A module to convert spectral to narrowband snow albedo for use in climate models: SNOWBAL v1.2

International audience Snow albedo schemes in regional climate models often lack a sophisticated radiation penetration scheme and generally compute only a broadband albedo. Here, we present the Spectral-to-NarrOWBand ALbedo module (SNOWBAL, version 1.2) to couple effectively a spectral albedo model...

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Published in:Geoscientific Model Development
Main Authors: van Dalum, Christiaan, T, van de Berg, Willem, Jan, Libois, Quentin, Picard, Ghislain, van den Broeke, Michiel, R
Other Authors: Institute for Marine and Atmospheric Research Utrecht (IMAU), Universiteit Utrecht / Utrecht University Utrecht, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2019
Subjects:
Online Access:https://hal.science/hal-03094227
https://hal.science/hal-03094227/document
https://hal.science/hal-03094227/file/vanDalum2019_Spectral_Narrowband_Albedo.pdf
https://doi.org/10.5194/gmd-12-5157-2019
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institution Open Polar
collection Université Grenoble Alpes: HAL
op_collection_id ftunigrenoble
language English
topic [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces
environment
spellingShingle [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces
environment
van Dalum, Christiaan, T
van de Berg, Willem, Jan
Libois, Quentin
Picard, Ghislain
van den Broeke, Michiel, R
A module to convert spectral to narrowband snow albedo for use in climate models: SNOWBAL v1.2
topic_facet [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces
environment
description International audience Snow albedo schemes in regional climate models often lack a sophisticated radiation penetration scheme and generally compute only a broadband albedo. Here, we present the Spectral-to-NarrOWBand ALbedo module (SNOWBAL, version 1.2) to couple effectively a spectral albedo model with a narrowband radiation scheme. Specifically, the Two-streAm Radiative TransfEr in Snow model (TARTES) is coupled with the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecast System (IFS), cycle 33R1, atmospheric radiation scheme based on the Rapid Radiation Transfer Model, which is embedded in the Regional Atmospheric Climate Model version 2.3p2 (RACMO2). This coupling allows to explicitly account for the effect of clouds, water vapor, snow impurities and snow metamorphism on albedo. Firstly, we present a narrowband albedo method to project the spectral albedos of TARTES onto the 14 spectral bands of the IFS shortwave radiation scheme using a representative wavelength (RW) for each band. Using TARTES and spectral downwelling surface irradiance derived with the DIScrete Ordinate Radiative Transfer atmospheric model, we show that RWs primarily depend on the solar zenith angle (SZA), cloud content and water vapor. Secondly, we compare the TARTES narrowband albedo, using offline RACMO2 results for south Greenland, with the broadband albedo parameterizations of Gardner and Sharp (2010), currently implemented in RACMO2, and the multi-layered parameterization of Kuipers Munneke et al. (2011, PKM). The actual absence of radiation penetration in RACMO2 leads on average to a higher albedo compared with TARTES narrowband albedo. Furthermore, large differences between the TARTES narrowband albedo and PKM and RACMO2 are observed for high SZA and clear-sky conditions, and after melt events when the snowpack is very inhomogeneous. This highlights the importance of accounting for spectral albedo and radiation penetration to simulate the energy budget of the Greenland ice sheet.
author2 Institute for Marine and Atmospheric Research Utrecht (IMAU)
Universiteit Utrecht / Utrecht University Utrecht
Centre national de recherches météorologiques (CNRM)
Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP)
Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)
Institut des Géosciences de l’Environnement (IGE)
Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )
format Article in Journal/Newspaper
author van Dalum, Christiaan, T
van de Berg, Willem, Jan
Libois, Quentin
Picard, Ghislain
van den Broeke, Michiel, R
author_facet van Dalum, Christiaan, T
van de Berg, Willem, Jan
Libois, Quentin
Picard, Ghislain
van den Broeke, Michiel, R
author_sort van Dalum, Christiaan, T
title A module to convert spectral to narrowband snow albedo for use in climate models: SNOWBAL v1.2
title_short A module to convert spectral to narrowband snow albedo for use in climate models: SNOWBAL v1.2
title_full A module to convert spectral to narrowband snow albedo for use in climate models: SNOWBAL v1.2
title_fullStr A module to convert spectral to narrowband snow albedo for use in climate models: SNOWBAL v1.2
