Articles | Volume 24, issue 1
https://doi.org/10.5194/nhess-24-199-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-199-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jan 2024
Research article |
| 26 Jan 2024
| 26 Jan 2024
Impact-based flood forecasting in the Greater Horn of Africa
Lorenzo Alfieri
CORRESPONDING AUTHOR
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
Andrea Libertino
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
Lorenzo Campo
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
Francesco Dottori
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
Simone Gabellani
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
Tatiana Ghizzoni
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
Alessandro Masoero
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
Lauro Rossi
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
Roberto Rudari
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
Nicola Testa
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
Eva Trasforini
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
Ahmed Amdihun
IGAD Climate Prediction and Applications Centre (ICPAC), Nairobi, Kenya
Jully Ouma
IGAD Climate Prediction and Applications Centre (ICPAC), Nairobi, Kenya
United Nations Office for Disaster Risk Reduction (UNDRR), Regional Office for Africa, Nairobi, Kenya
Luca Rossi
United Nations Office for Disaster Risk Reduction (UNDRR), Regional Office for Africa, Nairobi, Kenya
Yves Tramblay
HSM, University of Montpellier, CNRS, IRD, Montpellier, France
Espace-Dev, Univ. Montpellier, IRD, Montpellier, France
Huan Wu
Southern Marine Science and Engineering Laboratory (Zhuhai), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, 519082, China
Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou, 510275, China
Marco Massabò
CIMA Research Foundation, University Campus of Savona, Via Armando Magliotto 2, 17100 Savona, Italy
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Manuscript not accepted for further review
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Hydrol. Earth Syst. Sci., 25, 653–669, https://doi.org/10.5194/hess-25-653-2021, https://doi.org/10.5194/hess-25-653-2021, 2021
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In North Africa, the vulnerability to floods is high, and there is a need to improve the flood-forecasting systems. Remote-sensing and reanalysis data can palliate the lack of in situ measurements, in particular for soil moisture, which is a crucial parameter to consider when modeling floods. In this study we provide an evaluation of recent globally available soil moisture products for flood modeling in Morocco.
Cited articles
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Short summary
This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the Greater Horn of Africa. It is based on hydrological simulations, inundation mapping, and estimation of population and assets exposed to upcoming river floods. The system supports duty officers in African institutions in the daily monitoring of hydro-meteorological disasters. A first evaluation shows the system performance for the catastrophic floods in the Nile River basin in summer 2020.
This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the...
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