Grid Nudging(GN)and Spectral Nudging(SN)methods were adopted.The two most common-ly used reanalysis data,ERA5 and FNL,were used to drive the weather research and forecasting(WRF)model mesoscale numerical weather prediction model,and the improved effects of different reanalysis data and Nudging methods on precipitation simulation and their causes were explored.Six sets of experi-ments were designed to numerically simulate a precipitation process in southern China on March 15,2021,and to analyze the influences of different experimental schemes on precipitation and related physi-cal quantities.The results showed that the WRF model could simulate the precipitation event well,and the simulating effect after Nudging was significantly improved.A comprehensive comparison with the observation data showed that the simulation effect of GN was better than SN,especially that the combina-tion of ERA5 data with GN had the best simulation effect,which could well simulate the spatial distribu-tion of precipitation and the change in precipitation time.The characterization of the intensity,direction and water vapor flux divergence of the southwest low-level jet by the GN method was more consistent with the actual situation,thus further improing and enhancing the precipitation simulation performance.
heavy precipitationweather research and forecasting modelNudgingnumerical simulation
维普
万方数据
