Stefan Lange
Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales
Lange, Stefan; Volkholz, Jan; Geiger, Tobias; Zhao, Fang; Vega, Iliusi; Veldkamp, Ted; Reyer, Christopher P. O.; Warszawski, Lila; Huber, Veronika; J�germeyr, Jonas; Schewe, Jacob; Bresch, David N.; B�chner, Matthias; Chang, Jinfeng; Ciais, Philippe; Dury, Marie; Emanuel, Kerry; Folberth, Christian; Gerten, Dieter; Gosling, Simon N.; Grillakis, Manolis; Hanasaki, Naota; Henrot, Alexandra?Jane; Hickler, Thomas; Honda, Yasushi; Ito, Akihiko; Khabarov, Nikolay; Koutroulis, Aristeidis; Liu, Wenfeng; M�ller, Christoph; Nishina, Kazuya; Ostberg, Sebastian; M�ller Schmied, Hannes; Seneviratne, Sonia I.; Stacke, Tobias; Steinkamp, J?rg; Thiery, Wim; Wada, Yoshihide; Willner, Sven; Yang, Hong; Yoshikawa, Minoru; Yue, Chao; Frieler, Katja
Authors
Jan Volkholz
Tobias Geiger
Fang Zhao
Iliusi Vega
Ted Veldkamp
Christopher P. O. Reyer
Lila Warszawski
Veronika Huber
Jonas J�germeyr
Jacob Schewe
David N. Bresch
Matthias B�chner
Jinfeng Chang
Philippe Ciais
Marie Dury
Kerry Emanuel
Christian Folberth
Dieter Gerten
Dr SIMON GOSLING SIMON.GOSLING@NOTTINGHAM.AC.UK
Professor of Climate Risks and Environmental Modelling
Manolis Grillakis
Naota Hanasaki
Alexandra?Jane Henrot
Thomas Hickler
Yasushi Honda
Akihiko Ito
Nikolay Khabarov
Aristeidis Koutroulis
Wenfeng Liu
Christoph M�ller
Kazuya Nishina
Sebastian Ostberg
Hannes M�ller Schmied
Sonia I. Seneviratne
Tobias Stacke
J?rg Steinkamp
Wim Thiery
Yoshihide Wada
Sven Willner
Hong Yang
Minoru Yoshikawa
Chao Yue
Katja Frieler
Abstract
©2020. The Authors. The extent and impact of climate-related extreme events depend on the underlying meteorological, hydrological, or climatological drivers as well as on human factors such as land use or population density. Here we quantify the pure effect of historical and future climate change on the exposure of land and population to extreme climate impact events using an unprecedentedly large ensemble of harmonized climate impact simulations from the Inter-Sectoral Impact Model Intercomparison Project phase 2b. Our results indicate that global warming has already more than doubled both the global land area and the global population annually exposed to all six categories of extreme events considered: river floods, tropical cyclones, crop failure, wildfires, droughts, and heatwaves. Global warming of 2°C relative to preindustrial conditions is projected to lead to a more than fivefold increase in cross-category aggregate exposure globally. Changes in exposure are unevenly distributed, with tropical and subtropical regions facing larger increases than higher latitudes. The largest increases in overall exposure are projected for the population of South Asia.
Citation
Lange, S., Volkholz, J., Geiger, T., Zhao, F., Vega, I., Veldkamp, T., …Frieler, K. (2020). Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales. Earth's Future, 8(12), Article e2020EF001616. https://doi.org/10.1029/2020EF001616
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 21, 2020 |
Online Publication Date | Nov 26, 2020 |
Publication Date | Dec 1, 2020 |
Deposit Date | Nov 26, 2020 |
Publicly Available Date | Nov 27, 2020 |
Journal | Earth's Future |
Electronic ISSN | 2328-4277 |
Publisher | Wiley Open Access |
Peer Reviewed | Peer Reviewed |
Volume | 8 |
Issue | 12 |
Article Number | e2020EF001616 |
DOI | https://doi.org/10.1029/2020EF001616 |
Public URL | https://nottingham-repository.worktribe.com/output/5065116 |
Publisher URL | https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020EF001616 |
Files
Lange Etal 2020
(6.6 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
Global-scale climate impact functions: the relationship between climate forcing and impact
(2014)
Journal Article
A glossary for biometeorology
(2014)
Journal Article
The impacts of climate change on river flood risk at the global scale
(2014)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search