DOI: 10.1002/2014MS000343
Scopus记录号: 2-s2.0-84923083516
论文题名: Investigating ice nucleation in cirrus clouds with an aerosol-enabled Multiscale Modeling Framework
作者: Zhang C ; , Wang M ; , Morrison H ; , Somerville R ; C ; J ; , Zhang K ; , Liu X ; , Li J ; -L ; F
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2014
卷: 6, 期: 4 起始页码: 998
结束页码: 1015
语种: 英语
英文关键词: Aerosols
; Clouds
; Nucleation
; Snow
; Supersaturation
; Aerosol-cloud interaction
; cirrus simulation
; Cloud resolving model
; Empirical parameters
; Heterogeneous nucleation
; Homogeneous nucleation
; Ice nucleation
; Superparameterization
; Ice
; aerosol
; cirrus
; concentration (composition)
; diameter
; homogeneity
; ice
; nucleation
; numerical model
; parameterization
; satellite imagery
; Southern Hemisphere
; temperature effect
; threshold
; troposphere
; water content
英文摘要: In this study, an aerosol-dependent ice nucleation scheme has been implemented in an aerosol-enabled Multiscale Modeling Framework (PNNL MMF) to study ice formation in upper troposphere cirrus clouds through both homogeneous and heterogeneous nucleation. The MMF model represents cloud scale processes by embedding a cloud-resolving model (CRM) within each vertical column of a GCM grid. By explicitly linking ice nucleation to aerosol number concentration, CRM-scale temperature, relative humidity and vertical velocity, the new MMF model simulates the persistent high ice supersaturation and low ice number concentration (10-100/L) at cirrus temperatures. The new model simulates the observed shift of the ice supersaturation PDF toward higher values at low temperatures following the homogeneous nucleation threshold. The MMF model predicts a higher frequency of midlatitude supersaturation in the Southern Hemisphere and winter hemisphere, which is consistent with previous satellite and in situ observations. It is shown that compared to a conventional GCM, the MMF is a more powerful model to simulate parameters that evolve over short time scales such as supersaturation. Sensitivity tests suggest that the simulated global distribution of ice clouds is sensitive to the ice nucleation scheme and the distribution of sulfate and dust aerosols. Simulations are also performed to test empirical parameters related to auto-conversion of ice crystals to snow. Results show that with a value of 250 μm for the critical diameter, Dcs, that distinguishes ice crystals from snow, the model can produce good agreement with the satellite-retrieved products in terms of cloud ice water path and ice water content, while the total ice water is not sensitive to the specification of Dcs value. © 2014. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76073
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA, United States; Pacific Northwest National Laboratory, Richland, WA, United States; School of Atmospheric Sciences, Nanjing University, Nanjing, China; National Center for Atmospheric Research, Boulder, CO, United States; Department of Atmospheric Science, University of Wyoming, Laramie, WY, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Recommended Citation:
Zhang C,, Wang M,, Morrison H,et al. Investigating ice nucleation in cirrus clouds with an aerosol-enabled Multiscale Modeling Framework[J]. Journal of Advances in Modeling Earth Systems,2014-01-01,6(4)