Articles | Volume 14, issue 12
Geosci. Model Dev., 14, 7329–7343, 2021
https://doi.org/10.5194/gmd-14-7329-2021
Geosci. Model Dev., 14, 7329–7343, 2021
https://doi.org/10.5194/gmd-14-7329-2021

Development and technical paper 30 Nov 2021

Development and technical paper | 30 Nov 2021

A versatile method for computing optimized snow albedo from spectrally fixed radiative variables: VALHALLA v1.0

Florent Veillon 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-2020-442', Joseph Cook, 23 Mar 2021
  • RC2: 'Comment on gmd-2020-442', Christiaan van Dalum, 14 Apr 2021
  • AC1: 'AC to Joseph Cook comments', Marie Dumont, 27 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Marie Dumont on behalf of the Authors (27 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (09 Sep 2021) by Fabien Maussion
RR by Christiaan van Dalum (24 Sep 2021)
ED: Publish subject to minor revisions (review by editor) (26 Sep 2021) by Fabien Maussion
AR by Marie Dumont on behalf of the Authors (05 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (11 Oct 2021) by Fabien Maussion
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Short summary
In climate models, the snow albedo scheme generally calculates only a narrowband or broadband albedo. Therefore, we have developed the VALHALLA method to optimize snow spectral albedo calculations through the determination of spectrally fixed radiative variables. The development of VALHALLA v1.0 with the use of the snow albedo model TARTES and the spectral irradiance model SBDART indicates a considerable reduction in calculation time while maintaining an adequate accuracy of albedo values.