Statistics of extremes in climate change

This editorial essay concerns the use (or lack thereof) of the statistics of extremes in climate change research. So far, the statistical theory of extreme values has been primarily applied to climate under the assumption of stationarity. How this theory can be applied in the context of climate change, including implications for the analysis of the economic impacts of extremes, is described. Future research challenges include the statistical modeling of complex extreme events, such as heat waves, and taking into account spatial dependence in the statistical modeling of extremes for fields of climate observations or of numerical model output. Addressing these challenges will require increased collaboration between climate scientists and statisticians.

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An edited version of this paper was published by Springer. Copyright 2010 Springer.


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Author Katz, Richard
Publisher UCAR/NCAR - Library
Publication Date 2010-05-19T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:23:16.127077
Metadata Record Identifier edu.ucar.opensky::articles:10355
Metadata Language eng; USA
Suggested Citation Katz, Richard. (2010). Statistics of extremes in climate change. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d70k291x. Accessed 21 June 2025.

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