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


  • 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.

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