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Measurements of light‐absorbing particles in snow across the Arctic, North America, and China: Effects on surface albedo
Author(s) -
Dang Cheng,
Warren Stephen G.,
Fu Qiang,
Doherty Sarah J.,
Sturm Matthew,
Su Jing
Publication year - 2017
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1002/2017jd027070
Subject(s) - snow , albedo (alchemy) , atmospheric sciences , radiative forcing , environmental science , snowpack , arctic , cloud albedo , radiative transfer , climatology , snow field , forcing (mathematics) , meteorology , geology , geography , physics , aerosol , snow cover , cloud cover , oceanography , cloud computing , art , quantum mechanics , performance art , computer science , art history , operating system
Using field observations, we perform radiative transfer calculations on snowpacks in the Arctic, China, and North America to quantify the impact of light‐absorbing particles (LAPs) on snow albedo and its sensitivity to different factors. For new snow, the regional‐averaged albedo reductions caused by all LAPs in the Arctic, North America, and China are 0.009, 0.012, and 0.077, respectively, of which the albedo reductions caused by black carbon (BC) alone are 0.005, 0.005, and 0.031, corresponding to a positive radiative forcing of 0.06, 0.3, and 3 W m −2 . For the same particulate concentrations, the albedo reduction for old melting snow is larger than that of new snow by a factor of 2; this leads to 3–8 times larger radiative forcing, in part due to higher solar irradiance in the melting season. These calculations used ambient snowpack properties; if all snowpacks were instead assumed to be optically thick, the albedo reduction would be 20–50% larger for new snow in the Arctic and North America and 120–300% larger for old snow. Accounting for non‐BC LAPs reduces the albedo reduction by BC in the Arctic, North America, and China by 32%, 29%, and 70%, respectively, for new snow and 11%, 7%, and 51% for old snow. BC‐in‐snow albedo reduction computed using a two‐layer model agrees reasonably with that computed using a multilayer model. Biases in BC concentration or snow depth often lead to nonlinear biases in BC‐induced albedo reduction.