Correlation between the specific surface area and the short wave infrared (SWIR) reflectance of snow

International audience The albedo of snow is determined in part by the size and shape of snow crystals, especially in the short wave infrared (SWIR). Many models of snow albedo represent snow crystals by spheres of surface/volume (S/V) ratio equal to that of snow crystals. However, the actual S/V ra...

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Published in:Cold Regions Science and Technology
Main Authors: Domine, Florent, Salvatori, Rosamaria, Legagneux, Loic, Salzano, Roberto, Fily, Michel, Casacchia, Ruggero
Other Authors: Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institute of Atmospheric Pollution Research (IIA), Consiglio Nazionale delle Ricerche Roma (CNR)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2006
Subjects:
Online Access:https://hal-insu.archives-ouvertes.fr/insu-00375443
https://doi.org/10.1016/j.coldregions.2006.06.002
id ftunivnantes:oai:HAL:insu-00375443v1
record_format openpolar
institution Open Polar
collection Université de Nantes: HAL-UNIV-NANTES
op_collection_id ftunivnantes
language English
topic Snow
Specific surface area
Albedo
Reflectance
Short wave infrared
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
spellingShingle Snow
Specific surface area
Albedo
Reflectance
Short wave infrared
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
Domine, Florent
Salvatori, Rosamaria
Legagneux, Loic
Salzano, Roberto
Fily, Michel
Casacchia, Ruggero
Correlation between the specific surface area and the short wave infrared (SWIR) reflectance of snow
topic_facet Snow
Specific surface area
Albedo
Reflectance
Short wave infrared
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
description International audience The albedo of snow is determined in part by the size and shape of snow crystals, especially in the short wave infrared (SWIR). Many models of snow albedo represent snow crystals by spheres of surface/volume (S/V) ratio equal to that of snow crystals. However, the actual S/V ratio of snow has never been measured simultaneously with the albedo, for a thorough test of models. Using CH4 adsorption at 77 K, we have measured the specific surface area (SSA) of snow samples, i.e. its ratio S/(V · ρ), where ρ is the density of ice, together with the snow spectral albedo using a field radiometer with nadir viewing, at Ny-Ålesund, Svalbard. Tests are performed at 1310, 1629, 1740 and 2260 nm, and we find a good correlation between the SSA and the snow spectral albedo in the SWIR (linear correlation coefficient R2 > 0.98 for the last 3 wavelengths). Snow samples having varied crystals shapes such as rounded crystals in windpacks and hollow faceted crystals in depth hoar were studied and crystal shape did not affect the correlation in a detectable manner. An interest in using SSA rather than crystal size to predict SWIR albedo is that the reflectance of large hollow crystals such as depth hoar or surface hoar will be correctly predicted from their SSA, while considering their large dimensions would underestimate reflectance. We compare these correlations to those predicted by commonly used optical models. The best agreement is found when we compare our data to the modeled hemispheric reflectance, corrected by an adjustable factor that shows a small wavelength dependence. We propose that, once these results have been confirmed by more studies, it may be possible to design a rapid and simple optical method to measure snow SSA in the field. Our results may also allow a more detailed use of remote sensing data to study snow metamorphism, air–snow exchanges of gases, and climate.
