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Analysis of event‐based precipitation data with a view toward modeling
Author(s) -
Guttorp Peter
Publication year - 1988
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr024i001p00035
Subject(s) - precipitation , event (particle physics) , storm , point process , environmental science , parametric model , relation (database) , poisson process , process (computing) , parametric statistics , duration (music) , meteorology , climatology , poisson distribution , computer science , statistics , mathematics , data mining , geology , geography , art , physics , literature , quantum mechanics , operating system
Using data from two stations in the MAP3S acid precipitation monitoring network, some aspects of the marked point process of rainfall events are investigated and are used to illustrate some potentially useful data analytic techniques. We find no statistically significant evidence against a Poisson process model of storm arrivals, observed with a dead time corresponding to event duration. In particular, we look at the relation between amounts and the history of the process of events and the relation between events at two different stations. Events that occur close to previous events tend to have smaller than average precipitation amounts. We discuss some implications for parametric models of precipitation processes.