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

共 50 条

[1] Drought analysis based on a marked cluster Poisson model
Cebrian, Ana C.
Abaurrea, Jesus
JOURNAL OF HYDROMETEOROLOGY, 2006, 7 (04) : 713 - 723
[2] Drought frequency analysis using cluster analysis and bivariate probability distribution
Yoo, Jiyoung
Kwon, Hyun-Han
Kim, Tae-Woong
Ahn, Jae-Hyun
JOURNAL OF HYDROLOGY, 2012, 420 : 102 - 111
[3] Drought analysis framework based on copula and Poisson process with nonstationarity
Wu, Pei-Yu
You, Gene Jiing-Yun
Chan, Ming-Hsiu
JOURNAL OF HYDROLOGY, 2020, 588
[4] Identification of drought and frequency analysis of drought characteristics based on palmer drought severity index model
Zhou, Yuliang
Liu, Li
Zhou, Ping
Jin, Juliang
Li, Jianqiang
Wu, Chengguo
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2014, 30 (23): : 174 - 184
[5] Regional drought distribution model
Henriques, AG
Santos, MJJ
PHYSICS AND CHEMISTRY OF THE EARTH PART B-HYDROLOGY OCEANS AND ATMOSPHERE, 1999, 24 (1-2): : 19 - 22
[6] Analysis of the severe drought in Ireland in 2018
Falzoi, Simone
Gleeson, Emily
Lambkin, Keith
Zimmermann, Jesko
Marwaha, Richa
O'Hara, Robert
Green, Stuart
Fratianni, Simona
WEATHER, 2019, 74 (11) : 368 - 373
[7] DrinC: a software for drought analysis based on drought indices
Tigkas, Dimitris
Vangelis, Harris
Tsakiris, George
EARTH SCIENCE INFORMATICS, 2015, 8 (03) : 697 - 709
[8] DrinC: a software for drought analysis based on drought indices
Dimitris Tigkas
Harris Vangelis
George Tsakiris
Earth Science Informatics, 2015, 8 : 697 - 709
[9] Detection and analysis of drought over Turkey with remote sensing and model-based drought indices
Khorrami, Behnam
Gunduz, Orhan
GEOCARTO INTERNATIONAL, 2022, 37 (26) : 12171 - 12193
[10] A theoretical drought classification method for the multivariate drought index based on distribution properties of standardized drought indices
Hao, Zengchao
Hao, Fanghua
Singh, Vijay P.
Xia, Youlong
Ouyang, Wei
Shen, Xinyi
ADVANCES IN WATER RESOURCES, 2016, 92 : 240 - 247

← 1 2 3 4 5 →