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Exploiting sub-seasonal forecast predictability in Africa: a key to sustainable development

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Hirons, L. ORCID: https://orcid.org/0000-0002-1189-7576, Woolnough, S. ORCID: https://orcid.org/0000-0003-0500-8514, Dione, C., Thompson, E., de Andrade, F., Talib, J., Konte, O., Diedhiou, T., Quaye, D., Opoku, N., Lawal, K., Olaniyan, E., Nying'uro, P., Kiptum, C., Gudoshava, M., Phillips, L., Youds, L., Parker, D. and Blyth, A., (2021) Exploiting sub-seasonal forecast predictability in Africa: a key to sustainable development. Report. University of Leeds, Leeds.

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To link to this item DOI: 10.5518/100/72

Abstract/Summary

New real-time sub-seasonal forecast information is aiding preparedness and disaster risk reduction decisions in key flood- and drought-vulnerable sectors across Africa and enabling significant progress in sub-Saharan Africa towards the UN Sustainable Development Goals. These services are demonstrating the potential for wider development of sub-seasonal user-focussed services at scale across Africa. We make key recommendations to achieve this vision.

Item Type:Report (Report)
Divisions:Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:100138
Publisher:University of Leeds
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