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

<p>In climate models, the snow albedo scheme generally calculates only a narrowband or broadband albedo, which leads to significant uncertainties. Here, we present the Versatile ALbedo calculation metHod based on spectrALLy fixed radiative vAriables (VALHALLA version 1.0) to optimize spectral...

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Autores principales: F. Veillon, M. Dumont, C. Amory, M. Fructus
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Publicado: Copernicus Publications 2021
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spelling oai:doaj.org-article:a681ed54421b457688c6dd9695c0a0e92021-11-30T13:26:08ZA versatile method for computing optimized snow albedo from spectrally fixed radiative variables: VALHALLA v1.010.5194/gmd-14-7329-20211991-959X1991-9603https://doaj.org/article/a681ed54421b457688c6dd9695c0a0e92021-11-01T00:00:00Zhttps://gmd.copernicus.org/articles/14/7329/2021/gmd-14-7329-2021.pdfhttps://doaj.org/toc/1991-959Xhttps://doaj.org/toc/1991-9603<p>In climate models, the snow albedo scheme generally calculates only a narrowband or broadband albedo, which leads to significant uncertainties. Here, we present the Versatile ALbedo calculation metHod based on spectrALLy fixed radiative vAriables (VALHALLA version 1.0) to optimize spectral snow albedo calculation. For this optimization, the energy absorbed by the snowpack is calculated by the spectral albedo model Two-streAm Radiative TransfEr in Snow (TARTES) and the spectral irradiance model Santa Barbara DISORT Atmospheric Radiative Transfer (SBDART). This calculation takes into account the spectral characteristics of the incident radiation and the optical properties of the snow based on an analytical approximation of the radiative transfer of snow. For this method, 30 wavelengths, called tie points (TPs), and 16 reference irradiance profiles are calculated to incorporate the absorbed energy and the reference irradiance. The absorbed energy is then interpolated for each wavelength between two TPs with adequate kernel functions derived from radiative transfer theory for snow and the atmosphere. We show that the accuracy of the absorbed energy calculation primarily depends on the adaptation of the irradiance of the reference profile to that of the simulation (absolute difference <span class="inline-formula">&lt;1</span> W m<span class="inline-formula"><sup>−2</sup></span> for broadband absorbed energy and absolute difference <span class="inline-formula">&lt;0.005</span> for broadband albedo). In addition to the performance in terms of accuracy and calculation time, the method is adaptable to any atmospheric input (broadband, narrowband) and is easily adaptable for integration into a radiative scheme of a global or regional climate model.</p>F. VeillonF. VeillonM. DumontC. AmoryC. AmoryM. FructusCopernicus PublicationsarticleGeologyQE1-996.5ENGeoscientific Model Development, Vol 14, Pp 7329-7343 (2021)
institution DOAJ
collection DOAJ
language EN
topic Geology
QE1-996.5
spellingShingle Geology
QE1-996.5
F. Veillon
F. Veillon
M. Dumont
C. Amory
C. Amory
M. Fructus
A versatile method for computing optimized snow albedo from spectrally fixed radiative variables: VALHALLA v1.0
description <p>In climate models, the snow albedo scheme generally calculates only a narrowband or broadband albedo, which leads to significant uncertainties. Here, we present the Versatile ALbedo calculation metHod based on spectrALLy fixed radiative vAriables (VALHALLA version 1.0) to optimize spectral snow albedo calculation. For this optimization, the energy absorbed by the snowpack is calculated by the spectral albedo model Two-streAm Radiative TransfEr in Snow (TARTES) and the spectral irradiance model Santa Barbara DISORT Atmospheric Radiative Transfer (SBDART). This calculation takes into account the spectral characteristics of the incident radiation and the optical properties of the snow based on an analytical approximation of the radiative transfer of snow. For this method, 30 wavelengths, called tie points (TPs), and 16 reference irradiance profiles are calculated to incorporate the absorbed energy and the reference irradiance. The absorbed energy is then interpolated for each wavelength between two TPs with adequate kernel functions derived from radiative transfer theory for snow and the atmosphere. We show that the accuracy of the absorbed energy calculation primarily depends on the adaptation of the irradiance of the reference profile to that of the simulation (absolute difference <span class="inline-formula">&lt;1</span> W m<span class="inline-formula"><sup>−2</sup></span> for broadband absorbed energy and absolute difference <span class="inline-formula">&lt;0.005</span> for broadband albedo). In addition to the performance in terms of accuracy and calculation time, the method is adaptable to any atmospheric input (broadband, narrowband) and is easily adaptable for integration into a radiative scheme of a global or regional climate model.</p>
format article
author F. Veillon
F. Veillon
M. Dumont
C. Amory
C. Amory
M. Fructus
author_facet F. Veillon
F. Veillon
M. Dumont
C. Amory
C. Amory
M. Fructus
author_sort F. Veillon
title A versatile method for computing optimized snow albedo from spectrally fixed radiative variables: VALHALLA v1.0
title_short A versatile method for computing optimized snow albedo from spectrally fixed radiative variables: VALHALLA v1.0
title_full A versatile method for computing optimized snow albedo from spectrally fixed radiative variables: VALHALLA v1.0
title_fullStr A versatile method for computing optimized snow albedo from spectrally fixed radiative variables: VALHALLA v1.0
title_full_unstemmed A versatile method for computing optimized snow albedo from spectrally fixed radiative variables: VALHALLA v1.0
title_sort versatile method for computing optimized snow albedo from spectrally fixed radiative variables: valhalla v1.0
publisher Copernicus Publications
publishDate 2021
url https://doaj.org/article/a681ed54421b457688c6dd9695c0a0e9
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