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Modelling Seasonality and Trends in Daily Rainfall Data.
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posted on 2023-06-08, 04:54 authored by Peter M WilliamsThis paper presents a new approach to modelling daily rainfall using neural networks. We fist model the conditional distributions of rainfall amounts, in such a way that the model itself determines the order of the process, and the time-dependent shape and scale of the conditional distributions. After integrating over particular weather patterns, we are able to extracxt seasonal variations and long-term trends.
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Publication status
- Published
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Advances in Neural Information Processing Systems 10. Jordan MI Kearns MJ and Solla SA (Eds). The MIT Press.Publisher URL
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985-991Presentation Type
- paper
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Advances in Neural Information Processing SystemsEvent type
conferenceDepartment affiliated with
- Informatics Publications
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- Yes
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2012-02-06Usage metrics
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