Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sauer, Inga J., Reese, Ronja, Otto, Christian, Geiger, Tobias, Willner, Sven N., Guillod, Benoit P., Bresch, David N., Frieler, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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
_version_ 1783676683682840576
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
work_keys_str_mv AT saueringaj climatesignalsinriverflooddamagesemergeundersoundregionaldisaggregation
AT reeseronja climatesignalsinriverflooddamagesemergeundersoundregionaldisaggregation
AT ottochristian climatesignalsinriverflooddamagesemergeundersoundregionaldisaggregation
AT geigertobias climatesignalsinriverflooddamagesemergeundersoundregionaldisaggregation
AT willnersvenn climatesignalsinriverflooddamagesemergeundersoundregionaldisaggregation
AT guillodbenoitp climatesignalsinriverflooddamagesemergeundersoundregionaldisaggregation
AT breschdavidn climatesignalsinriverflooddamagesemergeundersoundregionaldisaggregation
AT frielerkatja climatesignalsinriverflooddamagesemergeundersoundregionaldisaggregation