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Probabilistic representation of the temporal rainfall process by a modified Neyman‐Scott Rectangular Pulses Model: Parameter estimation and validation
Author(s) -
Entekhabi Dara,
RodriguezIturbe Ignacio,
Eagleson Peter S.
Publication year - 1989
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/wr025i002p00295
Subject(s) - storm , statistics , mathematics , estimation theory , representation (politics) , point process , extreme value theory , scale parameter , generalized extreme value distribution , point estimation , probabilistic logic , stochastic modelling , meteorology , geography , politics , political science , law
The capability of the Neyman‐Scott clustered stochastic point process model of rainfall to preserve various observed statistics is considered. Randomization of the cell duration parameter from storm to storm is shown to considerably improve the wet‐dry period, joint distribution, and extreme value statistics. A simple procedure for parameter estimation is introduced and applied.