Multidimensional rainfall parameter estimation from sparse network

Royal W. Koepsell, Juan B Valdes

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The multidimensional precipitation model proposed by Waymire et al. provides realistic representations of the rainfall process. The model, however, in its most simplified form requires the numerical evaluation of nine parameters. Islam et al. developed a parameter estimation procedure and they applied the methodology to a small experimental basin with a dense network of rain gauges. In this paper the same estimation procedure is attempted over a larger area where only a sparse rain-gauge network is available. Parameter estimates are determined for cyclonic-midlatitude and convective storms, which are characteristic of the winter and summer rain seasons over the test basin. Using the seasonal storm parameter estimates, multidimensional model storms are generated over the Brazos Valley in Texas, and the storms are assessed qualitatively.

Original languageEnglish (US)
Pages (from-to)832-850
Number of pages19
JournalJournal of Hydraulic Engineering
Volume117
Issue number7
DOIs
StatePublished - 1991
Externally publishedYes

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Parameter estimation
Rain
Rain gages
rainfall
gauge
Precipitation (meteorology)
basin
valley
methodology
parameter estimation
winter
summer
rain
parameter

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering
  • Water Science and Technology

Cite this

Multidimensional rainfall parameter estimation from sparse network. / Koepsell, Royal W.; Valdes, Juan B.

In: Journal of Hydraulic Engineering, Vol. 117, No. 7, 1991, p. 832-850.

Research output: Contribution to journalArticle

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