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Title: Benefits of mitigation for future heat extremes under RCP4.5 compared to RCP8.5

Journal Article · · Climatic Change
 [1];  [2]
  1. National Center for Atmospheric Research, Boulder, CO (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

We investigate changes in statistics of extreme daily temperature using ensembles from the Community Earth System Model (CESM) under a high and a lower emission scenarios, . The ensembles provide large samples for a robust application of extreme value theory. We estimate return values and return periods for annual maxima of the daily high and low temperatures as well as the 3-day averages of the same variables in current and future climate. Results indicate statistically significant increases (compared to the reference period of 1996–2005) in extreme temperatures over all land areas as early as 2025 under both scenarios, with statistically significant differences between them becoming pervasive over the globe by 2050. The substantially smaller changes, for all indices, produced under the lower emission case translate into sizeable benefits from emission mitigation: By 2075, in terms of reduced changes in 1-day heat extremes, about 95 % of land regions would see benefits of 1 °C or more under the lower emissions scenario, and 50 % or more of the land areas would benefit by at least 2 °C. 6 % of the land area would benefit by 3 °C or more in projected extreme minimum temperatures and 13 % would benefit by this amount for extreme maximum temperature. Benefits for 3-day metrics are similar. The future frequency of current extremes is also greatly reduced by mitigation: by the end of the century, under RCP8.5 more than half the land area experiences the current 20-year events every year while only between about 10 and 25 % of the area is affected by such severe changes under RCP4.5.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1379038
Journal Information:
Climatic Change, Vol. 2016; ISSN 0165-0009
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (2)

Heat wave Intensity Duration Frequency Curve: A Multivariate Approach for Hazard and Attribution Analysis journal October 2019
Scenario dependence of future changes in climate extremes under 1.5 °C and 2 °C global warming journal April 2017

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