Completed Climate, Earth & Environment

GCRF African Science for Weather Information and Forecasting Techniques (African SWIFT)

In plain English

AI plain-English summary

Every day, deadly storms and floods across Africa kill people who never saw them coming. The African SWIFT programme tackles a stark gap: weather forecasts across much of the continent are far less accurate than those in Europe or North America, because the physics of tropical weather systems is poorly understood and the region lacks the research infrastructure to improve them. This project builds a lasting network of African and UK scientists to fix that. They will study how tropical storms form, how to interpret satellite data, and how to communicate forecasts so that farmers, disaster managers, and airlines actually use them. If it succeeds, short-term warnings for high-impact weather—from hourly flash floods to seasonal droughts—will become dramatically more reliable. That means fewer deaths, less crop loss, and stronger economies across Senegal, Ghana, Nigeria, Kenya, and beyond. The work is embedded in the World Meteorological Organisation’s long-term strategy, so the tools and trained forecasters will keep improving for decades.

View original technical description
The GCRF African Science for Weather Information and Forecasting Techniques (GCRF African-SWIFT) programme aims to develop a sustainable research capability in tropical weather forecasting which will enhance the livelihood of African populations and improve the economies of their countries. Improved forecasts will address key aspects of the UK Aid strategy. The results will be translatable beyond the partner countries to other nations of Africa and the developing world more widely. In order to improve African weather prediction, fundamental scientific research is needed, in the physics of tropical weather systems, evaluation and presentation of complex model and satellite data, and communication and exploitation of forecasts. The programme will develop research capability to yield ongoing forecasting improvements in the coming decades. The overall aims of the project are to: I. Make research advances needed for significant improvements in weather forecasts in Africa, and the tropics more generally, from the hourly to the seasonal timescale. II. Build capability among UK and African partners to improve, maintain and evaluate operational tropical forecasts in future. III. Assist African partners in developing capacity for sustained training of forecasters, in partnership with African academic institutions and international agencies. Our strategy to increase research capability with societal impact is to build upon existing partnerships between forecasting centres and universities within four partner countries (Senegal, Ghana, Nigeria and Kenya) and within the UK. In-country partnerships combine the strengths of academic and operational perspectives and provide sustainability. The project is embedded within the long-term structures and strategies for international coordination for the region. Specifically, our programme addresses the aims of the World Meteorological Organisation (WMO; project partner). The potential applications and benefits are: A. New research capability in observing, modelling and evaluating forecasts of tropical high-impact weather; B. Robust networks of African scientists with capability to advance the science in this field, and pull the science through into operational impact; C. Significant improvements in weather forecasts, as evaluated using tested methods; D. New forecasting tools used operationally for short-term (0-120h) and S2S prediction; E. Significant impact on the regional strategy for provision of user-focussed, quality-controlled weather forecasts, as overseen by the WMO; F. More effective use of weather forecasts to the benefit of African people and nations.

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Researchers

Abdou DIENG (Co-Investigator)Alan Blyth (Principal Investigator)Amadou Gaye (Co-Investigator)Andrea Taylor (Co-Investigator)Andrew Dougill (Co-Investigator)Cathryn Birch (Co-Investigator)Christopher Taylor (Co-Investigator)Douglas Parker (Co-Investigator)Elijah Adefisan (Co-Investigator)Hamish Carr (Co-Investigator)Jerome Omotosho (Co-Investigator)John Marsham (Co-Investigator)Joseph N Mutemi (Co-Investigator)Juliane Schwendike (Co-Investigator)LEONARD K. AMEKUDZI (Co-Investigator)Mamadou Simina Drame (Co-Investigator)Philip Antwi-Agyei (Co-Investigator)Steven Woolnough (Co-Investigator)Sylvester Kojo Danuor (Co-Investigator)Tanya Warnaars (Co-Investigator)Thorwald Stein (Co-Investigator)

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Original classification

Research Grant

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