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The African SWIFT project: growing science capability to bring about a revolution in weather prediction

Parker, D. J., Blyth, A. M., Woolnough, S. J. ORCID: https://orcid.org/0000-0003-0500-8514, Dougill, A. J., Bain, C. L., de Coning, E., Foamouhoue, A. K., Lamptey, B., Ndiaye, O., Ruti, P., Adefisan, E. A., Amekudzi, L. K., Antwi-Agyei, P., Birch, C. E., Cafaro, C. ORCID: https://orcid.org/0000-0001-8063-4887, Carr, H., Chanzu, B., Clarke, S. J., Coskeran, H., Danuor, S. K. , de Andrade, F. M., Diakaria, K., Dione, C., Diop, C. A., Hartley, A. J., Hirons, L. C., Ibrahim, I., James, T. D., Lawal, K. A., Marsham, J. H., Mutemi, J. N., Okogbue, E. C., Olaniyan, E., Omoshoto, J. B., Portuphy, J., Roberts, A. J., Schwendike, J., Segele, Z. T., Stein, T. H. M. ORCID: https://orcid.org/0000-0002-9215-5397, Taylor, A. L., Taylor, C. M., Warnaars, T. A., Webster, S., Woodhams, B. J. and Youds, L. (2021) The African SWIFT project: growing science capability to bring about a revolution in weather prediction. Bulletin of the American Meteorological Society. ISSN 1520-0477 (In Press)

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To link to this item DOI: 10.1175/BAMS-D-20-0047.1

Abstract/Summary

Africa is poised for a revolution in the quality and relevance of weather predictions, with potential for great benefits in terms of human and economic security. This revolution will be driven by recent international progress in nowcasting, numerical weather prediction, theoretical tropical dynamics and forecast communication, but will depend on suitable scientific investment being made. The commercial sector has recognized this opportunity and new forecast products are being made available to African stakeholders. At this time, it is vital that robust scientific methods are used to develop and evaluate the new generation of forecasts. The GCRF African SWIFT project represents an international effort to advance scientific solutions across the fields of nowcasting, synoptic and short-range severe weather prediction, subseasonal-to-seasonal (S2S) prediction, user engagement and forecast evaluation. This paper describes the opportunities facing African meteorology and the ways in which SWIFT is meeting those opportunities and identifying priority next steps. Delivery and maintenance of weather forecasting systems exploiting these new solutions requires a trained body of scientists with skills in research and training; modelling and operational prediction; communications and leadership. By supporting partnerships between academia and operational agencies in four African partner countries, the SWIFT project is helping to build capacity and capability in African forecasting science. A highlight of SWIFT is the coordination of three weather-forecasting “Testbeds” – the first of their kind in Africa – which have been used to bring new evaluation tools, research insights, user perspectives and communications pathways into a semi-operational forecasting environment.

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
ID Code:99679
Publisher:American Meteorological Society

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