Global projections of river flood risk in a warmer world
- Autores
- Alfieri, Lorenzo; Bisselink, Berny; Dottori, Francesco; Naumann, Gustavo; de Roo, Ad; Salamon, Peter; Wyser, Klaus; Feyen, Luc
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Rising global temperature has put increasing pressure on understanding the linkage between atmospheric warming and the occurrence of natural hazards. While the Paris Agreement has set the ambitious target to limiting global warming to 1.5°C compared to preindustrial levels, scientists are urged to explore scenarios for different warming thresholds and quantify ranges of socioeconomic impact. In this work, we present a framework to estimate the economic damage and population affected by river floods at global scale. It is based on a modeling cascade involving hydrological, hydraulic and socioeconomic impact simulations, and makes use of state-of-the-art global layers of hazard, exposure and vulnerability at 1-km grid resolution. An ensemble of seven high-resolution global climate projections based on Representative Concentration Pathways 8.5 is used to derive streamflow simulations in the present and in the future climate. Those were analyzed to assess the frequency and magnitude of river floods and their impacts under scenarios corresponding to 1.5°C, 2°C, and 4°C global warming. Results indicate a clear positive correlation between atmospheric warming and future flood risk at global scale. At 4°C global warming, countries representing more than 70% of the global population and global gross domestic product will face increases in flood risk in excess of 500%. Changes in flood risk are unevenly distributed, with the largest increases in Asia, U.S., and Europe. In contrast, changes are statistically not significant in most countries in Africa and Oceania for all considered warming levels.
Fil: Alfieri, Lorenzo. European Commission. Joint Research Centre; Italia
Fil: Bisselink, Berny. European Commission. Joint Research Centre; Italia
Fil: Dottori, Francesco. European Commission. Joint Research Centre; Italia
Fil: Naumann, Gustavo. European Commission. Joint Research Centre; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: de Roo, Ad. European Commission. Joint Research Centre; Italia
Fil: Salamon, Peter. European Commission. Joint Research Centre; Italia
Fil: Wyser, Klaus. Swedish Meteorological and Hydrological Institute; Suecia
Fil: Feyen, Luc. European Commission. Joint Research Centre; Italia - Materia
-
CLIMATE CHANGE
FLOOD FREQUENCY
FLOOD RISK
MODEL AGREEMENT
RCP 8.5
SPECIFIC WARMING LEVELS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/59702
Ver los metadatos del registro completo
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Global projections of river flood risk in a warmer worldAlfieri, LorenzoBisselink, BernyDottori, FrancescoNaumann, Gustavode Roo, AdSalamon, PeterWyser, KlausFeyen, LucCLIMATE CHANGEFLOOD FREQUENCYFLOOD RISKMODEL AGREEMENTRCP 8.5SPECIFIC WARMING LEVELShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Rising global temperature has put increasing pressure on understanding the linkage between atmospheric warming and the occurrence of natural hazards. While the Paris Agreement has set the ambitious target to limiting global warming to 1.5°C compared to preindustrial levels, scientists are urged to explore scenarios for different warming thresholds and quantify ranges of socioeconomic impact. In this work, we present a framework to estimate the economic damage and population affected by river floods at global scale. It is based on a modeling cascade involving hydrological, hydraulic and socioeconomic impact simulations, and makes use of state-of-the-art global layers of hazard, exposure and vulnerability at 1-km grid resolution. An ensemble of seven high-resolution global climate projections based on Representative Concentration Pathways 8.5 is used to derive streamflow simulations in the present and in the future climate. Those were analyzed to assess the frequency and magnitude of river floods and their impacts under scenarios corresponding to 1.5°C, 2°C, and 4°C global warming. Results indicate a clear positive correlation between atmospheric warming and future flood risk at global scale. At 4°C global warming, countries representing more than 70% of the global population and global gross domestic product will face increases in flood risk in excess of 500%. Changes in flood risk are unevenly distributed, with the largest increases in Asia, U.S., and Europe. In contrast, changes are statistically not significant in most countries in Africa and Oceania for all considered warming levels.Fil: Alfieri, Lorenzo. European Commission. Joint Research Centre; ItaliaFil: Bisselink, Berny. European Commission. Joint Research Centre; ItaliaFil: Dottori, Francesco. European Commission. Joint Research Centre; ItaliaFil: Naumann, Gustavo. European Commission. Joint Research Centre; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: de Roo, Ad. European Commission. Joint Research Centre; ItaliaFil: Salamon, Peter. European Commission. Joint Research Centre; ItaliaFil: Wyser, Klaus. Swedish Meteorological and Hydrological Institute; SueciaFil: Feyen, Luc. European Commission. Joint Research Centre; ItaliaJohn Wiley & Sons Inc2017-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/59702Alfieri, Lorenzo; Bisselink, Berny; Dottori, Francesco; Naumann, Gustavo; de Roo, Ad; et al.; Global projections of river flood risk in a warmer world; John Wiley & Sons Inc; Earth's Future; 5; 2; 2-2017; 171-1822328-4277CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/2016EF000485info:eu-repo/semantics/altIdentifier/url/https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2016EF000485info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:44:13Zoai:ri.conicet.gov.ar:11336/59702instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:44:13.937CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Global projections of river flood risk in a warmer world |
title |
Global projections of river flood risk in a warmer world |
spellingShingle |
