SCALE CONSIDERATIONS IN THE MODELING OF TEMPORAL RAINFALL
SCALE CONSIDERATIONS IN THE MODELING OF TEMPORAL RAINFALL
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DOI：
10.1029/wr020i011p01611
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发表时间：
1984-01-01
影响因子：
5.4
通讯作者：
WAYMIRE, E
中科院分区：
文献类型：
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作者：
RODRIGUEZ-ITURBE, I;GUPTA, VK;WAYMIRE, E
时间降雨的观测总是采取累积量在不相交的间隔代表不同的时间尺度，如小时，天等，在这些尺度的降雨过程的数学描述取决于尺度的测量。这个例子是使用三个随机模型进行的，这些模型具有不同的依赖结构，从完全独立和马尔可夫依赖到非马尔可夫聚类依赖。估计模型参数的问题也被证明是绑在测量的规模。本图采用了来自科罗拉多丹佛的每小时和每日降雨量数据以及来自委内瑞拉阿瓜弗里亚的每日降雨量数据。
Observations on temporal rainfall are invariably taken in cumulative amounts over disjoint intervals representing different time scales such as hours, days, etc. At these scales a mathematical description of the rainfall process is shown to depend on the scale of measurements. This illustration is carried out employing three stochastic models having different dependence structures which range from complete independence and Markovian dependence to non‐Markovian clustering dependence. The problem of estimating the model parameters is also shown to be tied to the scale of measurements. Hourly and daily rainfall data from Denver, Colorado, and daily rainfall data from Agua Fria, Venezuela, are employed for this illustration.