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.

Model code and software

VAHLALLAv1.0 F. Veillon, M. Dumont, C. Amory, and M. Fructus https://doi.org/10.5281/zenodo.4570565

SBDART P. Ricchiazzi https://github.com/paulricchiazzi/SBDART

Two-stream radiative transfer in snow model G. Picard and Q. Libois https://pypi.org/project/tartes/

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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.