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DOI | 10.1029/2020JD034455 |
Consideration of Initial Cloud Droplet Size Distribution Shapes in Quantifying Different Entrainment-Mixing Mechanisms | |
Luo S.; Lu C.; Liu Y.; Gao W.; Zhu L.; Xu X.; Li J.; Guo X. | |
发表日期 | 2021 |
ISSN | 2169-897X |
卷号 | 126期号:13 |
英文摘要 | Entrainment-mixing process significantly affects cloud micro/macrophysics and the evaluation of aerosol indirect effects. However, it is still an open question as to how to quantify entrainment-mixing mechanism for broad cloud droplet size distributions (CDSDs). Here, CDSDs with different spectral widths are used to initialize the Explicit Mixing Parcel Model to address this problem, and microphysical properties are compared for different CDSD widths. For relatively broad CDSDs, as the number concentration and liquid water content decrease, the volume-mean radius and mean radius increase, which is opposite to the scenario for relatively narrow CDSDs and the homogeneous/inhomogeneous conceptual model. For the relatively broad CDSDs, such relationships could be mistaken as inhomogeneous mixing with subsequent ascent in analysis of the conventional microphysical mixing diagram. This then causes traditional homogenous mixing degrees to be unrealistically negative and not applicable for relatively broad CDSDs. New measures are introduced to explicitly account for the effect of CDSD spectral shapes on quantifying entrainment-mixing mechanism. The new measures yield reasonable ranges of values that conform to the dynamical measures such as the Damköhler and transitional scale numbers, and their temporal variation can be explained physically. This study extends the measures of homogeneous mixing degrees from narrow to broad CDSDs, and sheds new light on the consideration of CDSD shapes in parameterizations of entrainment-mixing mechanism. © 2021. American Geophysical Union. All Rights Reserved. |
来源期刊 | Journal of Geophysical Research: Atmospheres |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/237152 |
作者单位 | Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/ Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing, China; Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, United States; State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China; Suzhou Meteorological Bureau, Suzhou, China |
推荐引用方式 GB/T 7714 | Luo S.,Lu C.,Liu Y.,et al. Consideration of Initial Cloud Droplet Size Distribution Shapes in Quantifying Different Entrainment-Mixing Mechanisms[J],2021,126(13). |
APA | Luo S..,Lu C..,Liu Y..,Gao W..,Zhu L..,...&Guo X..(2021).Consideration of Initial Cloud Droplet Size Distribution Shapes in Quantifying Different Entrainment-Mixing Mechanisms.Journal of Geophysical Research: Atmospheres,126(13). |
MLA | Luo S.,et al."Consideration of Initial Cloud Droplet Size Distribution Shapes in Quantifying Different Entrainment-Mixing Mechanisms".Journal of Geophysical Research: Atmospheres 126.13(2021). |
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