STatistical Early WArning systems of weather-related Risks from probabilistic forecasts, over cities in West Africa – STEWARd
With the increase in the severity and occurrence of natural disasters in recent years over West Africa, a better prediction of their impacts is of key challenge. This project aims to develop a forecast model on weather-related risk on population over high vulnerable cities: Abidjan, Dakar, Ouagadougou and Niamey. It will focus on intense hydro-meteorological events, responsible of the largest number of fatalities over West Africa, heat waves and dust storms, risk factors for bacterial meningitis. To achieve that goal, optimizing and extracting robust information from big datasets derived from reanalysis and probabilistic forecast models are necessary. The objectives are to identify the high impacting hazard events thanks to field investigations on impacts and to extract robust and meaningful early warning indices of weather-related risks from numerical models. This project is innovative in assessing the predictability of the risks thanks to tailoring and multi-disciplinary approaches.
Monsieur Arona DIEDHIOU (Institut des Géosciences de l'Environnement)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
IGE Institut des Géosciences de l'Environnement
LATMOS Laboratoire "Atmosphères, Milieux, Observations Spatiales"
ESPACE-DEV ESPACE pour le DEVeloppement
Help of the ANR 469,978 euros
Beginning and duration of the scientific project: September 2020 - 48 Months