title_full_unstemmed A module to convert spectral to narrowband snow albedo for use in climate models: SNOWBAL v1.2
title_sort module to convert spectral to narrowband snow albedo for use in climate models: snowbal v1.2
publisher HAL CCSD
publishDate 2019
url https://hal.science/hal-03094227
https://hal.science/hal-03094227/document
https://hal.science/hal-03094227/file/vanDalum2019_Spectral_Narrowband_Albedo.pdf
https://doi.org/10.5194/gmd-12-5157-2019
long_lat ENVELOPE(65.903,65.903,-70.411,-70.411)
ENVELOPE(161.400,161.400,-77.900,-77.900)
geographic Gardner
Greenland
Kuipers
geographic_facet Gardner
Greenland
Kuipers
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
op_source ISSN: 1991-9603
EISSN: 1991-959X
Geoscientific Model Development
https://hal.science/hal-03094227
Geoscientific Model Development, 2019, 12 (12), pp.5157 - 5175. ⟨10.5194/gmd-12-5157-2019⟩
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hal-03094227
https://hal.science/hal-03094227
https://hal.science/hal-03094227/document
https://hal.science/hal-03094227/file/vanDalum2019_Spectral_Narrowband_Albedo.pdf
doi:10.5194/gmd-12-5157-2019
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.5194/gmd-12-5157-2019
container_title Geoscientific Model Development
container_volume 12
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spelling ftunigrenoble:oai:HAL:hal-03094227v1 2024-05-12T08:04:34+00:00 A module to convert spectral to narrowband snow albedo for use in climate models: SNOWBAL v1.2 van Dalum, Christiaan, T van de Berg, Willem, Jan Libois, Quentin Picard, Ghislain van den Broeke, Michiel, R Institute for Marine and Atmospheric Research Utrecht (IMAU) Universiteit Utrecht / Utrecht University Utrecht Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) 2019-12-11 https://hal.science/hal-03094227 https://hal.science/hal-03094227/document https://hal.science/hal-03094227/file/vanDalum2019_Spectral_Narrowband_Albedo.pdf https://doi.org/10.5194/gmd-12-5157-2019 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-12-5157-2019 hal-03094227 https://hal.science/hal-03094227 https://hal.science/hal-03094227/document https://hal.science/hal-03094227/file/vanDalum2019_Spectral_Narrowband_Albedo.pdf doi:10.5194/gmd-12-5157-2019 info:eu-repo/semantics/OpenAccess ISSN: 1991-9603 EISSN: 1991-959X Geoscientific Model Development https://hal.science/hal-03094227 Geoscientific Model Development, 2019, 12 (12), pp.5157 - 5175. ⟨10.5194/gmd-12-5157-2019⟩ [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment info:eu-repo/semantics/article Journal articles 2019 ftunigrenoble https://doi.org/10.5194/gmd-12-5157-2019 2024-04-18T03:23:12Z International audience Snow albedo schemes in regional climate models often lack a sophisticated radiation penetration scheme and generally compute only a broadband albedo. Here, we present the Spectral-to-NarrOWBand ALbedo module (SNOWBAL, version 1.2) to couple effectively a spectral albedo model with a narrowband radiation scheme. Specifically, the Two-streAm Radiative TransfEr in Snow model (TARTES) is coupled with the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecast System (IFS), cycle 33R1, atmospheric radiation scheme based on the Rapid Radiation Transfer Model, which is embedded in the Regional Atmospheric Climate Model version 2.3p2 (RACMO2). This coupling allows to explicitly account for the effect of clouds, water vapor, snow impurities and snow metamorphism on albedo. Firstly, we present a narrowband albedo method to project the spectral albedos of TARTES onto the 14 spectral bands of the IFS shortwave radiation scheme using a representative wavelength (RW) for each band. Using TARTES and spectral downwelling surface irradiance derived with the DIScrete Ordinate Radiative Transfer atmospheric model, we show that RWs primarily depend on the solar zenith angle (SZA), cloud content and water vapor. Secondly, we compare the TARTES narrowband albedo, using offline RACMO2 results for south Greenland, with the broadband albedo parameterizations of Gardner and Sharp (2010), currently implemented in RACMO2, and the multi-layered parameterization of Kuipers Munneke et al. (2011, PKM). The actual absence of radiation penetration in RACMO2 leads on average to a higher albedo compared with TARTES narrowband albedo. Furthermore, large differences between the TARTES narrowband albedo and PKM and RACMO2 are observed for high SZA and clear-sky conditions, and after melt events when the snowpack is very inhomogeneous. This highlights the importance of accounting for spectral albedo and radiation penetration to simulate the energy budget of the Greenland ice sheet. Article in Journal/Newspaper Greenland Ice Sheet Université Grenoble Alpes: HAL Gardner ENVELOPE(65.903,65.903,-70.411,-70.411) Greenland Kuipers ENVELOPE(161.400,161.400,-77.900,-77.900) Geoscientific Model Development 12 12 5157 5175