Articles | Volume 14, issue 21
https://doi.org/10.5194/acp-14-11697-2014
https://doi.org/10.5194/acp-14-11697-2014
Research article
 | 
07 Nov 2014
Research article |  | 07 Nov 2014

Biases in modeled surface snow BC mixing ratios in prescribed-aerosol climate model runs

S. J. Doherty, C. M. Bitz, and M. G. Flanner

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sarah Doherty on behalf of the Authors (25 Aug 2014)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (02 Sep 2014) by Maria Cristina Facchini
RR by Anonymous Referee #1 (20 Sep 2014)
RR by Anonymous Referee #2 (24 Sep 2014)
ED: Publish subject to technical corrections (30 Sep 2014) by Maria Cristina Facchini
AR by Sarah Doherty on behalf of the Authors (01 Oct 2014)  Author's response    Manuscript
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Short summary
Black carbon in snow lowers its albedo, increasing the absorption of sunlight, leading to positive radiative forcing, climate warming and earlier snow-melt. A series of recent studies have used prescribed rates of black carbon deposition to snow to assess the climate effects of black carbon in snow. Here we show that the use of prescribed deposition fluxes in these model studies leads to high biases in snow BC concentrations, caused by the decoupling of BC and snow deposition to the surface.
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