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Unraveling the optical shape of snow
The reflection of sunlight off the snow is a major driver of the Earth’s climate. This reflection is governed by the shape and arrangement of ice crystals at the micrometer scale, called snow microstructure. However, snow optical models overlook the complexity of this microstructure by using simple...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329009/ https://www.ncbi.nlm.nih.gov/pubmed/37419915 http://dx.doi.org/10.1038/s41467-023-39671-3 |
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author | Robledano, Alvaro Picard, Ghislain Dumont, Marie Flin, Frédéric Arnaud, Laurent Libois, Quentin |
author_facet | Robledano, Alvaro Picard, Ghislain Dumont, Marie Flin, Frédéric Arnaud, Laurent Libois, Quentin |
author_sort | Robledano, Alvaro |
collection | PubMed |
description | The reflection of sunlight off the snow is a major driver of the Earth’s climate. This reflection is governed by the shape and arrangement of ice crystals at the micrometer scale, called snow microstructure. However, snow optical models overlook the complexity of this microstructure by using simple shapes, and mainly spheres. The use of these various shapes leads to large uncertainties in climate modeling, which could reach 1.2 K in global air temperature. Here, we accurately simulate light propagation in three-dimensional images of natural snow at the micrometer scale, revealing the optical shape of snow. This optical shape is neither spherical nor close to the other idealized shapes commonly used in models. Instead, it more closely approximates a collection of convex particles without symmetry. Besides providing a more realistic representation of snow in the visible and near-infrared spectral region (400 to 1400 nm), this breakthrough can be directly used in climate models, reducing by 3 the uncertainties in global air temperature related to the optical shape of snow. |
format | Online Article Text |
id | pubmed-10329009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103290092023-07-09 Unraveling the optical shape of snow Robledano, Alvaro Picard, Ghislain Dumont, Marie Flin, Frédéric Arnaud, Laurent Libois, Quentin Nat Commun Article The reflection of sunlight off the snow is a major driver of the Earth’s climate. This reflection is governed by the shape and arrangement of ice crystals at the micrometer scale, called snow microstructure. However, snow optical models overlook the complexity of this microstructure by using simple shapes, and mainly spheres. The use of these various shapes leads to large uncertainties in climate modeling, which could reach 1.2 K in global air temperature. Here, we accurately simulate light propagation in three-dimensional images of natural snow at the micrometer scale, revealing the optical shape of snow. This optical shape is neither spherical nor close to the other idealized shapes commonly used in models. Instead, it more closely approximates a collection of convex particles without symmetry. Besides providing a more realistic representation of snow in the visible and near-infrared spectral region (400 to 1400 nm), this breakthrough can be directly used in climate models, reducing by 3 the uncertainties in global air temperature related to the optical shape of snow. Nature Publishing Group UK 2023-07-07 /pmc/articles/PMC10329009/ /pubmed/37419915 http://dx.doi.org/10.1038/s41467-023-39671-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Robledano, Alvaro Picard, Ghislain Dumont, Marie Flin, Frédéric Arnaud, Laurent Libois, Quentin Unraveling the optical shape of snow |
title | Unraveling the optical shape of snow |
title_full | Unraveling the optical shape of snow |
title_fullStr | Unraveling the optical shape of snow |
title_full_unstemmed | Unraveling the optical shape of snow |
title_short | Unraveling the optical shape of snow |
title_sort | unraveling the optical shape of snow |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329009/ https://www.ncbi.nlm.nih.gov/pubmed/37419915 http://dx.doi.org/10.1038/s41467-023-39671-3 |
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