Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7329-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-7329-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
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, Marie Dumont, Charles Amory, and Mathieu Fructus

Viewed

Total article views: 2,387 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,493 798 96 2,387 81 96
  • HTML: 1,493
  • PDF: 798
  • XML: 96
  • Total: 2,387
  • BibTeX: 81
  • EndNote: 96
Views and downloads (calculated since 09 Mar 2021)
Cumulative views and downloads (calculated since 09 Mar 2021)

Viewed (geographical distribution)

Total article views: 2,387 (including HTML, PDF, and XML) Thereof 2,259 with geography defined and 128 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Oct 2025
Download
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.
Read more
Share