CR 22:227-235(2002) - doi: 10.3354/cr022227
Drought analysis based on a cluster Poisson model: distribution of the most severe drought
Jesús Abaurrea, Ana Carmen Cebrián*
*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 |