Improved accuracy of radar WPMM estimated rainfall upon application of objective classification criteria
Improved accuracy of radar WPMM estimated rainfall upon application of objective classification criteria
复制标题
应用客观分类标准提高雷达 WPMM 估计降雨量的准确性
DOI：
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发表时间：
1995
期刊：
影响因子：
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通讯作者：
D. Wolff
中科院分区：
文献类型：
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作者：
D. Rosenfeld;E. Amitai;D. Wolff
Abstract Application of the window probability matching method to radar and rain gauge data that have been objectivelyclassified into different rain types resulted in distinctly different Ze-R relationships for the various classifications.The classification parameters, in addition to the range from the radar, are (a) the horizontal radial reflectivitygradients [dB km-1; (b) the cloud depth, as scaled by the effective efficiency; (c) the brightband fraction withinthe radar field window; and (d) the height of the freezing level. Combining physical parameters to identify thetype of precipitation and statistical relations most appropriate to the precipitation types results in considerableimprovement of both point and areal rainfall measurements. A limiting factor in the assessment ofthe improvedaccuracy is the inherent variance between the true rain intensity at the radar measured volume and the rainintensity at the mouth of the rain gauge. Therefore, a very dense rain gauge network is required to validate mo...
