Data-driven analysis of annual rain distributions

Yosef Ashkenazy, Naftali R. Smith

Research output: Contribution to journalArticlepeer-review

Abstract

Rainfall is an important component of the climate system, and its statistical properties are vital for prediction purposes. In this study, we have developed a statistical method for constructing the distribution of annual precipitation. The method is based on the convolution of the measured monthly rainfall distributions and does not depend on any presumed annual rainfall distribution. Using a simple statistical model, we demonstrate that our approach allows for a better prediction of extremely dry or wet years with a recurrence time several times longer than the original time series. The method that has been proposed can be utilized for other climate variables as well.

Original languageEnglish
Article number023187
JournalPhysical Review Research
Volume6
Issue number2
DOIs
StatePublished - 1 Apr 2024

ASJC Scopus subject areas

  • General Physics and Astronomy

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