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Climate signals in river flood damages emerge under sound regional disaggregation
Climate change affects precipitation patterns. Here, we investigate whether its signals are already detectable in reported river flood damages. We develop an empirical model to reconstruct observed damages and quantify the contributions of climate and socio-economic drivers to observed trends. We sh...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035337/ https://www.ncbi.nlm.nih.gov/pubmed/33837199 http://dx.doi.org/10.1038/s41467-021-22153-9 |
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author | Sauer, Inga J. Reese, Ronja Otto, Christian Geiger, Tobias Willner, Sven N. Guillod, Benoit P. Bresch, David N. Frieler, Katja |
author_facet | Sauer, Inga J. Reese, Ronja Otto, Christian Geiger, Tobias Willner, Sven N. Guillod, Benoit P. Bresch, David N. Frieler, Katja |
author_sort | Sauer, Inga J. |
collection | PubMed |
description | Climate change affects precipitation patterns. Here, we investigate whether its signals are already detectable in reported river flood damages. We develop an empirical model to reconstruct observed damages and quantify the contributions of climate and socio-economic drivers to observed trends. We show that, on the level of nine world regions, trends in damages are dominated by increasing exposure and modulated by changes in vulnerability, while climate-induced trends are comparably small and mostly statistically insignificant, with the exception of South & Sub-Saharan Africa and Eastern Asia. However, when disaggregating the world regions into subregions based on river-basins with homogenous historical discharge trends, climate contributions to damages become statistically significant globally, in Asia and Latin America. In most regions, we find monotonous climate-induced damage trends but more years of observations would be needed to distinguish between the impacts of anthropogenic climate forcing and multidecadal oscillations. |
format | Online Article Text |
id | pubmed-8035337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80353372021-04-30 Climate signals in river flood damages emerge under sound regional disaggregation Sauer, Inga J. Reese, Ronja Otto, Christian Geiger, Tobias Willner, Sven N. Guillod, Benoit P. Bresch, David N. Frieler, Katja Nat Commun Article Climate change affects precipitation patterns. Here, we investigate whether its signals are already detectable in reported river flood damages. We develop an empirical model to reconstruct observed damages and quantify the contributions of climate and socio-economic drivers to observed trends. We show that, on the level of nine world regions, trends in damages are dominated by increasing exposure and modulated by changes in vulnerability, while climate-induced trends are comparably small and mostly statistically insignificant, with the exception of South & Sub-Saharan Africa and Eastern Asia. However, when disaggregating the world regions into subregions based on river-basins with homogenous historical discharge trends, climate contributions to damages become statistically significant globally, in Asia and Latin America. In most regions, we find monotonous climate-induced damage trends but more years of observations would be needed to distinguish between the impacts of anthropogenic climate forcing and multidecadal oscillations. Nature Publishing Group UK 2021-04-09 /pmc/articles/PMC8035337/ /pubmed/33837199 http://dx.doi.org/10.1038/s41467-021-22153-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sauer, Inga J. Reese, Ronja Otto, Christian Geiger, Tobias Willner, Sven N. Guillod, Benoit P. Bresch, David N. Frieler, Katja Climate signals in river flood damages emerge under sound regional disaggregation |
title | Climate signals in river flood damages emerge under sound regional disaggregation |
title_full | Climate signals in river flood damages emerge under sound regional disaggregation |
title_fullStr | Climate signals in river flood damages emerge under sound regional disaggregation |
title_full_unstemmed | Climate signals in river flood damages emerge under sound regional disaggregation |
title_short | Climate signals in river flood damages emerge under sound regional disaggregation |
title_sort | climate signals in river flood damages emerge under sound regional disaggregation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8035337/ https://www.ncbi.nlm.nih.gov/pubmed/33837199 http://dx.doi.org/10.1038/s41467-021-22153-9 |
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