Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure
Snow stands out from materials at the Earth’s surface owing to its unique optical properties. Snow optical properties are sensitive to the snow microstructure, triggering potent climate feedbacks. The impacts of snow microstructure on its optical properties such as reflectance are, to date, only par...
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2021
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00057818 2024-09-15T18:39:00+00:00 Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure Dumont, Marie Flin, Frederic Malinka, Aleksey Brissaud, Olivier Hagenmuller, Pascal Lapalus, Philippe Lesaffre, Bernard Dufour, Anne Calonne, Neige Rolland du Roscoat, Sabine Ando, Edward 2021-08 electronic https://doi.org/10.5194/tc-15-3921-2021 https://noa.gwlb.de/receive/cop_mods_00057818 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057468/tc-15-3921-2021.pdf https://tc.copernicus.org/articles/15/3921/2021/tc-15-3921-2021.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-15-3921-2021 https://noa.gwlb.de/receive/cop_mods_00057818 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057468/tc-15-3921-2021.pdf https://tc.copernicus.org/articles/15/3921/2021/tc-15-3921-2021.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2021 ftnonlinearchiv https://doi.org/10.5194/tc-15-3921-2021 2024-06-26T04:38:21Z Snow stands out from materials at the Earth’s surface owing to its unique optical properties. Snow optical properties are sensitive to the snow microstructure, triggering potent climate feedbacks. The impacts of snow microstructure on its optical properties such as reflectance are, to date, only partially understood. However, precise modelling of snow reflectance, particularly bidirectional reflectance, are required in many problems, e.g. to correctly process satellite data over snow-covered areas. This study presents a dataset that combines bidirectional reflectance measurements over 500–2500 nm and the X-ray tomography of the snow microstructure for three snow samples of two different morphological types. The dataset is used to evaluate the stereological approach from Malinka (2014) that relates snow optical properties to the chord length distribution in the snow microstructure. The mean chord length and specific surface area (SSA) retrieved with this approach from the albedo spectrum and those measured by the X-ray tomography are in excellent agreement. The analysis of the 3D images has shown that the random chords of the ice phase obey the gamma distribution with the shape parameter m taking the value approximately equal to or a little greater than 2. For weak and intermediate absorption (high and medium albedo), the simulated bidirectional reflectances reproduce the measured ones accurately but tend to slightly overestimate the anisotropy of the radiation. For such absorptions the use of the exponential law for the ice chord length distribution instead of the one measured with the X-ray tomography does not affect the simulated reflectance. In contrast, under high absorption (albedo of a few percent), snow microstructure and especially facet orientation at the surface play a significant role in the reflectance, particularly at oblique viewing and incidence. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 15 8 3921 3948 |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Dumont, Marie Flin, Frederic Malinka, Aleksey Brissaud, Olivier Hagenmuller, Pascal Lapalus, Philippe Lesaffre, Bernard Dufour, Anne Calonne, Neige Rolland du Roscoat, Sabine Ando, Edward Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure |
topic_facet |
article Verlagsveröffentlichung |
description |
Snow stands out from materials at the Earth’s surface owing to its unique optical properties. Snow optical properties are sensitive to the snow microstructure, triggering potent climate feedbacks. The impacts of snow microstructure on its optical properties such as reflectance are, to date, only partially understood. However, precise modelling of snow reflectance, particularly bidirectional reflectance, are required in many problems, e.g. to correctly process satellite data over snow-covered areas. This study presents a dataset that combines bidirectional reflectance measurements over 500–2500 nm and the X-ray tomography of the snow microstructure for three snow samples of two different morphological types. The dataset is used to evaluate the stereological approach from Malinka (2014) that relates snow optical properties to the chord length distribution in the snow microstructure. The mean chord length and specific surface area (SSA) retrieved with this approach from the albedo spectrum and those measured by the X-ray tomography are in excellent agreement. The analysis of the 3D images has shown that the random chords of the ice phase obey the gamma distribution with the shape parameter m taking the value approximately equal to or a little greater than 2. For weak and intermediate absorption (high and medium albedo), the simulated bidirectional reflectances reproduce the measured ones accurately but tend to slightly overestimate the anisotropy of the radiation. For such absorptions the use of the exponential law for the ice chord length distribution instead of the one measured with the X-ray tomography does not affect the simulated reflectance. In contrast, under high absorption (albedo of a few percent), snow microstructure and especially facet orientation at the surface play a significant role in the reflectance, particularly at oblique viewing and incidence. |
format |
Article in Journal/Newspaper |
author |
Dumont, Marie Flin, Frederic Malinka, Aleksey Brissaud, Olivier Hagenmuller, Pascal Lapalus, Philippe Lesaffre, Bernard Dufour, Anne Calonne, Neige Rolland du Roscoat, Sabine Ando, Edward |
author_facet |
Dumont, Marie Flin, Frederic Malinka, Aleksey Brissaud, Olivier Hagenmuller, Pascal Lapalus, Philippe Lesaffre, Bernard Dufour, Anne Calonne, Neige Rolland du Roscoat, Sabine Ando, Edward |
author_sort |
Dumont, Marie |
title |
Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure |
title_short |
Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure |
title_full |
Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure |
title_fullStr |
Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure |
title_full_unstemmed |
Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure |
title_sort |
experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/tc-15-3921-2021 https://noa.gwlb.de/receive/cop_mods_00057818 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057468/tc-15-3921-2021.pdf https://tc.copernicus.org/articles/15/3921/2021/tc-15-3921-2021.pdf |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-15-3921-2021 https://noa.gwlb.de/receive/cop_mods_00057818 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00057468/tc-15-3921-2021.pdf https://tc.copernicus.org/articles/15/3921/2021/tc-15-3921-2021.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-15-3921-2021 |
container_title |
The Cryosphere |
container_volume |
15 |
container_issue |
8 |
container_start_page |
3921 |
op_container_end_page |
3948 |
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1810483387080638464 |