Enhanced Snow Absorption and Albedo Reduction by Dust‐Snow Internal Mixing: Modeling and Parameterization-Reference-Cited by-同舟云学术

Enhanced Snow Absorption and Albedo Reduction by Dust‐Snow Internal Mixing: Modeling and Parameterization

Published:2019-11 Issue:11 Volume:11 Page:3755-3776
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J. Adv. Model. Earth Syst.

Author:

He Cenlin¹²^ORCID,Liou Kuo‐Nan³,Takano Yoshi³^ORCID,Chen Fei²^ORCID,Barlage Michael²^ORCID

Affiliation:

1. Advanced Study Program National Center for Atmospheric Research Boulder CO USA

2. Research Applications Laboratory National Center for Atmospheric Research Boulder CO USA

3. Department of Atmospheric and Oceanic Sciences and Joint Institute for Regional Earth System Science and Engineering University of California Los Angeles CA USA

Funder

Division of Atmospheric and Geospace Sciences

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019MS001737

Reference75 articles.

1. Effects of snow physical parameters on spectral albedo and bidirectional reflectance of snow surface

2. Physically based snow albedo model for calculating broadband albedos and the solar heating profile in snowpack for general circulation models

3. Reevaluation of Mineral aerosol radiative forcings suggests a better agreement with satellite and AERONET data

4. Dust and Biological Aerosols from the Sahara and Asia Influence Precipitation in the Western U.S.

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