Search from over 60,000 research works

Advanced Search

Modeling of precipitation over Africa: progress, challenges, and prospects

[thumbnail of Akinsanola_etal2024.pdf]
Akinsanola_etal2024.pdf - Accepted Version (1MB)
Restricted to Repository staff only
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Akinsanola, A., Wenhaji, C., Barimalala, R., Monerie, P.-A. orcid id iconORCID: https://orcid.org/0000-0002-5304-9559, Dixon, R., Tamoffo, A., Adeniyi, M., Ongoma, V., Diallo, I., Gudoshava, M., Wainwright, C. orcid id iconORCID: https://orcid.org/0000-0002-7311-7846, James, R., KC, S., Faye, A., Nangombe, S., Pokam, M., Vondou, D., Hart, N., Pinto, I., Kilavi, M., Hagos, S., Rajagopal, E., Kolli, R. K. and Susmitha, J. (2024) Modeling of precipitation over Africa: progress, challenges, and prospects. Advances in Atmospheric Sciences. ISSN 1861-9533 doi: 10.1007/s00376-024-4187-6 (In Press)

Abstract/Summary

In recent years, there has been an increasing need for climate information across diverse sectors of society. This demand has arisen from the necessity to adapt to and mitigate the impacts of climate variability and change. Likewise, this period has seen a significant increase in our understanding of the physical processes and mechanisms that drive precipitation and its variability across different regions of Africa. By leveraging a large volume of climate model outputs, numerous studies have investigated the model representation of African precipitation as well as the underlying physical process. These studies have assessed whether the physical processes are well depicted and whether the models are fit for informing mitigation and adaptation strategies. This paper provides a review of the progress in precipitation simulation over Africa in state-of-the-science climate models and discusses the major issues and challenges that remain.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/118683
Item Type Article
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Springer
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar