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Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales

  • Stefan Lange*
  • , Jan Volkholz
  • , Tobias Geiger
  • , Fang Zhao
  • , Iliusi Vega
  • , Ted Veldkamp
  • , Christopher P.O. Reyer
  • , Lila Warszawski
  • , Veronika Huber
  • , Jonas Jägermeyr
  • , Jacob Schewe
  • , David N. Bresch
  • , Matthias Büchner
  • , Jinfeng Chang
  • , Philippe Ciais
  • , Marie Dury
  • , Kerry Emanuel
  • , Christian Folberth
  • , Dieter Gerten
  • , Simon N. Gosling
  • Manolis Grillakis, Naota Hanasaki, Alexandra Jane Henrot, Thomas Hickler, Yasushi Honda, Akihiko Ito, Nikolay Khabarov, Aristeidis Koutroulis, Wenfeng Liu, Christoph Müller, Kazuya Nishina, Sebastian Ostberg, Hannes Müller Schmied, Sonia I. Seneviratne, Tobias Stacke, Jörg Steinkamp, Wim Thiery, Yoshihide Wada, Sven Willner, Hong Yang, Minoru Yoshikawa, Chao Yue, Katja Frieler*
*Corresponding author for this work
  • Member of the Leibniz Association
  • Deutscher Wetterdienst
  • Vrije Universiteit Amsterdam
  • International Institute for Applied Systems Analysis, Laxenburg
  • Universidad Pablo de Olavide
  • NASA Goddard Institute for Space Studies
  • The University of Chicago
  • Swiss Federal Institute of Technology Zurich
  • Federal Office of Meteorology and Climatology MeteoSwiss
  • Université Paris-Saclay
  • University of Liege
  • Massachusetts Institute of Technology
  • Humboldt University of Berlin
  • University of Nottingham
  • Institute for Mediterranean Studies
  • National Institute for Environmental Studies of Japan
  • Goethe University Frankfurt
  • Senckenberg Leibniz Biodiversity and Climate Research Centre Frankfurt (SBiK-F)
  • University of Tsukuba
  • Technical University of Crete
  • Swiss Federal Institute of Aquatic Science and Technology
  • Helmholtz-Zentrum Hereon
  • Johannes Gutenberg University Mainz
  • Vrije Universiteit Brussel
  • University of Basel
  • Mizuho Financial Group
  • Northwest Agriculture and Forestry University

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article numbere2020EF001616
JournalEarth's Future
Volume8
Issue number12
DOIs
StatePublished - Dec 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

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