The window probability matching method for rainfall measurements with radar

A relatively small sample size (about 600 mm for all gauges combined) is required to achieve a stable Z_e-R relation with a standard deviation of 15 of R for a given Z_e. The obtained Z_e-R relations are curved lines in log-log space and therefore may better represent the transformation of Z_e 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