Modelling Seasonality and Trends in Daily Rainfall Data
نویسنده
چکیده
This paper presents a new approach to the problem of modelling daily rainfall 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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تاریخ انتشار 1997