Articles | Volume 14, issue 12
Geosci. Model Dev., 14, 7673–7704, 2021
https://doi.org/10.5194/gmd-14-7673-2021
Geosci. Model Dev., 14, 7673–7704, 2021
https://doi.org/10.5194/gmd-14-7673-2021

Model description paper 21 Dec 2021

Model description paper | 21 Dec 2021

SNICAR-ADv3: a community tool for modeling spectral snow albedo

Mark G. Flanner et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-182', Marie Dumont, 15 Sep 2021
  • RC2: 'Comment on gmd-2021-182', Ghislain Picard, 28 Sep 2021
  • AC1: 'Author responses to referee comments', Mark Flanner, 28 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mark Flanner on behalf of the Authors (29 Oct 2021)  Author's response    Manuscript
ED: Publish subject to technical corrections (16 Nov 2021) by Fabien Maussion
AR by Mark Flanner on behalf of the Authors (17 Nov 2021)  Author's response    Manuscript
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Short summary
We present the technical formulation and evaluation of a publicly available code and web-based model to simulate the spectral albedo of snow. Our model accounts for numerous features of the snow state and ambient conditions, including the the presence of light-absorbing matter like black and brown carbon, mineral dust, volcanic ash, and snow algae. Carbon dioxide snow, found on Mars, is also represented. The model accurately reproduces spectral measurements of clean and contaminated snow.