Precipitation Simulation Model for Mountainous Areas

by Clayton L. Hanson, USDA-Agricultural Research Service, USDA-ARS, Tucson, United States,
David A. Woolhiser, USDA-Agricultural Research Service, USDA-ARS, Tucson, United States,



Document Type: Proceeding Paper

Part of: Hydraulics/Hydrology of Arid Lands (H²AL)

Abstract:

This study investigated the use of the Markov chain-mixed exponential (MCME) model as a means of obtaining synthetic daily precipitation amounts at a site, based on knowledge of the mean annual precipitation of the site. Data for this study were from 25 National Weather Service stations in Idaho. There was a relationship between annual precipitation and some of the parameters in the MCME model, and other parameters could be assumed constant.



Subject Headings: Markov process | Data analysis | Mountains | Precipitation | Simulation models

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