2016
DOI: 10.1007/s10584-016-1605-5
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Benefits of mitigation for future heat extremes under RCP4.5 compared to RCP8.5

Abstract: Using ensembles from the Community Earth System Model (CESM) under a high and a lower emission scenarios, we investigate changes in statistics of extreme daily temperature. 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 r… Show more

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Cited by 55 publications
(37 citation statements)
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“…The frequency and intensity of cold extremes would decrease in the future, while they are projected to increase significantly in the warm extremes. Therefore, it is necessary to reduce GHG emissions and take adaptation measures to control the increase in the warm events [22,42].…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…The frequency and intensity of cold extremes would decrease in the future, while they are projected to increase significantly in the warm extremes. Therefore, it is necessary to reduce GHG emissions and take adaptation measures to control the increase in the warm events [22,42].…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Originally introduced by Zwiers and Kharin (1998) and Kharin and Zwiers (2000) to provide statistically rigorous projections of future extreme temperature and precipitation, such GEV analyses, both stationary and non-stationary, are now widespread throughout the literature including recent assessment reports of the International Panel on Climate Change (Seneviratne et al, 2012;Collins et al, 2013). The particulars of the details of the GEV analysis used in this study are described in the Supplement of Tebaldi and Wehner (2018).…”
Section: Methodsmentioning
confidence: 99%
“…We can consider the spatial distribution of extreme temperature events by following the methodology of Tebaldi and Wehner (2016), which fits a generalized extreme value (GEV) distribution to the upper tail of 3-day temperature averages for both the historical period in this case) and the future (2071-2100) under different scenarios. The GEV is used to assess, historically, the 3-day average temperature which would be considered a 1-in-20-year event.…”
Section: Temperature Extremesmentioning
confidence: 99%