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Title: Characterizing half‐a‐degree difference: a review of methods for identifying regional climate responses to global warming targets

Abstract

The Paris Agreement long‐term global temperature goal refers to two global warming levels: well below 2°C and 1.5°C above preindustrial. Regional climate signals at specific global warming levels, and especially the differences between 1.5°C and 2°C, are not well constrained, however. In particular, methodological challenges related to the assessment of such differences have received limited attention. This article reviews alternative approaches for identifying regional climate signals associated with global temperature limits, and evaluates the extent to which they constitute a sound basis for impacts analysis. Four methods are outlined, including comparing data from different greenhouse gas scenarios, sub‐selecting climate models based on global temperature response, pattern scaling, and extracting anomalies at the time of each global temperature increment. These methods have rarely been applied to compare 2°C with 1.5°C, but some demonstrate potential avenues for useful research. Nevertheless, there are methodological challenges associated with the use of existing climate model experiments, which are generally designed to model responses to different levels of greenhouse gas forcing, rather than to model climate responses to a specific level of forcing that targets a given level of global temperature change. Novel approaches may be required to address policy questions, in particular: to differentiate betweenmore » half degree warming increments while accounting for different sources of uncertainty; to examine mechanisms of regional climate change including the potential for nonlinear responses; and to explore the relevance of time‐lagged processes in the climate system and declining emissions, and the resulting sensitivity to alternative mitigation pathways. WIREs Clim Change 2017, 8:e457. doi: 10.1002/wcc.457 This article is categorized under: Assessing Impacts of Climate Change > Scenario Development and Application« less

Authors:
ORCiD logo [1];  [2];  [3];  [4];  [5]
  1. Environmental Change Institute University of Oxford Oxford UK
  2. Climate Research Lab Oxford University Centre for the Environment Oxford UK
  3. Climate Analytics Berlin Germany, Potsdam Institute for Climate Impact Research Potsdam Germany
  4. Energy Program International Institute for Applied Systems Analysis Laxenburg Austria, Institute for Atmospheric and Climate Science ETH Zurich Zürich Switzerland
  5. Grantham Research Institute on Climate Change &, the Environment London School of Economics and Political Science London UK
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1341092
Alternate Identifier(s):
OSTI ID: 1341093
Resource Type:
Published Article
Journal Name:
Wiley Interdisciplinary Reviews. Climate Change
Additional Journal Information:
Journal Name: Wiley Interdisciplinary Reviews. Climate Change Journal Volume: 8 Journal Issue: 2; Journal ID: ISSN 1757-7780
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United States
Language:
English

Citation Formats

James, Rachel, Washington, Richard, Schleussner, Carl‐Friedrich, Rogelj, Joeri, and Conway, Declan. Characterizing half‐a‐degree difference: a review of methods for identifying regional climate responses to global warming targets. United States: N. p., 2017. Web. doi:10.1002/wcc.457.
James, Rachel, Washington, Richard, Schleussner, Carl‐Friedrich, Rogelj, Joeri, & Conway, Declan. Characterizing half‐a‐degree difference: a review of methods for identifying regional climate responses to global warming targets. United States. https://doi.org/10.1002/wcc.457
James, Rachel, Washington, Richard, Schleussner, Carl‐Friedrich, Rogelj, Joeri, and Conway, Declan. Tue . "Characterizing half‐a‐degree difference: a review of methods for identifying regional climate responses to global warming targets". United States. https://doi.org/10.1002/wcc.457.
@article{osti_1341092,
title = {Characterizing half‐a‐degree difference: a review of methods for identifying regional climate responses to global warming targets},
author = {James, Rachel and Washington, Richard and Schleussner, Carl‐Friedrich and Rogelj, Joeri and Conway, Declan},
abstractNote = {The Paris Agreement long‐term global temperature goal refers to two global warming levels: well below 2°C and 1.5°C above preindustrial. Regional climate signals at specific global warming levels, and especially the differences between 1.5°C and 2°C, are not well constrained, however. In particular, methodological challenges related to the assessment of such differences have received limited attention. This article reviews alternative approaches for identifying regional climate signals associated with global temperature limits, and evaluates the extent to which they constitute a sound basis for impacts analysis. Four methods are outlined, including comparing data from different greenhouse gas scenarios, sub‐selecting climate models based on global temperature response, pattern scaling, and extracting anomalies at the time of each global temperature increment. These methods have rarely been applied to compare 2°C with 1.5°C, but some demonstrate potential avenues for useful research. Nevertheless, there are methodological challenges associated with the use of existing climate model experiments, which are generally designed to model responses to different levels of greenhouse gas forcing, rather than to model climate responses to a specific level of forcing that targets a given level of global temperature change. Novel approaches may be required to address policy questions, in particular: to differentiate between half degree warming increments while accounting for different sources of uncertainty; to examine mechanisms of regional climate change including the potential for nonlinear responses; and to explore the relevance of time‐lagged processes in the climate system and declining emissions, and the resulting sensitivity to alternative mitigation pathways. WIREs Clim Change 2017, 8:e457. doi: 10.1002/wcc.457 This article is categorized under: Assessing Impacts of Climate Change > Scenario Development and Application},
doi = {10.1002/wcc.457},
journal = {Wiley Interdisciplinary Reviews. Climate Change},
number = 2,
volume = 8,
place = {United States},
year = {Tue Jan 24 00:00:00 EST 2017},
month = {Tue Jan 24 00:00:00 EST 2017}
}

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https://doi.org/10.1002/wcc.457

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