TY - JOUR
T1 - Improved accuracy of radar WPMM estimated rainfall upon application of objective classification criteria
AU - Rosenfeld, D.
AU - Amitai, E.
AU - Wolff, D. B.
PY - 1995
Y1 - 1995
N2 - Application of the window probability matching method to radar and rain gauge data that have been objectively classified 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 1) the horizontal radial reflectivity gradients [dB km-1]; 2) the cloud depth, as scaled by the effective efficiency; 3) the brightband fraction within the radar field window; and 4) the height of the freezing level. Combining physical parameters to identify the type of precipitation and statistical relations most appropriate to the precipitation types results in considerable improvement of both point and areal rainfall measurements. -Authors
AB - Application of the window probability matching method to radar and rain gauge data that have been objectively classified 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 1) the horizontal radial reflectivity gradients [dB km-1]; 2) the cloud depth, as scaled by the effective efficiency; 3) the brightband fraction within the radar field window; and 4) the height of the freezing level. Combining physical parameters to identify the type of precipitation and statistical relations most appropriate to the precipitation types results in considerable improvement of both point and areal rainfall measurements. -Authors
UR - http://www.scopus.com/inward/record.url?scp=0028806855&partnerID=8YFLogxK
U2 - 10.1175/1520-0450-34.1.212
DO - 10.1175/1520-0450-34.1.212
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AN - SCOPUS:0028806855
SN - 0894-8763
VL - 34
SP - 212
EP - 223
JO - Journal of Applied Meteorology
JF - Journal of Applied Meteorology
IS - 1
ER -