Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow
International audience Ice is a highly transparent material in the visible. According to the most widely used database (IA2008; Warren and Brandt, 2008), the ice absorption coefficient reaches values lower than 10 −3 m −1 around 400 nm. These values were obtained from a vertical profile of spectral...
Published in: | The Cryosphere |
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2016
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Online Access: | https://hal.science/hal-03188054 https://hal.science/hal-03188054/document https://hal.science/hal-03188054/file/Picard2016_RefIce_Refinement.pdf https://doi.org/10.5194/tc-10-2655-2016 |
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Open Polar |
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Institut national des sciences de l'Univers: HAL-INSU |
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language |
English |
topic |
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
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[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology Picard, Ghislain Libois, Quentin Arnaud, Laurent Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow |
topic_facet |
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology |
description |
International audience Ice is a highly transparent material in the visible. According to the most widely used database (IA2008; Warren and Brandt, 2008), the ice absorption coefficient reaches values lower than 10 −3 m −1 around 400 nm. These values were obtained from a vertical profile of spectral radiance measured in a single snow layer at Dome C in Antarctica. We reproduced this experiment using an optical fiber inserted in the snow to record 56 profiles from which 70 homogeneous layers were identified. Applying the same estimation method on every layer yields 70 ice absorption spectra. They present a significant variability but absorption coefficients are overall larger than IA2008 by 1 order of magnitude at 400-450 nm. We devised another estimation method based on Bayesian inference that treats all the profiles simultaneously. It reduces the statistical variability and confirms the higher absorption, around 2 × 10 −2 m −1 near the minimum at 440 nm. We explore potential instrumental artifacts by developing a 3-D radiative transfer model able to explicitly account for the presence of the fiber in the snow. The simulation shows that the radiance profile is indeed perturbed by the fiber intrusion, but the error on the ice absorption estimate is not larger than a factor of 2. This is insufficient to explain the difference between our new estimate and IA2008. The same conclusion applies regarding the plausible contamination by black carbon or dust, concentrations reported in the literature are insufficient. Considering the large number of profiles acquired for this study and other estimates from the Antarctic Muon and Neutrino Detector Array (AMANDA), we nevertheless estimate that ice absorption values around 10 −2 m −1 at the minimum are more likely than under 10 −3 m −1. A new estimate in the range 400-600 nm is provided for future model-ing of snow, cloud, and sea-ice optical properties. Most importantly, we recommend that modeling studies take into account the large uncertainty of the ice absorption ... |
author2 |
Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG ) 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 Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-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 Grenoble Alpes 2016-2019 (UGA 2016-2019 ) |
format |
Article in Journal/Newspaper |
author |
Picard, Ghislain Libois, Quentin Arnaud, Laurent |
author_facet |
Picard, Ghislain Libois, Quentin Arnaud, Laurent |
author_sort |
Picard, Ghislain |
title |
Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow |
title_short |
Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow |
title_full |
Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow |
title_fullStr |
Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow |
title_full_unstemmed |
Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow |
title_sort |
refinement of the ice absorption spectrum in the visible using radiance profile measurements in antarctic snow |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.science/hal-03188054 https://hal.science/hal-03188054/document https://hal.science/hal-03188054/file/Picard2016_RefIce_Refinement.pdf https://doi.org/10.5194/tc-10-2655-2016 |
genre |
Antarc* Antarctic Antarctica Sea ice The Cryosphere |
genre_facet |
Antarc* Antarctic Antarctica Sea ice The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03188054 The Cryosphere, 2016, 10 (6), pp.2655-2672. ⟨10.5194/tc-10-2655-2016⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-10-2655-2016 hal-03188054 https://hal.science/hal-03188054 https://hal.science/hal-03188054/document https://hal.science/hal-03188054/file/Picard2016_RefIce_Refinement.pdf doi:10.5194/tc-10-2655-2016 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-10-2655-2016 |
container_title |
The Cryosphere |
container_volume |
10 |
container_issue |
6 |
container_start_page |
2655 |
op_container_end_page |
2672 |
_version_ |
1797572304089120768 |
spelling |
ftinsu:oai:HAL:hal-03188054v1 2024-04-28T07:59:44+00:00 Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow Picard, Ghislain Libois, Quentin Arnaud, Laurent Laboratoire de glaciologie et géophysique de l'environnement (LGGE) Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG ) 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 Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-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 Grenoble Alpes 2016-2019 (UGA 2016-2019 ) 2016 https://hal.science/hal-03188054 https://hal.science/hal-03188054/document https://hal.science/hal-03188054/file/Picard2016_RefIce_Refinement.pdf https://doi.org/10.5194/tc-10-2655-2016 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-10-2655-2016 hal-03188054 https://hal.science/hal-03188054 https://hal.science/hal-03188054/document https://hal.science/hal-03188054/file/Picard2016_RefIce_Refinement.pdf doi:10.5194/tc-10-2655-2016 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03188054 The Cryosphere, 2016, 10 (6), pp.2655-2672. ⟨10.5194/tc-10-2655-2016⟩ [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology info:eu-repo/semantics/article Journal articles 2016 ftinsu https://doi.org/10.5194/tc-10-2655-2016 2024-04-05T00:38:11Z International audience Ice is a highly transparent material in the visible. According to the most widely used database (IA2008; Warren and Brandt, 2008), the ice absorption coefficient reaches values lower than 10 −3 m −1 around 400 nm. These values were obtained from a vertical profile of spectral radiance measured in a single snow layer at Dome C in Antarctica. We reproduced this experiment using an optical fiber inserted in the snow to record 56 profiles from which 70 homogeneous layers were identified. Applying the same estimation method on every layer yields 70 ice absorption spectra. They present a significant variability but absorption coefficients are overall larger than IA2008 by 1 order of magnitude at 400-450 nm. We devised another estimation method based on Bayesian inference that treats all the profiles simultaneously. It reduces the statistical variability and confirms the higher absorption, around 2 × 10 −2 m −1 near the minimum at 440 nm. We explore potential instrumental artifacts by developing a 3-D radiative transfer model able to explicitly account for the presence of the fiber in the snow. The simulation shows that the radiance profile is indeed perturbed by the fiber intrusion, but the error on the ice absorption estimate is not larger than a factor of 2. This is insufficient to explain the difference between our new estimate and IA2008. The same conclusion applies regarding the plausible contamination by black carbon or dust, concentrations reported in the literature are insufficient. Considering the large number of profiles acquired for this study and other estimates from the Antarctic Muon and Neutrino Detector Array (AMANDA), we nevertheless estimate that ice absorption values around 10 −2 m −1 at the minimum are more likely than under 10 −3 m −1. A new estimate in the range 400-600 nm is provided for future model-ing of snow, cloud, and sea-ice optical properties. Most importantly, we recommend that modeling studies take into account the large uncertainty of the ice absorption ... Article in Journal/Newspaper Antarc* Antarctic Antarctica Sea ice The Cryosphere Institut national des sciences de l'Univers: HAL-INSU The Cryosphere 10 6 2655 2672 |