Physical-empirical models for prediction of seasonal rainfall extremes of peninsular Malaysia
Reliable prediction of rainfall extremes is vital for disaster management, particularly in the context of increasing rainfall extremes due to global climate change. Physical-empirical models have been developed in this study using three widely used Machine Learning (ML) methods namely, Support Vecto...
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| Main Authors: | , , |
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| Format: | Article |
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Elsevier B.V.
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/89777/ http://dx.doi.org/10.1016/j.atmosres.2019.104720 |
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