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The Probability Density Function Related to Shallow Cumulus Entrainment Rate and Its Influencing Factors in a Large-Eddy Simulation

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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 calculateλof cumulus clouds in a large-eddy simulation.The results demonstrate that the improved bulk-plume method is more reliable than the traditional bulk-plume method,becauseλ,as calculated from the improved method,falls within the range ofλvalues obtained from the traditional method using different conserved variables.The probability density functions ofλfor all data,different times,and different heights can be well-fitted by a log-normal distribution,which supports the assumed stochastic entrainment process in previous studies.Further analysis demonstrate that the relationship betweenλand the vertical velocity is better than other thermodynamic/dynamical properties;thus,the vertical velocity is recommended as the primary influencing factor for the parameterization ofλin the future.The results of this study enhance the theoretical understanding ofλand its influencing factors and shed new light on the development ofλparameterization.
出处 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2024年第1期173-187,共15页 大气科学进展(英文版)
基金 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) the Research Fund of Civil Aviation Flight University of China(Grant No.J2022-037) supported by the National Key Scientific and Technological Infrastructure project“Earth System Science Numerical Simulator Facility”(Earth Lab)。
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