Citation
Liew J.N., . and Tangang F.T., . and Mohd Salmi Md. Noorani, . (2003) Modelling Malaysian high precipitation anomaly via Nonhomogeneous Hidden Markov Model. [Proceedings Paper]
Abstract
In this study we adopted the Nonhomogeneous Hidden Markov Model NHMM approach proposed by Hughes and Guttorp 1994 to stochastically link the Sea Surface Temperature SST anomaly field in Pacific Ocean to local high precipitation anomaly event. The NHMM approach postulated the existence of unobserved weather states which serves as a link between the large scale SST anomaly and the extreme precipitation event at four local rain gauge stations. A 45-year sequence of monthly data was used for modelling. It is noticed that the low SST anomaly in the middle of Pacific Ocean and relatively high SST anomaly to the North tends to increase the occurrence probability of extreme precipitation in local stations.
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Abstract
In this study we adopted the Nonhomogeneous Hidden Markov Model NHMM approach proposed by Hughes and Guttorp 1994 to stochastically link the Sea Surface Temperature SST anomaly field in Pacific Ocean to local high precipitation anomaly event. The NHMM approach postulated the existence of unobserved weather states which serves as a link between the large scale SST anomaly and the extreme precipitation event at four local rain gauge stations. A 45-year sequence of monthly data was used for modelling. It is noticed that the low SST anomaly in the middle of Pacific Ocean and relatively high SST anomaly to the North tends to increase the occurrence probability of extreme precipitation in local stations.
Additional Metadata
Item Type: | Proceedings Paper |
---|---|
AGROVOC Term: | RAINWATER |
AGROVOC Term: | PRECIPITATION |
AGROVOC Term: | METHODS |
AGROVOC Term: | WEATHER |
AGROVOC Term: | WEATHER REPORTS |
AGROVOC Term: | ATMOSPHERIC CIRCULATION |
AGROVOC Term: | OCEANIC CLIMATE |
AGROVOC Term: | PRECIPITATION DEFICIT |
AGROVOC Term: | MALAYSIA |
Geographical Term: | MALAYSIA |
Depositing User: | Ms. Norfaezah Khomsan |
Last Modified: | 24 Apr 2025 05:27 |
URI: | http://webagris.upm.edu.my/id/eprint/16226 |
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