1.Key Laboratory of Cloud–Precipitation Physics and Severe Storms,Institute of Atmospheric PhysicsLACS;2.Inner Mongolia Meteorological Observatory;3.University of Chinese Academy of Sciences, Beijing 100049;4.Institute of Meteorological Sciences of Jilin Province, Changchun 130062, China
Using ERA5 reanalysis data as the initial field, and the WRF model was used to conduct the numerical simulation study of a large-scale snowstorm weather process from April 19-20, 2020. we adopt 5 microphysical parameterization schemes (Bulk scheme: Thompson, Morrison, WDM6 and NSSL; Bin scheme: SBM FAST) for sensitivity experiments, and compare with the observation data (precipitation data collected at automatic weather stations, radar base data). The temporal and spatial evolution characteristics of precipitation, radar reflectance, dynamic thermodynamics and water condensate in heavy snow weather are analyzed. The results showed that the intensity and range of the snowfall were basically simulated by the above different microphysical parameterization schemes, but there were significant differences in the simulated dynamics and fine cloud microphysical structures, which were reflected in the vertical velocity and spatial and temporal distribution of water condensates simulated by different cloud microphysical schemes. The cloud water simulated by the bin scheme is strong, with obvious sinking movement, concentrated convection range, and obviously weak graupel and ice crystal process. However, the rainwater and graupel simulated by Bulk scheme are strong, showing a wide range of upward movement and a wide range of convection. The above dynamic forces and the distribution of cloud water condensates are related to the characteristics of cloud microphysics scheme. Bulk scheme adopts the overall cloud group design, binding the movement of different particle types, so it cannot describe the sinking and dragging process of different particles in detail, reflecting that there is no obvious vertical sinking movement, which also results in the significant increase of graupel particles. For different Bulk schemes, although the space-time distribution of the total content of hydrocondensates is similar and all have a wide range of space-time distribution, the components of hydrocondensates (cloud water, rain water, ice, snow and graupel) are significantly different, which is related to the description of different cloud microphysical processes.