In Africa, weather extremes such as storms, droughts and floods have severe impacts on communities. Every year, high-intensity weather events result in devastating losses of life and damages to land, property and infrastructure.
Improving the accuracy of weather forecasting is critical for people’s safety, and for key economic sectors including aviation, agriculture, energy, water and emergency response.
GCRF African SWIFT aims to deliver a step change in African weather forecasting capability and communication, from hourly to seasonal timescales, to protect the lives and livelihoods of African people while improving the economies of their countries.
GCRF African SWIFT was launched in 2017, and is a £9 million programme led by the National Centre for Atmospheric Science (NCAS) and funded by the Global Challenges Research Fund. The programme includes partners from universities and national meteorological services in Ghana, Kenya, Niger, Nigeria, Senegal and the UK.
Master of Atmospheric and Climate Science Students at the University of Rwanda Trained on Nowcasting Tool: NWCSAF
Between 7th and 25th October 2021, African SWIFT Postdoc Researcher, Bethwel Kipkoech Mutai, was invited to teach the Weather Systems module, as part of the MSc. Atmospheric and Climate Science programme at the College of Science and Technology at the University of Rwanda in Kigali. Through structured regional and international collaborations, the University of Nairobi is one of the institutions that contribute in supplying visiting lecturers and supporting research activities.
- White Paper published on the Potential of Operational Weather Prediction to Save Lives and Improve Livelihoods and Economies in Sub-Saharan Africa
- Two prestigious Queen’s Anniversary Prizes won by SWIFT partners
- Master of Atmospheric and Climate Science Students at the University of Rwanda Trained on Nowcasting Tool: NWCSAF
- Using co-production to improve the appropriate use of sub-seasonal forecasts in Africa
- Using positive land surface temperature anomalies to predict the location of convection in Niger
- Gravity waves, land surface and convective initiation