4.7 Article

Increased population exposure to precipitation extremes under future warmer climates

Journal

ENVIRONMENTAL RESEARCH LETTERS
Volume 15, Issue 3, Pages -

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/1748-9326/ab751f

Keywords

precipitation extremes; population exposure; climate change; CESM; 1.5 degrees C

Funding

  1. Strategic Priority Research Program of the Chinese Academy of Sciences [XDA23090102]
  2. National Natural Science Foundation of China [41922034, 41991284]
  3. National Key Research and Development Program of China [2016YFA0602401]

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Precipitation extremes are among the most dangerous climate-related hazards, and these hazards often cause large socioeconomic losses and exert severe human health impacts each year. It is thus crucial to assess future exposure changes to precipitation extremes under different warming scenarios to improve the mitigation of climate change. Here, we project future exposure using a set of Coupled Earth System Model low-warming simulations and RCP8.5 large ensemble simulations. We find that the precipitation extremes are projected to significantly increase over the coming century under different future warming scenarios at both the global and regional levels. Compared to a 1.5 degrees C warmer climate, the 0.5 degrees C of additional warming under a 2.0 degrees C warmer future would increase the number of days of global aggregate precipitation extremes by approximately 3.6% by the end of this century. As a result, the global aggregate exposure is reported to increase by approximately 2.3% if the surface air temperature increases to 2.0 degrees C rather than 1.5 degrees C. An increase in exposure is also obvious for most regions across the world, and the largest increase in the future occurs over North Asia in response to the 0.5 degrees C of additional warming. Furthermore, exposure would increase more rapidly if the temperature increased following the RCP8.5 pathway. The exposure increase varies at the regional level, but in most cases, climate change shows more influential than that of the population; in addition, this influence does not depend on the population outcomes used here.

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