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Media type:
E-Article
Title:
Probabilistic representation of the temporal rainfall process by a modified Neyman‐Scott Rectangular Pulses Model: Parameter estimation and validation
Contributor:
Entekhabi, Dara;
Rodriguez‐Iturbe, Ignacio;
Eagleson, Peter S.
imprint:
American Geophysical Union (AGU), 1989
Published in:Water Resources Research
Language:
English
DOI:
10.1029/wr025i002p00295
ISSN:
0043-1397;
1944-7973
Origination:
Footnote:
Description:
<jats:p>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.</jats:p>