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Spatial Rainfall Modelling Using the Sum of Four Correlated Gamma Variables

机译:使用四个相关的伽马变量的总和的空间降雨建模

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This study aims to develop a spatial rainfall model for four meteorological stations in the River Murray upper reaches within the Murray-Darling Basin (MDB) in Australia. We use the sum of n correlated Gamma variables to model the sum of monthly rainfall totals for four stations within the MDB whenever there is significant correlation between the stations. The sum of n correlated Gamma variables has been used successfully in the telecommunications field. We assess the statistical significance of our model for four meteorological stations using the KolmogorovSmirnov goodness of fit test The results demonstrate that the sum of n correlated Gamma model is suitable in spatial rainfall modeling.
机译:本研究旨在在澳大利亚穆雷 - 达令盆地(MDB)内的默里河上游四个气象站的空间降雨模型。我们使用N相关伽马变量的总和来模拟MDB内的四个站的每月降雨量总计,只要站在站之间存在显着相关性。 N相关伽马变量的总和已成功使用电信字段。我们使用Kolmogorovsmirnov良好测试评估我们的四个气象站模型的统计学意义,结果表明,N相关伽玛模型的总和适用于空间降雨建模。

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