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Abstract:
This paper presents a new approach to the problem of
modelling daily rainfall using using neural networks. We first
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 extract seasonal variations and long-term trends.
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