Journal
JOURNAL OF CLIMATE
Volume 24, Issue 7, Pages 1922-1930Publisher
AMER METEOROLOGICAL SOC
DOI: 10.1175/2011JCLI4150.1
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Funding
- DECC and Defra Integrated Climate Programme (DECC/Defra) [GA01101]
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Formal detection and attribution analyses of changes in daily extremes give evidence of a significant human influence on the increasing severity of extremely warm nights and decreasing severity of extremely cold days and nights. This paper presents an optimal fingerprinting analysis that also detects the contributions of external forcings to recent changes in extremely warm days using nonstationary extreme value theory. The authors' analysis is the first that attempts to partition the observed change in warm daytime extremes between its anthropogenic and natural components and hence attribute part of the change to possible causes. Changes in the extreme temperatures are represented by the temporal changes in a parameter of an extreme value distribution. Regional distributions of the trend in the parameter are computed with and without human influence using constraints from the global optimal fingerprinting analysis. Anthropogenic forcings alter the regional distributions, indicating that extremely warm days have become hotter.
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