A novel non-homogeneous hidden Markov model for simulating and predicting monthly rainfall
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DOI: 10.1007/s00704-020-03447-2
Abstract: Monthly-to-seasonal precipitation forecasts are important in water resource management. Hidden Markov models (HMM) are widely applied in precipitation simulation due to its simplicity and advancements in associated computing techniques. HMMs, however, lack the flexibility to… read more here.
Keywords: hidden markov; markov model; homogeneous hidden; non homogeneous ... See more keywords