Global projections of river flood risk in a warmer world Alfieri, Lorenzo CLIMATE CHANGE FLOOD FREQUENCY FLOOD RISK MODEL AGREEMENT RCP 8.5 SPECIFIC WARMING LEVELS |
title_short |
Global projections of river flood risk in a warmer world |
title_full |
Global projections of river flood risk in a warmer world |
title_fullStr |
Global projections of river flood risk in a warmer world |
title_full_unstemmed |
Global projections of river flood risk in a warmer world |
title_sort |
Global projections of river flood risk in a warmer world |
dc.creator.none.fl_str_mv |
Alfieri, Lorenzo Bisselink, Berny Dottori, Francesco Naumann, Gustavo de Roo, Ad Salamon, Peter Wyser, Klaus Feyen, Luc |
author |
Alfieri, Lorenzo |
author_facet |
Alfieri, Lorenzo Bisselink, Berny Dottori, Francesco Naumann, Gustavo de Roo, Ad Salamon, Peter Wyser, Klaus Feyen, Luc |
author_role |
author |
author2 |
Bisselink, Berny Dottori, Francesco Naumann, Gustavo de Roo, Ad Salamon, Peter Wyser, Klaus Feyen, Luc |
author2_role |
author author author author author author author |
dc.subject.none.fl_str_mv |
CLIMATE CHANGE FLOOD FREQUENCY FLOOD RISK MODEL AGREEMENT RCP 8.5 SPECIFIC WARMING LEVELS |
topic |
CLIMATE CHANGE FLOOD FREQUENCY FLOOD RISK MODEL AGREEMENT RCP 8.5 SPECIFIC WARMING LEVELS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Rising global temperature has put increasing pressure on understanding the linkage between atmospheric warming and the occurrence of natural hazards. While the Paris Agreement has set the ambitious target to limiting global warming to 1.5°C compared to preindustrial levels, scientists are urged to explore scenarios for different warming thresholds and quantify ranges of socioeconomic impact. In this work, we present a framework to estimate the economic damage and population affected by river floods at global scale. It is based on a modeling cascade involving hydrological, hydraulic and socioeconomic impact simulations, and makes use of state-of-the-art global layers of hazard, exposure and vulnerability at 1-km grid resolution. An ensemble of seven high-resolution global climate projections based on Representative Concentration Pathways 8.5 is used to derive streamflow simulations in the present and in the future climate. Those were analyzed to assess the frequency and magnitude of river floods and their impacts under scenarios corresponding to 1.5°C, 2°C, and 4°C global warming. Results indicate a clear positive correlation between atmospheric warming and future flood risk at global scale. At 4°C global warming, countries representing more than 70% of the global population and global gross domestic product will face increases in flood risk in excess of 500%. Changes in flood risk are unevenly distributed, with the largest increases in Asia, U.S., and Europe. In contrast, changes are statistically not significant in most countries in Africa and Oceania for all considered warming levels. Fil: Alfieri, Lorenzo. European Commission. Joint Research Centre; Italia Fil: Bisselink, Berny. European Commission. Joint Research Centre; Italia Fil: Dottori, Francesco. European Commission. Joint Research Centre; Italia Fil: Naumann, Gustavo. European Commission. Joint Research Centre; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: de Roo, Ad. European Commission. Joint Research Centre; Italia Fil: Salamon, Peter. European Commission. Joint Research Centre; Italia Fil: Wyser, Klaus. Swedish Meteorological and Hydrological Institute; Suecia Fil: Feyen, Luc. European Commission. Joint Research Centre; Italia |
description |
Rising global temperature has put increasing pressure on understanding the linkage between atmospheric warming and the occurrence of natural hazards. While the Paris Agreement has set the ambitious target to limiting global warming to 1.5°C compared to preindustrial levels, scientists are urged to explore scenarios for different warming thresholds and quantify ranges of socioeconomic impact. In this work, we present a framework to estimate the economic damage and population affected by river floods at global scale. It is based on a modeling cascade involving hydrological, hydraulic and socioeconomic impact simulations, and makes use of state-of-the-art global layers of hazard, exposure and vulnerability at 1-km grid resolution. An ensemble of seven high-resolution global climate projections based on Representative Concentration Pathways 8.5 is used to derive streamflow simulations in the present and in the future climate. Those were analyzed to assess the frequency and magnitude of river floods and their impacts under scenarios corresponding to 1.5°C, 2°C, and 4°C global warming. Results indicate a clear positive correlation between atmospheric warming and future flood risk at global scale. At 4°C global warming, countries representing more than 70% of the global population and global gross domestic product will face increases in flood risk in excess of 500%. Changes in flood risk are unevenly distributed, with the largest increases in Asia, U.S., and Europe. In contrast, changes are statistically not significant in most countries in Africa and Oceania for all considered warming levels. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-02 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/59702 Alfieri, Lorenzo; Bisselink, Berny; Dottori, Francesco; Naumann, Gustavo; de Roo, Ad; et al.; Global projections of river flood risk in a warmer world; John Wiley & Sons Inc; Earth's Future; 5; 2; 2-2017; 171-182 2328-4277 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/59702 |
identifier_str_mv |
Alfieri, Lorenzo; Bisselink, Berny; Dottori, Francesco; Naumann, Gustavo; de Roo, Ad; et al.; Global projections of river flood risk in a warmer world; John Wiley & Sons Inc; Earth's Future; 5; 2; 2-2017; 171-182 2328-4277 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1002/2016EF000485 info:eu-repo/semantics/altIdentifier/url/https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2016EF000485 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
John Wiley & Sons Inc |
publisher.none.fl_str_mv |
John Wiley & Sons Inc |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613391694430208 |
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13.070432 |