A non-parametric hidden Markov model for climate state identification
Hidden Markov models (HMMs) can allow for the varying wet and dry cycles in the climate without the need to simulate supplementary climate variables. The fitting of a parametric HMM relies upon assumptions for the state conditional distributions. It is shown that inappropriate assumptions abou...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2003-01-01
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Series: | Hydrology and Earth System Sciences |
Online Access: | http://www.hydrol-earth-syst-sci.net/7/652/2003/hess-7-652-2003.pdf |