气候变化领域集成服务门户(CCPortal): Enhanced Snow Absorption and Albedo Reduction by Dust-Snow Internal Mixing: Modeling and Parameterization

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DOI	10.1029/2019MS001737
	Enhanced Snow Absorption and Albedo Reduction by Dust-Snow Internal Mixing: Modeling and Parameterization
	He C.; Liou K.-N.; Takano Y.; Chen F.; Barlage M.
发表日期	2019
ISSN	19422466
起始页码	3755
结束页码	3776
卷号	11 期号:11
英文摘要	We extend a stochastic aerosol-snow albedo model to explicitly simulate dust internally/externally mixed with snow grains of different shapes and for the first time quantify the combined effects of dust-snow internal mixing and snow nonsphericity on snow optical properties and albedo. Dust-snow internal/external mixing significantly enhances snow single-scattering coalbedo and absorption at wavelengths of <1.0 μm, with stronger enhancements for internal mixing (relative to external mixing) and higher dust concentrations but very weak dependence on snow size and shape variabilities. Compared with pure snow, dust-snow internal mixing reduces snow albedo substantially at wavelengths of <1.0 μm, with stronger reductions for higher dust concentrations, larger snow sizes, and spherical (relative to nonspherical) snow shapes. Compared to internal mixing, dust-snow external mixing generally shows similar spectral patterns of albedo reductions and effects of snow size and shape. However, relative to external mixing, dust-snow internal mixing enhances the magnitude of albedo reductions by 10%–30% (10%–230%) at the visible (near-infrared) band. This relative enhancement is stronger as snow grains become larger or nonspherical, with comparable influences from snow size and shape. Moreover, for dust-snow external and internal mixing, nonspherical snow grains have up to ~45% weaker albedo reductions than spherical grains, depending on snow size, dust concentration, and wavelength. The interactive effect of dust-snow mixing state and snow shape highlights the importance of accounting for these two factors concurrently in snow modeling. For application to land/climate models, we develop parameterizations for dust effects on snow optical properties and albedo with high accuracy. ©2019. The Authors.
英文关键词	albedo parameterization; dust; internal mixing; snow albedo; snow modeling; snow optical property
语种	英语
scopus关键词	Dust; Infrared devices; Mixing; Optical properties; Parameterization; Solar radiation; Stochastic models; Stochastic systems; Application to land; Dust concentrations; Interactive effect; Internal mixing; Non sphericities; Single scattering; Snow models; Spectral patterns; Snow; accuracy assessment; adsorption; albedo; concentration (composition); dust; optical property; parameterization; snow; stochasticity; visible spectrum; wavelength
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156831
作者单位	Advanced Study Program, National Center for Atmospheric Research, Boulder, CO, United States; Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Department of Atmospheric and Oceanic Sciences and Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA, United States
推荐引用方式 GB/T 7714	He C.,Liou K.-N.,Takano Y.,et al. Enhanced Snow Absorption and Albedo Reduction by Dust-Snow Internal Mixing: Modeling and Parameterization[J],2019,11(11).
APA	He C.,Liou K.-N.,Takano Y.,Chen F.,&Barlage M..(2019).Enhanced Snow Absorption and Albedo Reduction by Dust-Snow Internal Mixing: Modeling and Parameterization.Journal of Advances in Modeling Earth Systems,11(11).
MLA	He C.,et al."Enhanced Snow Absorption and Albedo Reduction by Dust-Snow Internal Mixing: Modeling and Parameterization".Journal of Advances in Modeling Earth Systems 11.11(2019).