Substantial changes in the probability of future annual temperature extremes

Abstract Extreme temperature events causing significant environmental and humanitarian impacts are expected to increase in frequency and magnitude due to global warming. The latest generation of climate model projections, Coupled Model Intercomparison Project Phase Six (CMIP6), provides a new and im...

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Published in:Atmospheric Science Letters
Main Authors: Slater, Ross, Freychet, Nicolas, Hegerl, Gabriele
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2021
Subjects:
Online Access:http://dx.doi.org/10.1002/asl.1061
https://onlinelibrary.wiley.com/doi/pdf/10.1002/asl.1061
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/asl.1061
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spelling crwiley:10.1002/asl.1061 2024-06-02T08:02:42+00:00 Substantial changes in the probability of future annual temperature extremes Slater, Ross Freychet, Nicolas Hegerl, Gabriele 2021 http://dx.doi.org/10.1002/asl.1061 https://onlinelibrary.wiley.com/doi/pdf/10.1002/asl.1061 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/asl.1061 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/asl.1061 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Atmospheric Science Letters volume 22, issue 11 ISSN 1530-261X 1530-261X journal-article 2021 crwiley https://doi.org/10.1002/asl.1061 2024-05-03T10:49:20Z Abstract Extreme temperature events causing significant environmental and humanitarian impacts are expected to increase in frequency and magnitude due to global warming. The latest generation of climate model projections, Coupled Model Intercomparison Project Phase Six (CMIP6), provides a new and improved database to investigate change in future daily scale extreme temperature events. This study examines the changes in 1, 3, and 5 day averaged annual maximum temperature in four large CMIP6 ensembles. It analyses, using a generalized extreme value (GEV) method, the change in extreme daily mean temperatures at 1.5 and 2°C of global warming, levels highlighted by the 2016 Paris Agreement, and additionally at 3°C. Extremely hot events are characterized using the annual maxima of daily near surface air temperature in the SSP370 scenario. Global changes in the mode of the distributions (location parameter) follow long‐term summer warming and show very similar spatial patterns. Changes in variability (scale parameter) show a clear trend of increases over the tropics and decreases over higher latitudes, while changes to the tails of distributions (shape parameter) show less globally consistent trends but clear signals over the Arctic sea ice, behaviour also seen in variability. Risk ratios (RRs) indicating the change in probability of hot daily extremes that currently have a 10 year return period increase globally with mean temperature change, with greater increases over the tropics. Globally averaged changes in RR over land range from 3.1–3.6 to 7.9–8.3 for 1.5 and 3°C of warming, respectively. For the latter case, this indicates previously rare, once‐in‐a‐decade summer extremes will occur almost annually in the future under high warming. Article in Journal/Newspaper Arctic Global warming Sea ice Wiley Online Library Arctic Atmospheric Science Letters 22 11
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Extreme temperature events causing significant environmental and humanitarian impacts are expected to increase in frequency and magnitude due to global warming. The latest generation of climate model projections, Coupled Model Intercomparison Project Phase Six (CMIP6), provides a new and improved database to investigate change in future daily scale extreme temperature events. This study examines the changes in 1, 3, and 5 day averaged annual maximum temperature in four large CMIP6 ensembles. It analyses, using a generalized extreme value (GEV) method, the change in extreme daily mean temperatures at 1.5 and 2°C of global warming, levels highlighted by the 2016 Paris Agreement, and additionally at 3°C. Extremely hot events are characterized using the annual maxima of daily near surface air temperature in the SSP370 scenario. Global changes in the mode of the distributions (location parameter) follow long‐term summer warming and show very similar spatial patterns. Changes in variability (scale parameter) show a clear trend of increases over the tropics and decreases over higher latitudes, while changes to the tails of distributions (shape parameter) show less globally consistent trends but clear signals over the Arctic sea ice, behaviour also seen in variability. Risk ratios (RRs) indicating the change in probability of hot daily extremes that currently have a 10 year return period increase globally with mean temperature change, with greater increases over the tropics. Globally averaged changes in RR over land range from 3.1–3.6 to 7.9–8.3 for 1.5 and 3°C of warming, respectively. For the latter case, this indicates previously rare, once‐in‐a‐decade summer extremes will occur almost annually in the future under high warming.
format Article in Journal/Newspaper
author Slater, Ross
Freychet, Nicolas
Hegerl, Gabriele
spellingShingle Slater, Ross
Freychet, Nicolas
Hegerl, Gabriele
Substantial changes in the probability of future annual temperature extremes
author_facet Slater, Ross
Freychet, Nicolas
Hegerl, Gabriele
author_sort Slater, Ross
title Substantial changes in the probability of future annual temperature extremes
title_short Substantial changes in the probability of future annual temperature extremes
title_full Substantial changes in the probability of future annual temperature extremes
title_fullStr Substantial changes in the probability of future annual temperature extremes
title_full_unstemmed Substantial changes in the probability of future annual temperature extremes
title_sort substantial changes in the probability of future annual temperature extremes
publisher Wiley
publishDate 2021
url http://dx.doi.org/10.1002/asl.1061
https://onlinelibrary.wiley.com/doi/pdf/10.1002/asl.1061
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/asl.1061
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/asl.1061
geographic Arctic
geographic_facet Arctic
genre Arctic
Global warming
Sea ice
genre_facet Arctic
Global warming
Sea ice
op_source Atmospheric Science Letters
volume 22, issue 11
ISSN 1530-261X 1530-261X
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1002/asl.1061
container_title Atmospheric Science Letters
container_volume 22
container_issue 11
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