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A modelling-chain linking climate science and decision-makers for future urban flood management in West Africa.

Authors :
Miller, James D.
Vischel, Theo
Fowe, Tazen
Panthou, Geremy
Wilcox, Catherine
Taylor, Christopher M.
Visman, Emma
Coulibaly, Gnenakantanhan
Gonzalez, Pepo
Body, Richard
Vesuviano, Gianni
Bouvier, Christophe
Chahinian, Nanee
Cazenave, Frédéric
Source :
Regional Environmental Change; Sep2022, Vol. 22 Issue 3, p1-14, 14p
Publication Year :
2022

Abstract

Intensification of the hydrological cycle resulting from climate change in West Africa poses significant risks for the region’s rapidly urbanising cities, but limited research on flood risk has been undertaken at the urban domain scale. Furthermore, conventional climate models are unable to realistically represent the type of intense storms which dominate the West African monsoon. This paper presents a decision-first framing of climate research in co-production of a climate-hydrology-flooding modelling chain, linking scientists working on state-of-the-art regional climate science with decision-makers involved in city planning for future urban flood management in the city of Ouagadougou, Burkina Faso. The realistic convection-permitting model over Africa (CP4A) is applied at the urban scale for the first time and data suggest significant intensification of high-impact weather events and demonstrate the importance of considering the spatio-temporal scales in CP4A. Hydrological modelling and hydraulic modelling indicate increases in peak flows and flood extents in Ouagadougou in response to climate change which will be further exacerbated by future urbanisation. Advances in decision-makers’ capability for using climate information within Ouagadougou were observed, and key recommendations applicable to other regional urban areas are made. This study provides proof of concept that a decision-first modelling-chain provides a methodology for co-producing climate information that can, to some extent, bridge the usability gap between what scientists think is useful and what decision-makers need. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14363798
Volume :
22
Issue :
3
Database :
Complementary Index
Journal :
Regional Environmental Change
Publication Type :
Academic Journal
Accession number :
157903929
Full Text :
https://doi.org/10.1007/s10113-022-01943-x