Beyond the regional average: Drivers of geographical rainfall variability during East Africa's short rains

Abstract The East African “short rains” from October–December (OND) are crucial for the region's cultural and agricultural landscape. Traditional climate studies have often treated these rains as a single mode, representing the average rainfall across the region. This approach, however, fails to capture the complex geographical variations in seasonal rainfall. In our study, we analyse 4200 reforecasts from a seasonal prediction system spanning 1981–2022, identifying distinct clusters that represent different geographical patterns of the short rains. We explore the influence of tropical sea‐surface temperature patterns, upper‐level tropospheric flow, and low‐level moisture fluxes on these clusters. A key revelation of our research is the limited predictability of certain geographical rainfall structures based on large‐scale climatic drivers. This finding highlights a gap in current forecasting methodologies, emphasising the necessity for further research to understand and predict these intricate patterns. Our study illuminates the complexities of regional rainfall variability in East Africa, underlining the importance of continued investigation to improve climate resilience strategies in the region.

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Publication Details

Journal
Quarterly Journal of the Royal Meteorological Society
Published
2024-08-23
DOI
https://doi.org/10.1002/qj.4829
Citations
4
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.13

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article

Beyond the regional average: Drivers of geographical rainfall variability during East Africa's short rains

Erik W. Kolstad, Caroline M. Wainwright, Douglas J. Parker, Linda Hirons et al.
4 citations
Quarterly Journal of the Royal Meteorological Society
Climate variability and models
1.13
article

Beyond the regional average: Drivers of geographical rainfall variability during East Africa's short rains

Erik W. Kolstad, Caroline M. Wainwright, Douglas J. Parker, Linda Hirons, David MacLeod
article en
4 citations

Abstract

Abstract The East African “short rains” from October–December (OND) are crucial for the region's cultural and agricultural landscape. Traditional climate studies have often treated these rains as a single mode, representing the average rainfall across the region. This approach, however, fails to capture the complex geographical variations in seasonal rainfall. In our study, we analyse 4200 reforecasts from a seasonal prediction system spanning 1981–2022, identifying distinct clusters that represent different geographical patterns of the short rains. We explore the influence of tropical sea‐surface temperature patterns, upper‐level tropospheric flow, and low‐level moisture fluxes on these clusters. A key revelation of our research is the limited predictability of certain geographical rainfall structures based on large‐scale climatic drivers. This finding highlights a gap in current forecasting methodologies, emphasising the necessity for further research to understand and predict these intricate patterns. Our study illuminates the complexities of regional rainfall variability in East Africa, underlining the importance of continued investigation to improve climate resilience strategies in the region.

Quarterly Journal of the Royal Meteorological SocietyVol. 150(764)
University of Leeds (GB), Bjerknes Centre for Climate Research (NO), NORCE Research AS (NO), National Centre for Atmospheric Science (GB), University of Reading (GB), Cardiff University (GB)
Sight Research UK, Horizon 2020 Framework Programme, Natural Environment Research Council
Climate action
Openalex Percentile: Top 23%
Climate variability and models
1.13
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