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The Probability Density Function Related to Shallow Cumulus Entrainment Rate and Its Influencing Factors in a Large-Eddy Simulation
作者姓名:Lei ZHU  Chunsong LU  Xiaoqi XU  Xin HE  Junjun LI  Shi LUO  Yuan WANG  Fan WANG
作者单位:1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD) and Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology;2. Nanjing Joint Institute for Atmospheric Sciences;3. College of Aviation Meteorology, Civil Aviation Flight University of China;4. Collaborative Innovation Center for Western Ecological Safety, Lanzhou University;5. Department of Geography, Hong Kong Baptist University
基金项目:supported by the National Natural Science Foundation of China (Grant Nos. 42175099, 42027804, 42075073);;the Innovative Project of Postgraduates in Jiangsu Province in 2023 (Grant No. KYCX23_1319);;supported by the National Natural Science Foundation of China (Grant No. 42205080);;the Natural Science Foundation of Sichuan (Grant No. 2023YFS0442);
摘    要:The process of entrainment-mixing between cumulus clouds and the ambient air is important for the development of cumulus clouds. Accurately obtaining the entrainment rate(λ) is particularly important for its parameterization within the overall cumulus parameterization scheme. In this study, an improved bulk-plume method is proposed by solving the equations of two conserved variables simultaneously to calculate λ of cumulus clouds in a large-eddy simulation. The results demonstrate that the impro...

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