author2 Laboratoire de glaciologie et géophysique de l'environnement (LGGE)
Observatoire des Sciences de l'Univers de Grenoble (OSUG)
Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Institute of Atmospheric Pollution Research (IIA)
Consiglio Nazionale delle Ricerche Roma (CNR)
format Article in Journal/Newspaper
author Domine, Florent
Salvatori, Rosamaria
Legagneux, Loic
Salzano, Roberto
Fily, Michel
Casacchia, Ruggero
author_facet Domine, Florent
Salvatori, Rosamaria
Legagneux, Loic
Salzano, Roberto
Fily, Michel
Casacchia, Ruggero
author_sort Domine, Florent
title Correlation between the specific surface area and the short wave infrared (SWIR) reflectance of snow
title_short Correlation between the specific surface area and the short wave infrared (SWIR) reflectance of snow
title_full Correlation between the specific surface area and the short wave infrared (SWIR) reflectance of snow
title_fullStr Correlation between the specific surface area and the short wave infrared (SWIR) reflectance of snow
title_full_unstemmed Correlation between the specific surface area and the short wave infrared (SWIR) reflectance of snow
title_sort correlation between the specific surface area and the short wave infrared (swir) reflectance of snow
publisher HAL CCSD
publishDate 2006
url https://hal-insu.archives-ouvertes.fr/insu-00375443
https://doi.org/10.1016/j.coldregions.2006.06.002
geographic Svalbard
Ny-Ålesund
geographic_facet Svalbard
Ny-Ålesund
genre Ny Ålesund
Ny-Ålesund
Svalbard
genre_facet Ny Ålesund
Ny-Ålesund
Svalbard
op_source ISSN: 0165-232X
Cold Regions Science and Technology
https://hal-insu.archives-ouvertes.fr/insu-00375443
Cold Regions Science and Technology, 2006, 46 (1), pp.60 à 68. ⟨10.1016/j.coldregions.2006.06.002⟩
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doi:10.1016/j.coldregions.2006.06.002
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container_title Cold Regions Science and Technology
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spelling ftunivnantes:oai:HAL:insu-00375443v1 2023-05-15T17:48:29+02:00 Correlation between the specific surface area and the short wave infrared (SWIR) reflectance of snow Domine, Florent Salvatori, Rosamaria Legagneux, Loic Salzano, Roberto Fily, Michel Casacchia, Ruggero Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Observatoire des Sciences de l'Univers de Grenoble (OSUG) Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Institute of Atmospheric Pollution Research (IIA) Consiglio Nazionale delle Ricerche Roma (CNR) 2006 https://hal-insu.archives-ouvertes.fr/insu-00375443 https://doi.org/10.1016/j.coldregions.2006.06.002 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.coldregions.2006.06.002 insu-00375443 https://hal-insu.archives-ouvertes.fr/insu-00375443 doi:10.1016/j.coldregions.2006.06.002 ISSN: 0165-232X Cold Regions Science and Technology https://hal-insu.archives-ouvertes.fr/insu-00375443 Cold Regions Science and Technology, 2006, 46 (1), pp.60 à 68. ⟨10.1016/j.coldregions.2006.06.002⟩ Snow Specific surface area Albedo Reflectance Short wave infrared [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology info:eu-repo/semantics/article Journal articles 2006 ftunivnantes https://doi.org/10.1016/j.coldregions.2006.06.002 2023-02-08T02:32:40Z International audience The albedo of snow is determined in part by the size and shape of snow crystals, especially in the short wave infrared (SWIR). Many models of snow albedo represent snow crystals by spheres of surface/volume (S/V) ratio equal to that of snow crystals. However, the actual S/V ratio of snow has never been measured simultaneously with the albedo, for a thorough test of models. Using CH4 adsorption at 77 K, we have measured the specific surface area (SSA) of snow samples, i.e. its ratio S/(V · ρ), where ρ is the density of ice, together with the snow spectral albedo using a field radiometer with nadir viewing, at Ny-Ålesund, Svalbard. Tests are performed at 1310, 1629, 1740 and 2260 nm, and we find a good correlation between the SSA and the snow spectral albedo in the SWIR (linear correlation coefficient R2 > 0.98 for the last 3 wavelengths). Snow samples having varied crystals shapes such as rounded crystals in windpacks and hollow faceted crystals in depth hoar were studied and crystal shape did not affect the correlation in a detectable manner. An interest in using SSA rather than crystal size to predict SWIR albedo is that the reflectance of large hollow crystals such as depth hoar or surface hoar will be correctly predicted from their SSA, while considering their large dimensions would underestimate reflectance. We compare these correlations to those predicted by commonly used optical models. The best agreement is found when we compare our data to the modeled hemispheric reflectance, corrected by an adjustable factor that shows a small wavelength dependence. We propose that, once these results have been confirmed by more studies, it may be possible to design a rapid and simple optical method to measure snow SSA in the field. Our results may also allow a more detailed use of remote sensing data to study snow metamorphism, air–snow exchanges of gases, and climate. Article in Journal/Newspaper Ny Ålesund Ny-Ålesund Svalbard Université de Nantes: HAL-UNIV-NANTES Svalbard Ny-Ålesund Cold Regions Science and Technology 46 1 60 68