A Lagrangian Analysis of the Sources of Rainfall Over the Horn of Africa Drylands

Author:

Koppa Akash1ORCID,Keune Jessica1ORCID,MacLeod Dave A.2ORCID,Singer Michael3ORCID,Nieto Raquel4ORCID,Gimeno Luis4,Michaelides Katerina2ORCID,Rosolem Rafael2ORCID,Otieno George5,Tadege Abebe5,Miralles Diego G.1ORCID

Affiliation:

1. Hydro‐Climate Extremes Lab (H‐CEL) Ghent University Ghent Belgium

2. School of Geographical Sciences University of Bristol Bristol UK

3. School of Earth and Environmental Sciences Cardiff University Cardiff UK

4. Centro de Investigación Marinã Universidade de Vigo Environmental Physics Laboratory (EPhysLab) Ourense Spain

5. IGAD Climate Prediction and Application Centre Nairobi Kenya

Abstract

AbstractThe Horn of Africa drylands (HAD) are among the most vulnerable regions to hydroclimatic extremes. The two rainfall seasons—long and short rains—exhibit high intraseasonal and interannual variability. Accurately simulating the long and short rains has proven to be a significant challenge for the current generation of weather and climate models, revealing key gaps in our understanding of the drivers of rainfall in the region. In contrast to existing climate modeling and observation‐based studies, here we analyze the HAD rainfall from an observationally‐constrained Lagrangian perspective. We quantify and map the region's major oceanic and terrestrial sources of moisture. Specifically, our results show that the Arabian Sea (through its influence on the northeast monsoon circulation) and the southern Indian Ocean (via the Somali low‐level jet) contribute ∼80% of the HAD rainfall. We see that moisture contributions from land sources are very low at the beginning of each season, but supply up to ∼20% from the second month onwards, that is, when the oceanic‐origin rainfall has already increased water availability over land. Further, our findings suggest that the interannual variability in the long and short rains is driven by changes in circulation patterns and regional thermodynamic processes rather than changes in ocean evaporation. Our results can be used to better evaluate, and potentially improve, numerical weather prediction and climate models, and have important implications for (sub‐)seasonal forecasts and long‐term projections of the HAD rainfall.

Funder

European Commission

Fonds Wetenschappelijk Onderzoek

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

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