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In this paper, a quantitative precipitation estimation based on the hydrometeor classification (HCA-QPE) algorithm was proposed for the first operational S band dual-polarization radar upgraded from the CINRAD/SA radar of China. The HCA-QPE algorithm, localized Colorado State University-Hydrometeor Identification of Rainfall (CSUHIDRO) algorithm, the Joint Polarization Experiment (JPOLE) algorithm, and the dynamic Z-R relationships based on variational correction QPE (DRVC-QPE) algorithm were evaluated with the rainfall events from March 1 to October 30, 2017 in Guangdong Province. The results indicated that even though the HCA-QPE algorithm did not use the observed rainfall data for correction, its estimation accuracy was better than that of the DRVC-QPE algorithm when the rainfall rate was greater than 5 mm h-1; and the stronger the rainfall intensity, the greater the QPE improvement. Besides, the HCA-QPE algorithm worked better than the localized CSU-HIDRO and JPOLE algorithms. This study preliminarily evaluated the improved accuracy of QPE by a dual-polarization radar system modified from CINRAD-SA radar. [ABSTRACT FROM AUTHOR]

First, based on routine meteorological data, the synoptic characteristics of a heavy warm-sector rainfall that occurred on June 13, 2008 in the Pearl River Delta were analyzed. Second, a mesoscale numerical model, Weather Research and Forecasting (WRFV2.2), was used to simulate the heavy rainfall. Diagnostic analyses were done of moist potential vorticity (MPV) for its horizontal components (MPV2) and vertical components (MPV1) based on the simulation results of WRFV2.2 to identify the mechanism of the rainfall development. The results showed that the heavy rainfall occurred when there were high MPV1 in the upper levels and low MPV1 and high MPV2 in the lower levels. Disturbances of high MPV1 in the upper levels came from the southwest or northwest, those of low MPV1 in the lower levels came from the southwest, and those of high MPV2 came from the south. Disturbances of low MPV1 at low levels were the direct cause of convective instability. Enhanced vertical shear of meridional wind led to increased MPV2 at lower levels, strengthened baroclinicity, and active warm and wet flows. These distributions of MPV helped to trigger the release of unstable energy and produce warm-sector heavy rainfall. As it integrates the evolution of dynamic and thermal fields, MPV is able to reveal the development of this heavy rainfall effectively. [ABSTRACT FROM AUTHOR]