Drought analysis based on a cluster Poisson model:: distribution of the most severe drought

被引：16

作者：

Abaurrea, J ^{[1
]}

Cebrián, AC ^{[1
]}

机构：

[1] Univ Zaragoza, Dpto Metodos Estadist, Zaragoza 50009, Spain

来源：

CLIMATE RESEARCH | 2002年 / 22卷 / 03期

关键词：

drought analysis; Poisson cluster process; maximum in a random size sample; threshold methods; extreme values;

D O I：

10.3354/cr022227

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This work aims to characterize the largest drought event to occur in a given period of time. A Poisson cluster process is used to model drought occurrence and a vector of 3 random variables (duration, deficit and maximum intensity) to describe their severity. Some results on the distribution of the maximum in a random size sample are developed in order to describe the largest drought events.

引用

页码：227 / 235

页数：9

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