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

CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials 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* 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 PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in CR Vol. 22, No. 3. Online publication date: November 04, 2002 Print ISSN: 0936-577X; Online ISSN: 1616-1572 Copyright © 2002 Inter-Research.