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Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020

Understanding the influence of climate change on past extreme weather impacts is a vital research task. However, the effects of climate change are obscured in the observed impact data series due to the rapid evolution of the social and economic circumstances in which the events occurred. The HANZE v...

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Autores principales: Paprotny, Dominik, Mengel, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250532/
https://www.ncbi.nlm.nih.gov/pubmed/37291254
http://dx.doi.org/10.1038/s41597-023-02282-0
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author Paprotny, Dominik
Mengel, Matthias
author_facet Paprotny, Dominik
Mengel, Matthias
author_sort Paprotny, Dominik
collection PubMed
description Understanding the influence of climate change on past extreme weather impacts is a vital research task. However, the effects of climate change are obscured in the observed impact data series due to the rapid evolution of the social and economic circumstances in which the events occurred. The HANZE v2.0 (Historical Analysis of Natural HaZards in Europe) dataset presented in this study quantifies the evolution of key socioeconomic drivers in Europe since 1870, namely land use, population, economic activity and assets. It consists of algorithms to reallocate baseline (2011) land use and population for any given year based on a large collection of historical subnational- and national-level statistics, and then disaggregate data on production and tangible assets by economic sector into a high-resolution grid. Raster datasets generated by the model enable reconstructing exposure within the footprint of any extreme event both at the time of occurrence and anytime between 1870 and 2020. This allows the separation of the effects of climate change from the effects of exposure change.
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spelling pubmed-102505322023-06-10 Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020 Paprotny, Dominik Mengel, Matthias Sci Data Data Descriptor Understanding the influence of climate change on past extreme weather impacts is a vital research task. However, the effects of climate change are obscured in the observed impact data series due to the rapid evolution of the social and economic circumstances in which the events occurred. The HANZE v2.0 (Historical Analysis of Natural HaZards in Europe) dataset presented in this study quantifies the evolution of key socioeconomic drivers in Europe since 1870, namely land use, population, economic activity and assets. It consists of algorithms to reallocate baseline (2011) land use and population for any given year based on a large collection of historical subnational- and national-level statistics, and then disaggregate data on production and tangible assets by economic sector into a high-resolution grid. Raster datasets generated by the model enable reconstructing exposure within the footprint of any extreme event both at the time of occurrence and anytime between 1870 and 2020. This allows the separation of the effects of climate change from the effects of exposure change. Nature Publishing Group UK 2023-06-08 /pmc/articles/PMC10250532/ /pubmed/37291254 http://dx.doi.org/10.1038/s41597-023-02282-0 Text en © The Author(s) 2023 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 Data Descriptor
Paprotny, Dominik
Mengel, Matthias
Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020
title Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020
title_full Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020
title_fullStr Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020
title_full_unstemmed Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020
title_short Population, land use and economic exposure estimates for Europe at 100 m resolution from 1870 to 2020
title_sort population, land use and economic exposure estimates for europe at 100 m resolution from 1870 to 2020
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10250532/
https://www.ncbi.nlm.nih.gov/pubmed/37291254
http://dx.doi.org/10.1038/s41597-023-02282-0
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