Probabilistic representation of the temporal rainfall process by a modified NeymanScott Rectangular Pulses Model: Parameter estimation and validation Academic Article

abstract

• The capability of the NeymanScott 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 wetdry period, joint distribution, and extreme value statistics. A simple procedure for parameter estimation is introduced and applied. Copyright 1989 by the American Geophysical Union.

authors

• Rodriguez-Iturbe, Ignacio

published proceedings

• Water Resources Research

altmetric score

• 3

author list (cited authors)

• Entekhabi, D., RodriguezIturbe, I., & Eagleson, P. S.

citation count

• 111

complete list of authors

• Entekhabi, Dara||Rodriguez‐Iturbe, Ignacio||Eagleson, Peter S

publication date

• February 1989

publisher

• American Geophysical Union (AGU)  Publisher

published in

• Water Resources Research  Journal

keywords

• Bioengineering

Digital Object Identifier (DOI)

• 10.1029/wr025i002p00295

start page

• 295

end page

• 302

volume

• 25

issue

• 2

URL

• http://dx.doi.org/10.1029/wr025i002p00295