Statistics of extremes in climate change

被引:0
|
作者
Richard W. Katz
机构
[1] NCAR,Institute for Mathematics Applied to Geosciences
来源
Climatic Change | 2010年 / 100卷
关键词
Heat Wave; Extreme Event; Climate Change Research; Block Maximum; Generalize Pareto;
D O I
暂无
中图分类号
学科分类号
摘要
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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页码:71 / 76
页数:5
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