TY - JOUR
T1 - The window probability matching method for rainfall measurements with radar
AU - Rosenfeld, D.
AU - Wolff, D. B.
AU - Amitai, E.
PY - 1994
Y1 - 1994
N2 - A relatively small sample size (about 600 mm for all gauges combined) is required to achieve a stable Ze-R relation with a standard deviation of 15 of R for a given Ze. The obtained Ze-R relations are curved lines in log-log space and therefore may better represent the transformation of Ze into R than any straight-line power law. The window probability matching method (WPMM) also performs significantly better for rainfall integrations than power law. The standard deviation of the WPMM rainfall integration, after correction for systematic bias errors, is only two-thirds that of the standard deviation obtained when using a power law based on disdrometer measured drop size distribution. -from Authors
AB - A relatively small sample size (about 600 mm for all gauges combined) is required to achieve a stable Ze-R relation with a standard deviation of 15 of R for a given Ze. The obtained Ze-R relations are curved lines in log-log space and therefore may better represent the transformation of Ze into R than any straight-line power law. The window probability matching method (WPMM) also performs significantly better for rainfall integrations than power law. The standard deviation of the WPMM rainfall integration, after correction for systematic bias errors, is only two-thirds that of the standard deviation obtained when using a power law based on disdrometer measured drop size distribution. -from Authors
UR - http://www.scopus.com/inward/record.url?scp=0028574989&partnerID=8YFLogxK
U2 - 10.1175/1520-0450(1994)033<0682:TWPMMF>2.0.CO;2
DO - 10.1175/1520-0450(1994)033<0682:TWPMMF>2.0.CO;2
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AN - SCOPUS:0028574989
SN - 0894-8763
VL - 33
SP - 682
EP - 693
JO - Journal of Applied Meteorology
JF - Journal of Applied Meteorology
IS - 6
ER -