Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow

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 si...

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Published in:The Cryosphere
Main Authors: G. Picard, Q. Libois, L. Arnaud
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2016
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-10-2655-2016
http://www.the-cryosphere.net/10/2655/2016/tc-10-2655-2016.pdf
https://doaj.org/article/3563916d25f64045a64a02e2c03661c9
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:3563916d25f64045a64a02e2c03661c9 2023-05-15T13:36:22+02:00 Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow G. Picard Q. Libois L. Arnaud 2016-11-01 https://doi.org/10.5194/tc-10-2655-2016 http://www.the-cryosphere.net/10/2655/2016/tc-10-2655-2016.pdf https://doaj.org/article/3563916d25f64045a64a02e2c03661c9 en eng Copernicus Publications 1994-0416 1994-0424 doi:10.5194/tc-10-2655-2016 http://www.the-cryosphere.net/10/2655/2016/tc-10-2655-2016.pdf https://doaj.org/article/3563916d25f64045a64a02e2c03661c9 undefined The Cryosphere, Vol 10, Iss 6, Pp 2655-2672 (2016) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2016 fttriple https://doi.org/10.5194/tc-10-2655-2016 2023-01-22T19:33:34Z 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 modeling 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 coefficient in the visible and that ... Article in Journal/Newspaper Antarc* Antarctic Antarctica Sea ice The Cryosphere Unknown Antarctic The Antarctic The Cryosphere 10 6 2655 2672
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
G. Picard
Q. Libois
L. Arnaud
Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow
topic_facet geo
envir
description 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 modeling 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 coefficient in the visible and that ...
format Article in Journal/Newspaper
author G. Picard
Q. Libois
L. Arnaud
author_facet G. Picard
Q. Libois
L. Arnaud
author_sort G. Picard
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 Copernicus Publications
publishDate 2016
url https://doi.org/10.5194/tc-10-2655-2016
http://www.the-cryosphere.net/10/2655/2016/tc-10-2655-2016.pdf
https://doaj.org/article/3563916d25f64045a64a02e2c03661c9
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
Antarctica
Sea ice
The Cryosphere
genre_facet Antarc*
Antarctic
Antarctica
Sea ice
The Cryosphere
op_source The Cryosphere, Vol 10, Iss 6, Pp 2655-2672 (2016)
op_relation 1994-0416
1994-0424
doi:10.5194/tc-10-2655-2016
http://www.the-cryosphere.net/10/2655/2016/tc-10-2655-2016.pdf
https://doaj.org/article/3563916d25f64045a64a02e2c03661c9
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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
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