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Details of Award

NERC Reference : NE/P021077/1

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

Grant Award

Principal Investigator:
Professor A Blyth, University of Leeds, National Centre for Atmospheric Science
Co-Investigator:
Professor S Danuor, Kwame Nkrumah Uni of Science & Tech, Physics
Co-Investigator:
Professor SJ Woolnough, University of Reading, National Centre for Atmospheric Science
Co-Investigator:
Dr E A Adefisan, Federal University of Technology Akure, UNLISTED
Co-Investigator:
Professor J Marsham, University of Leeds, School of Earth and Environment
Co-Investigator:
Professor AJ Dougill, University of York, Environment
Co-Investigator:
Dr TA Warnaars, UK Centre for Ecology & Hydrology, UNLISTED
Co-Investigator:
Professor C Birch, University of Leeds, School of Earth and Environment
Co-Investigator:
Dr J Schwendike, University of Leeds, School of Earth and Environment
Co-Investigator:
Professor CM Taylor, UK Centre for Ecology & Hydrology, Hydro-climate Risks
Co-Investigator:
Dr M Drame, Cheikh Anta Diop University of Dakar, Research
Co-Investigator:
Professor P Antwi-Agyei, Kwame Nkrumah Uni of Science & Tech, Theoretical and Applied Biology
Co-Investigator:
Dr A DIENG, Cheikh Anta Diop University of Dakar, Research
Co-Investigator:
Professor H Carr, University of Leeds, Computing
Co-Investigator:
Dr J Mutemi, IGAD Climate Predict & App Cent (ICPAC), UNLISTED
Co-Investigator:
Dr THM Stein, University of Reading, Meteorology
Co-Investigator:
Professor AT Gaye, Cheikh Anta Diop University of Dakar, Research
Co-Investigator:
Dr L AMEKUDZI, Kwame Nkrumah Uni of Science & Tech, Physics
Co-Investigator:
Professor D Parker, University of Leeds, National Centre for Atmospheric Science
Co-Investigator:
Professor J A Omotosho, Federal University of Technology Akure, UNLISTED
Co-Investigator:
Dr A L Taylor, University of Leeds, Leeds University Business School (LUBS)
Science Area:
None
Overall Classification:
Unknown
ENRIs:
None
Science Topics:
Land - Atmosphere Interactions
Numerical weather prediction
Large Scale Dynamics/Transport
Weather modelling
Tropospheric Processes
Convective precipitation
Remote sensing
Weather forecasting
Natural hazards
Geography and Development
Natural hazards
Nat Resources, Env & Rural Dev
Abstract:
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.
Period of Award:
1 Oct 2017 - 31 Mar 2022
Value:
£7,971,410
Authorised funds only
NERC Reference:
NE/P021077/1
Grant Stage:
Completed
Scheme:
RCUK
Grant Status:
Closed
Programme:
GCRF Grow GC

This grant award has a total value of £7,971,410  

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FDAB - Financial Details (Award breakdown by headings)

DI - Other CostsException - Other CostsIndirect - Indirect CostsDA - InvestigatorsDI - StaffDA - Estate CostsDA - Other Directly AllocatedDI - T&S
£440,825£3,011,028£1,442,817£329,126£1,697,321£559,454£45,423£445,417

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