Understanding Cloud Droplet Spectral Dispersion Effect Using Empirical and Semi-Analytical Parameterizations in NCAR CAM5.3

doi:10.1029/2020EA001276

IEECAS OpenIR > 古环境研究室

	Understanding Cloud Droplet Spectral Dispersion Effect Using Empirical and Semi-Analytical Parameterizations in NCAR CAM5.3
	Wang, Minqi 1; Peng, Yiran 1; Liu, Yangang 2; Liu, Yu 3; Xie, Xiaoning 4; Guo, Zengyuan 1
通讯作者	Peng, Yiran(pyiran@tsinghua.edu.cn)
	2020-08-01
发表期刊	EARTH AND SPACE SCIENCE
卷号	7 期号:8 页码:14
摘要	Five parameterizations of cloud droplet spectral shape are implemented in a global climate model to investigate the dispersion effect and aerosol indirect effect (AIE). We design a series of experiments by modifying the microphysical cloud scheme of NCAR CAM5.3 (National Center for Atmospheric Research Community Atmosphere Model Version 5.3). We employ four empirical (Martin94, RLiu03, PengL03, and Liu08) and one semi-analytical (LiuLi15) expressions for cloud droplet spectral shape parameters. Analysis focuses on the instantaneous differences in the simulated cloud microphysical properties and the comparison between model output and satellite data. The results show that RLiu03, PengL03, and LiuLi15 produce wider droplet spectrum and faster autoconversion rate, but Liu08 has a narrower droplet spectrum and slower autoconversion rate than the default parameterization (Martin94) in CAM5.3. Global dispersion effects caused by the five parameterizations modify the aerosol indirect effect by -10% (counteract) to 13% (strengthen). The simulated AIEs and dispersion effects exhibit noticeably spatial inhomogeneity. In the sensitive regions of AIE (Southeast Asia, North Pacific, and West Coast of South America), we decompose the response of shortwave cloud forcing to the change in droplet number for analysis. The varying dispersion effects can be explained by different responses of cloud properties in different spectral parameterizations. Plain Language Summary Increase of air pollution modifies the water cloud droplet size spectrum and further impacts on cloud physical properties, precipitation, and energy budget in atmosphere. We applied four empirical and one semi-analytical schemes for calculating cloud droplet spectral shape parameters in a global climate model. The five spectral schemes have different impacts on cloud physical properties but have limited effects on global atmospheric energy and on total precipitation. The model simulated changes in cloud properties and in atmospheric energy are analyzed in detail, helping to understand the physical mechanism of the five spectral schemes.
DOI	10.1029/2020EA001276
关键词[WOS]	COMMUNITY ATMOSPHERE MODEL ; BULK MICROPHYSICS PARAMETERIZATION ; RELATIVE DISPERSION ; PART I ; AUTOCONVERSION PROCESS ; SENSITIVITY ; SCHEME ; REPRESENTATION ; AEROSOLS ; CAM3
收录类别	SCI ; SCI
语种	英语
资助项目	National Important Project of the Ministry of Science and Technology in China[2017YFC1501404] ; National Natural Science Foundation of China[41605106] ; National Natural Science Foundation of China[41775137] ; National Natural Science Foundation of China[71690243] ; U.S. Department of Energy's Atmospheric System Research (ASR) program ; National Key Research and Development Program of China[2017YFA0603501]
WOS研究方向	Astronomy & Astrophysics ; Geology
项目资助者	National Important Project of the Ministry of Science and Technology in China ; National Natural Science Foundation of China ; U.S. Department of Energy's Atmospheric System Research (ASR) program ; National Key Research and Development Program of China
WOS类目	Astronomy & Astrophysics ; Geosciences, Multidisciplinary
WOS记录号	WOS:000566210700006
出版者	AMER GEOPHYSICAL UNION
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ieecas.cn/handle/361006/15247
专题	古环境研究室
通讯作者	Peng, Yiran
作者单位	1.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing, Peoples R China 2.Brookhaven Natl Lab, Upton, NY 11973 USA 3.Chinese Acad Meteorol Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Earth Environm, SKLLQG, Xian, Peoples R China
推荐引用方式 GB/T 7714	Wang, Minqi,Peng, Yiran,Liu, Yangang,et al. Understanding Cloud Droplet Spectral Dispersion Effect Using Empirical and Semi-Analytical Parameterizations in NCAR CAM5.3[J]. EARTH AND SPACE SCIENCE,2020,7(8):14.
APA	Wang, Minqi,Peng, Yiran,Liu, Yangang,Liu, Yu,Xie, Xiaoning,&Guo, Zengyuan.(2020).Understanding Cloud Droplet Spectral Dispersion Effect Using Empirical and Semi-Analytical Parameterizations in NCAR CAM5.3.EARTH AND SPACE SCIENCE,7(8),14.
MLA	Wang, Minqi,et al."Understanding Cloud Droplet Spectral Dispersion Effect Using Empirical and Semi-Analytical Parameterizations in NCAR CAM5.3".EARTH AND SPACE SCIENCE 7.8(2020):14.