氣象巨量資料應用在即時與極短期臺灣暴雨與強風的預報技術提升與相關災害防治-氣象巨量資料應用在即時與極短期臺灣暴雨與強風的預報技術提升與相關災害防治(1/2)

There is a very good radar network in Taiwan that is composed 10 ground-based radars. For next few years, a network of five C band dual polarization radars for accurate rainfall estimation will be setup in northern, central, southern, western and northeastern Taiwan commonly by the Water Resources Agency (WRA) andCentral Weather Bureau (CWB) to provide abundant polarimetric radar quantitative precipitation estimation (QPE). This integrated project will utilize the multi-parameter multi-band rainfall estimation method developed with NCU C band, X band and CWB S band dual polarization radars to verify the precipitation estimation technique of this radar network. We will integrate radar echo tracking method and advanced radar data assimilation to build different quantitative precipitation forecast techniques. The project will continue to establish a real-time nowcasting system over Taiwan area. This study further combines the information of high resolution numerical weather forecasting models to improve the capability of the radar echo extrapolation nowcast system. The multi-band dual polarization radar data as well as the disdrometer and raingauge data collected in field experiments will be used to evaluate the accuracy of precipitation estimation algorithm and the validation of QPF Numerical modelling with Raindrop size distributions (RSD) has significant role both in meteorology as well as in hydrology. For instance, the RSD information can be helpful in assessing the microphysical processes of different precipitating clouds. The RSD also play a major role cloud modeling studies, in quantitative precipitationsestimation (QPE) algorithms for radar measurements. The RSD is helpful in soil erosion studies and also in understanding of runoff process, flood hazards control. In this study aforementioned applications of RSD in hydro-meteorological fields in different precipitation systems will be conducted too.