CMA-MESO中不同云微物理方案对台风强降水的云宏、微观特征的模拟分析OA

This study employs the CMA-MESO model to investigate a torrential rainfall event associated with Typhoon Siam's landfall in Guangdong Province in early July 2022.Three cloud microphysical schemes(WSM6,Liu-Ma,and Thompson)implemented in the CMA-MESO model were evaluated through comparative analysis of precipitation patterns and cloud microphysical characteristics,utilizing observational data from regional automatic weather stations,satellite observations(FY-2H and FY-4A),ERA5 reanalysis data,and mosaic radar composites.Key findings include:(1)all schemes demonstrate reasonable capability in reproducing the spatial distribution of rainfall areas and precipitation center locations,though the simulated 24-hour cumulative precipitation exhibited excessive spatial diffusion compared to observations.(2)Systematic overestimation of total cloud cover was observed across all schemes,suggesting potential deficiencies in hydrometeor sedimentation processes that hindered effective precipitation formation.Particularly,simulations of deep convective clouds near the precipitation center displayed notable discrepancies,with the Liu-Ma scheme exhibiting relatively stable representation of convective intensity.(3)Radar reflectivity analysis revealed underestimation of strong echo core intensities and temporal lag in echo system propagation.Comparative evaluation suggests potential limitations in ice-phase process parameterizations for CMA-MESO,with Thompson's excessive snow production resulting in substantially overestimated echo below 5 dBZ.(4)Significant inter-scheme variations emerged in liquid hydrometeor distributions.The Liu-Ma scheme demonstrated superior ice-phase conversion efficiency through enhanced cloud water content in precipitation cores,while Thompson's imbalanced ice-phase partitioning adversely affected its convective core representation.The comprehensive evaluation reveals that for typhoon-related extreme convective precipitation events,the Liu-Ma scheme achieves optimal performance in daily precipitation accumulation,total cloud cover,and brightness temperature simulations,whereas the Thompson scheme shows systematic deficiencies in cloud microphysical representation and precipitation characteristics.