This study conducts numerical experiments using NCAR CESM version 2.3 beta 17 with the Quasi-CAM5 physics package to evaluate four warm cloud microphysical processes (MPs) using single column model (SCM) and global simulations. Results show that CL2004 simulates more cloud liquid and less rain than other MPs, and has the smallest RMSE in global simulations, indicating its potential in mean climate modeling. Additionally, CL2004 exhibits opposite trends in aerosol-cloud interactions compared to other MPs. Further validation and evaluation are planned using ACE-ENA and ESMAC Diags tools in the near future.

warm cloud, microphysics, simulation, climate modeling

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This study explores the wintertime atmospheric boundary layer in Chia-Yi using high-temporal resolution passive microwave radiometer data. First, it compares machine learning models with RAOB data, identifying the NN_1001_MM_natural model as the most suitable. Next, it calculates brightness temperature using a radiative transfer model and finds that NN_58 becomes more accurate due to the radiometer’s bandwidth. Finally, the NN_1001 model shows the influence of solar heating on the higher boundary layer.

high vertical resolution profile retieval, radiative transfer model, boundary layer heating rate

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