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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 Williams
This 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.

History

Publication status

  • Published

Publisher

Advances in Neural Information Processing Systems 10. Jordan MI Kearns MJ and Solla SA (Eds). The MIT Press.

Page range

985-991

Presentation Type

  • paper

Event name

Advances in Neural Information Processing Systems

Event type

conference

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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