研究期間：10108~10207;In Taiwan, the Mei-yu fronts in May and June and the typhoons in summer and early fall often induce strong southwesterly flows and consequent heavy rainfall, resulting in severe disasters. Therefore, the accuracy of quantitative precipitation estimation and forecast (QPE and QPF) is of great importance. Weather surveillance radars provide observational data at fine temporal and spatial resolutions; moreover, dual polarimetric radars offer parameters such as reflectivity (Z), differential reflectivity (ZDR), differential phase (ΦDP), specific differential phase (KDP) and copolar correlation coefficient (ρHV). In recent decades, a number of rainfall estimation algorithms utilizing these polarimetric parameters, e.g. R(Z), R(Z,ZDR) and R(KDP), are applied to dual polarimetric radars with different wavelengths and perform well in accuracy. In this project intends to use the mobile X-band dual polarimetric radar data (Z、 ZDR、KDP) during SoWMEX/TiMREX to estimate rainfall. And these polarmetric rainfull estimates then were compared with measurement from disdrometers (2DVD and JWD) and the CWB’s automatic rain gauges. To study the rainfall estimation method in Taiwan by the X-band dual polarization radar and discuss its accuracy. In addition, many researchers recently used different cloud microphysics schemes to simulate the SoWMEX cases. Therefore, project will verify the documented results of rainfall estimation during SoWMEX/TiMREX. The drop size distribution, liquid water content and rainfall are compared between the model simulation and radar retrieval. Cooperating with model developers, we suggest to tune the cloud microphysics scheme to enhance its capability of quantitative precipitation estimation and forecast. Further verification will be made in future rainfall experiments.
