Abstract
Dual-frequency Precipitation Radar (DPR) on board the core satellite of the Global Precipitation Measurement mission has been operated since March 2014. The standard algorithms to retrieve precipitation rates and related variables from the DPR measurement (DPR algorithms) were revised several times so far. Non-uniform beam filling (NUBF) correction methods are implemented in the version 04 of the DPR algorithms, which have been issued since 2016. In this study, to validate parameters used in the NUBF correction methods, high-resolution DPR synthetic data is produced from ground-based radar data. A new method to estimate NUBF parameters is proposed by using KaPR's high-sensitivity mode. The new method is shown to more accurately estimate NUBF parameters. Two NUBF parameter estimation methods are implemented in the DPR algorithm and the differences in surface rain rate estimates are assessed quantitatively.
