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DOI | 10.1029/2019JD031178 |
Understanding the Moisture Variance in Precipitating Shallow Cumulus Convection | |
Anurose, T. J.1; Duran, Ivan Bastak1; Schmidli, Juerg1; Seifert, Axel2 | |
2020-01-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2020 |
卷号 | 125期号:1 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany |
英文摘要 | 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. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000514584000002 |
WOS关键词 | LARGE-EDDY SIMULATION ; BOUNDARY-LAYER ; VARIABILITY ; RADAR ; PARAMETERIZATION ; SKEWNESS ; MODELS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/279987 |
专题 | 气候变化 |
作者单位 | 1.Goethe Univ, Inst Atmospher & Environm Sci, Frankfurt, Germany; 2.Deutsch Wetterdienst, Offenbach, Germany |
推荐引用方式 GB/T 7714 | Anurose, T. J.,Duran, Ivan Bastak,Schmidli, Juerg,et al. Understanding the Moisture Variance in Precipitating Shallow Cumulus Convection[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2020,125(1). |
APA | Anurose, T. J.,Duran, Ivan Bastak,Schmidli, Juerg,&Seifert, Axel.(2020).Understanding the Moisture Variance in Precipitating Shallow Cumulus Convection.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,125(1). |
MLA | Anurose, T. J.,et al."Understanding the Moisture Variance in Precipitating Shallow Cumulus Convection".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 125.1(2020). |
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