Understanding the Moisture Variance in Precipitating Shallow Cumulus Convection

被引:9
作者
Anurose, T. J. [1 ]
Duran, Ivan Bastak [1 ]
Schmidli, Juerg [1 ]
Seifert, Axel [2 ]
机构
[1] Goethe Univ, Inst Atmospher & Environm Sci, Frankfurt, Germany
[2] Deutsch Wetterdienst, Offenbach, Germany
关键词
LARGE-EDDY SIMULATION; BOUNDARY-LAYER; VARIABILITY; RADAR; PARAMETERIZATION; SKEWNESS; MODELS;
D O I
10.1029/2019JD031178
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The impact of precipitation in shallow cumulus convection on the moisture variance and third-order moments of moisture is investigated with the help of large-eddy simulations. Three idealized simulations based on the Rain in Cumulus over the Ocean field experiment are analyzed: one nonprecipitating, on a smaller domain, and two precipitating cases, on a larger domain with different initial profiles of moisture. Results show that precipitation and the associated cloud organization lead to increased generation of higher-order moments (HOM) of moisture compared to the nonprecipitating case. To understand the physical mechanism and the role of individual processes in this increase, budgets of HOM of moisture are studied. Microphysics directly decreases the generation of HOM of moisture, but this effect is not dominant. The gradient production term is identified as the main source term in the HOM budgets. The influence of the gradient production term on moisture variance is further examined separately in cloud active and nonactive regions. The main contribution to the gradient production term comes from the smaller cloud active region because of the stronger moisture flux. Further analyses of the horizontal and vertical cross sections of moisture fluctuations show that the precipitation-induced downdrafts and updrafts are the main mechanism for the generation of moisture variance. The variance increase is linked to shallow dry downdraft regions with horizontal divergence in the subcloud layer, moist updrafts with horizontal convergence in the bulk cloud layer, and finally wider areas of horizontal divergence in the cloud inversion layer.
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页数:20
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