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A modelling-chain linking climate science and decision-makers for future urban flood management in West Africa
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 realisti...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483900/ https://www.ncbi.nlm.nih.gov/pubmed/36161075 http://dx.doi.org/10.1007/s10113-022-01943-x |
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author | 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 |
author_facet | 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 |
author_sort | Miller, James D. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10113-022-01943-x. |
format | Online Article Text |
id | pubmed-9483900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-94839002022-09-19 A modelling-chain linking climate science and decision-makers for future urban flood management in West Africa 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 Reg Environ Change Original Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10113-022-01943-x. Springer Berlin Heidelberg 2022-07-09 2022 /pmc/articles/PMC9483900/ /pubmed/36161075 http://dx.doi.org/10.1007/s10113-022-01943-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article 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 A modelling-chain linking climate science and decision-makers for future urban flood management in West Africa |
title | A modelling-chain linking climate science and decision-makers for future urban flood management in West Africa |
title_full | A modelling-chain linking climate science and decision-makers for future urban flood management in West Africa |
title_fullStr | A modelling-chain linking climate science and decision-makers for future urban flood management in West Africa |
title_full_unstemmed | A modelling-chain linking climate science and decision-makers for future urban flood management in West Africa |
title_short | A modelling-chain linking climate science and decision-makers for future urban flood management in West Africa |
title_sort | modelling-chain linking climate science and decision-makers for future urban flood management in west africa |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483900/ https://www.ncbi.nlm.nih.gov/pubmed/36161075 http://dx.doi.org/10.1007/s10113-022-01943-x |
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