Statistics of extremes in climate change

被引:194
|
作者
Katz, Richard W. [1 ]
机构
[1] NCAR, Inst Math Appl Geosci, Boulder, CO 80307 USA
基金
美国国家科学基金会;
关键词
EVENTS; DAMAGE;
D O I
10.1007/s10584-010-9834-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页码:71 / 76
页数:6
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