Stochastic Models for Precipitation

Peter Purdue & Z. Govindarajulu
Abstract: In this project a stochastic model, using Semi-Markov Processes, was developed to simulate daily rainfall patterns in Kentucky. This model contains many of the currently used models as special cases and is applicable at any station in Kentucky as well as elsewhere. For use in Kentucky an 8 state Semi-Markov Process is developed and the parameters of the model are determined from historical rainfall data. The model is tested at 4 different stations in...
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