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CR 22:227-235 (2002)

Abstract

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

Jesús Abaurrea, Ana Carmen Cebrián*

Dpto. Métodos Estadísticos, Universidad de Zaragoza, Ed. Matemáticas, Pedro Cerbuna 12, Zaragoza 50009, Spain

*Corresponding author. E-mail: acebrian@posta.unizar.es

ABSTRACT: 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.

KEY WORDS: Drought analysis · Poisson cluster process · Maximum in a random size sample · Threshold methods · Extreme values

Full text in pdf format

Published in CR Vol. 22, No. 3 (2002) on November 4
Print ISSN: 0936-577X; Online ISSN: 1616-1572. Copyright © Inter-Research, Oldendorf/Luhe, 2002

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