variance. • Intensification of future monsoon precipitation is mainly driven by the vertical thermodynamic term.