journal article Aug 01, 1991

A Hidden Markov Model for Space‐Time Precipitation

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Abstract
A family of multivariate models for the occurrence/nonoccurrence of precipitation at N sites is constructed by assuming a different joint probability of events at the sites for each of a number of unobservable climate states. The climate process is assumed to follow a Markov chain. Simple formulae for first‐ and second‐order parameter functions are derived, and used to find starting values for a numerical maximization of the likelihood. The method is illustrated by applying it to data for one site in Washington and to data for a network in the Great Plains.
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References
Details
Published
Aug 01, 1991
Vol/Issue
27(8)
Pages
1917-1923
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Cite This Article
Walter Zucchini, Peter Guttorp (1991). A Hidden Markov Model for Space‐Time Precipitation. Water Resources Research, 27(8), 1917-1923. https://doi.org/10.1029/91wr01403