A nonparametric nonhomogeneous hidden Markov model for downscaling of multisite daily rainfall occurrences
نویسندگان
چکیده
منابع مشابه
Downscaling of daily rainfall occurrence over Northeast Brazil using a Hidden Markov Model
A hidden Markov model (HMM) is used to describe daily rainfall occurrence at ten gauge stations in the state of Ceará in northeast Brazil during the February–April wet season 1975–2002. The model assumes that rainfall occurrence is governed by a few discrete states, with Markovian daily transitions between them. Four “hidden” rainfall states are identified. One pair of the states represents wet...
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A stochastic model for relating precipitation occurrences at multiple rain gauge stations to broad-scale atmospheric circulation patterns (the so-called \downscaling problem") is proposed. The model is an example of a nonhomogeneous hidden Markov model and generalizes existing downscaling models in the literature. The model assumes that atmospheric circulation can be classi ed into a small numb...
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A hidden Markov model (HMM) is used to describe daily rainfall occurrence at ten gauge stations in the state of Ceará in northeast Brazil during the February–April wet season 1975–2002. The model assumes that rainfall occurrence is governed by a few discrete states, with Markovian daily transitions between them. Four “hidden” rainfall states are identified. One pair of the states represents wet...
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In this study we model the daily rainfall occurrence using Markov Chain Analogue Yearmodel (MCAYM) and the intensity or amount of daily rainfall using three different probability distributions; gamma, exponential and mixed exponential distributions. Combining the occurrence and intensity model we obtain Markov Chain Analogue Year gamma model (MCAYGM), Markov Chain Analogue Year exponentia...
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ژورنال
عنوان ژورنال: Journal of Geophysical Research
سال: 2005
ISSN: 0148-0227
DOI: 10.1029/2004jd005677