气候变化领域集成服务门户(CCPortal): Influences of an entrainment-mixing parameterization on numerical simulations of cumulus and stratocumulus clouds

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DOI	10.5194/acp-22-5459-2022
	Influences of an entrainment-mixing parameterization on numerical simulations of cumulus and stratocumulus clouds
	Xu, Xiaoqi; Lu, Chunsong; Liu, Yangang; Luo, Shi; Zhou, Xin; Endo, Satoshi; Zhu, Lei; Wang, Yuan
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	5459
结束页码	5475
卷号	22 期号:8 页码:17
英文摘要	Different entrainment-mixing processes can occur in clouds; however, a homogeneous mixing mechanism is often implicitly assumed in most commonly used microphysics schemes. Here, we first present a new entrainment-mixing parameterization that uses the grid mean relative humidity without requiring the relative humidity of the entrained air. Then, the parameterization is implemented in a microphysics scheme in a large eddy simulation model, and sensitivity experiments are conducted to compare the new parameterization with the default homogeneous entrainment-mixing parameterization. The results indicate that the new entrainment-mixing parameterization has a larger impact on the number concentration, volume mean radius, and cloud optical depth in the stratocumulus case than in the cumulus case. This is because inhomogeneous and homogeneous mixing mechanisms dominate in the stratocumulus and cumulus cases, respectively, which is mainly due to the larger turbulence dissipation rate in the cumulus case. Because stratocumulus clouds break up during the dissipation stage to form cumulus clouds, the effects of this new entrainment-mixing parameterization during the stratocumulus dissipation stage are between those during the stratocumulus mature stage and the cumulus case. A large aerosol concentration can enhance the effects of this new entrainment-mixing parameterization by decreasing the cloud droplet size and evaporation timescale. The results of this new entrainment-mixing parameterization with grid mean relative humidity are validated by the use of a different entrainment-mixing parameterization that uses parameterized entrained air properties. This study sheds new light on the improvement of entrainment-mixing parameterizations in models.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000786654400001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273303
作者单位	Nanjing University of Information Science & Technology; China Meteorological Administration; United States Department of Energy (DOE); Brookhaven National Laboratory; Civil Aviation Flight University of China
推荐引用方式 GB/T 7714	Xu, Xiaoqi,Lu, Chunsong,Liu, Yangang,et al. Influences of an entrainment-mixing parameterization on numerical simulations of cumulus and stratocumulus clouds[J],2022,22(8):17.
APA	Xu, Xiaoqi.,Lu, Chunsong.,Liu, Yangang.,Luo, Shi.,Zhou, Xin.,...&Wang, Yuan.(2022).Influences of an entrainment-mixing parameterization on numerical simulations of cumulus and stratocumulus clouds.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(8),17.
MLA	Xu, Xiaoqi,et al."Influences of an entrainment-mixing parameterization on numerical simulations of cumulus and stratocumulus clouds".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.8(2022):17.