气候变化领域集成服务门户(CCPortal): Improved Convective Ice Microphysics Parameterization in the NCAR CAM Model

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DOI	10.1029/2020JD034157
	Improved Convective Ice Microphysics Parameterization in the NCAR CAM Model
	Lin L.; Fu Q.; Liu X.; Shan Y.; Giangrande S.E.; Elsaesser G.S.; Yang K.; Wang D.
发表日期	2021
ISSN	2169897X
卷号	126 期号:9
英文摘要	Partitioning deep convective cloud condensates into components that sediment and detrain, known to be a challenge for global climate models, is important for cloud vertical distribution and anvil cloud formation. In this study, we address this issue by improving the convective microphysics scheme in the National Center for Atmospheric Research Community Atmosphere Model version 5.3 (CAM5.3). The improvements include: (1) considering sedimentation for cloud ice crystals that do not fall in the original scheme, (2) applying a new terminal velocity parameterization that depends on the environmental conditions for convective snow, (3) adding a new hydrometeor category, “rimed ice,” to the original four-class (cloud liquid, cloud ice, rain, and snow) scheme, and (4) allowing convective clouds to detrain snow particles into stratiform clouds. Results from the default and modified CAM5.3 models were evaluated against observations from the U.S. Department of Energy Tropical Warm Pool-International Cloud Experiment (TWP-ICE) field campaign. The default model overestimates ice amount, which is largely attributed to the underestimation of convective ice particle sedimentation. By considering cloud ice sedimentation and rimed ice particles and applying a new convective snow terminal velocity parameterization, the vertical distribution of ice amount is much improved in the midtroposphere and upper troposphere when compared to observations. The vertical distribution of ice condensate also agrees well with observational best estimates upon considering snow detrainment. Comparison with observed convective updrafts reveals that current bulk model fails to reproduce the observed updraft magnitude and occurrence frequency, suggesting spectral distributions be required to simulate the subgrid updraft heterogeneity. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词	convective clouds; detrainment; microphysics parameterization; terminal velocity; updraft
语种	英语
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/185224
作者单位	Department of Atmospheric Sciences, Texas A&M University, College Station, TX, United States; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; Department of Environment and Climate Sciences, Brookhaven National Laboratory, Upton, NY, United States; Department of Applied Physics and Mathematics, Columbia University, and NASA Goddard Institute for Space Studies, New York City, NY, United States; Department of Atmospheric and Oceanic Sciences, University of Colorado and Laboratory for Atmospheric and Space Physics, Boulder, CO, United States
推荐引用方式 GB/T 7714	Lin L.,Fu Q.,Liu X.,et al. Improved Convective Ice Microphysics Parameterization in the NCAR CAM Model[J],2021,126(9).
APA	Lin L..,Fu Q..,Liu X..,Shan Y..,Giangrande S.E..,...&Wang D..(2021).Improved Convective Ice Microphysics Parameterization in the NCAR CAM Model.Journal of Geophysical Research: Atmospheres,126(9).
MLA	Lin L.,et al."Improved Convective Ice Microphysics Parameterization in the NCAR CAM Model".Journal of Geophysical Research: Atmospheres 126.9(2021).