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Generalized Linear Models (GLMs) Approach in Modeling Rainfall Data over Johor Area

机译:柔佛州降雨数据建模的广义线性模型(GLMS)方法

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Observations of rainfall data are always changing over time. With the concern over climate change, this study is done to demonstrate how Generalized Linear Models (GLMs) could be utilized to model daily rainfall amount over Johor area. Hence, in modeling rainfall amount, Fourier series are used as the smoothing technique. This research concentrated on the daily rainfall series with the duration period of 1980 to 2011 from six rainfall stations in Johor area. The results indicated that the rainfall stations demonstrate different behaviours of rainfall patterns. Both stations that are located at the eastern area of Johor which is Mersing and Hospital Kota Tinggi are best described with four and three harmonics, while one harmonic is sufficient to model the mean rainfall per rainy day at the stations that are located at the west of Johor. Based on the resulting curves with fitted smoothing parameters, a good summary of statistics of the six stations were obtained. The results from the model will then be used to compare the rainfall patterns among the stations.
机译:降雨数据的观察始终随着时间的推移而变化。凭借对气候变化的关注,完成了这项研究以证明广泛性的线性模型(GLM)如何用于在柔佛地区进行日常降雨量。因此,在建模降雨量时,傅立叶系列用作平滑技术。这项研究集中在日常降雨系列上,从柔佛地区的六个降雨站持续1980年至2011年。结果表明,降雨站展示了降雨模式的不同行为。位于柔佛州东部地区的站点和医院哥打廷吉最好用四个和三个谐波描述,而一个谐波足以在位于西部的地站模拟平均降雨柔佛。基于由拟合平滑参数的所得到的曲线,获得了六个站的统计统计综述。该模型的结果将用于比较站中的降雨模式。

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