A novel non-homogeneous hidden Markov model for simulating and predicting monthly rainfall
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 accommodate external fac...
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Veröffentlicht in: | Theoretical and applied climatology 2021, Vol.143 (1-2), p.627-638 |
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Format: | Artikel |
Sprache: | eng |
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