An overview of the SFAS project
by E. Forootan
Developing accurate models to predict rainfall-runoff and flood inundation in medium and large river basins is difficult due to limited on-the-ground data for calibration and the inability of existing models to fully capture all hydrological processes.
To address this challenge, this research project “Space-based Free Flood Awareness System for Africa” (SFAS) is supported by the Independent Research Fund Denmark within the Thematic Green Call 2024. The main goal of this project is to understand coupling processes that lead to extreme hydrological events. The project also addresses challenges of developing high resolution large-scale combined flood inundation and water resources early warning especially in data sparse regions. Demonstrations of SFAS will be within the Niger River Basin, Africa. From AAU, a postdoctoral researcher will work on setting up and running the DHI-Global Hydrological Model and coupling it with a 2D hydraulic flood inundation model. Then, multi-sensor satellite data assimilation and calibration algorithms will be developed to tune the coupled model in the Niger River Basin.
Project members
- AAU Team:
- External Team Members (Top world scientific researchers from):
- DHI (Henrik Madsen & Cecile Kittel & Alexandra Murray)
- University of Bristol (Professor Paul Bates CBE FRS & Jeffrey Neal)
- Bowen University Iwo (Francis Akinluyi)
Publications:
- coming soon…