The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions

International audience Snow is a random heterogeneous medium composed of ice, air and possibly water and impurities. All its physical properties depend not only on the properties of these constituent materials but also on their geometrical arrangement at the micrometer scale, the so called microstru...

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Published in:AGU Advances
Main Authors: Picard, Ghislain, Löwe, H., Domine, F., Arnaud, L., Larue, F., Favier, V., Le Meur, E., Lefebvre, E., Savarino, J., Royer, A.
Other Authors: Université Grenoble Alpes (UGA), Université Joseph Fourier - Grenoble 1 (UJF), University of Sheffield Sheffield, Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Takuvik Joint International Laboratory ULAVAL-CNRS, Université Laval Québec (ULaval)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Centre d'Applications et de Recherches en TELédétection Sherbrooke (CARTEL), Département de géomatique appliquée Sherbrooke (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Centre d'Etudes Nordiques (CEN), Université Laval Québec (ULaval)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2022
Subjects:
Online Access:https://hal.science/hal-04389380
https://hal.science/hal-04389380/document
https://hal.science/hal-04389380/file/picard_2022_microwave_grain_size.pdf
https://doi.org/10.1029/2021av000630
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language English
topic H. Löwe F. Domine V. Favier A. Royer
H. Löwe
F. Domine
V. Favier
A. Royer
[SDE]Environmental Sciences
spellingShingle H. Löwe F. Domine V. Favier A. Royer
H. Löwe
F. Domine
V. Favier
A. Royer
[SDE]Environmental Sciences
Picard, Ghislain
Löwe, H.
Domine, F.
Arnaud, L.
Larue, F.
Favier, V.
Le Meur, E.
Lefebvre, E.
Savarino, J.
Royer, A.
The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions
topic_facet H. Löwe F. Domine V. Favier A. Royer
H. Löwe
F. Domine
V. Favier
A. Royer
[SDE]Environmental Sciences
description International audience Snow is a random heterogeneous medium composed of ice, air and possibly water and impurities. All its physical properties depend not only on the properties of these constituent materials but also on their geometrical arrangement at the micrometer scale, the so called microstructure (Torquato, 2002). This applies in particular to the electromagnetic properties that control the propagation of waves in snow, such as the scattering and absorption coefficients. Scattering in snow is caused by the dielectric contrast between air and ice, and its amplitude highly depends on the length scales of the microstructure. The "snow grain size" is an intuitive property commonly estimated in the field (Fierz et al., 2009). However, it is loosely defined from a geometrical point of view because snow crystals often have very complex shapes, leading to imprecise and subjective measurements. Moreover this single metric is insufficient to fully describe all the length scales. Finding a rigorous mathematical representation Abstract Satellite observations of snow-covered regions in the microwave range have the potential to retrieve essential climate variables such as snow height. This requires a precise understanding of how microwave scattering is linked to snow microstructural properties (density, grain size, grain shape and arrangement). This link has so far relied on empirical adjustments of the theories, precluding the development of robust retrieval algorithms. Here we solve this problem by introducing a new microstructural parameter able to consistently predict scattering. This "microwave grain size" is demonstrated to be proportional to the measurable optical grain size and to a new factor describing the chord length dispersion in the microstructure, a geometrical property known as polydispersity. By assuming that the polydispersity depends on the snow grain type only, we retrieve its value for rounded and faceted grains by optimization of microwave satellite observations in 18 Antarctic sites, and for ...
author2 Université Grenoble Alpes (UGA)
Université Joseph Fourier - Grenoble 1 (UJF)
University of Sheffield Sheffield
Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)
Takuvik Joint International Laboratory ULAVAL-CNRS
Université Laval Québec (ULaval)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
Institut des Géosciences de l’Environnement (IGE)
Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )
Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )
Centre d'Applications et de Recherches en TELédétection Sherbrooke (CARTEL)
Département de géomatique appliquée Sherbrooke (UdeS)
Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS)
Centre d'Etudes Nordiques (CEN)
Université Laval Québec (ULaval)
format Article in Journal/Newspaper
author Picard, Ghislain
Löwe, H.
Domine, F.
Arnaud, L.
Larue, F.
Favier, V.
Le Meur, E.
Lefebvre, E.
Savarino, J.
Royer, A.
author_facet Picard, Ghislain
Löwe, H.
Domine, F.
Arnaud, L.
Larue, F.
Favier, V.
Le Meur, E.
Lefebvre, E.
Savarino, J.
Royer, A.
author_sort Picard, Ghislain
title The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions
title_short The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions
title_full The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions
title_fullStr The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions
title_full_unstemmed The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions
title_sort microwave snow grain size: a new concept to predict satellite observations over snow‐covered regions
publisher HAL CCSD
publishDate 2022
url https://hal.science/hal-04389380
https://hal.science/hal-04389380/document
https://hal.science/hal-04389380/file/picard_2022_microwave_grain_size.pdf
https://doi.org/10.1029/2021av000630
geographic Antarctic
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genre Antarc*
Antarctic
genre_facet Antarc*
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op_source ISSN: 2576-604X
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AGU Advances
https://hal.science/hal-04389380
AGU Advances, 2022, 3 (4), ⟨10.1029/2021av000630⟩
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spelling ftccsdartic:oai:HAL:hal-04389380v1 2024-02-11T09:58:41+01:00 The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions Picard, Ghislain Löwe, H. Domine, F. Arnaud, L. Larue, F. Favier, V. Le Meur, E. Lefebvre, E. Savarino, J. Royer, A. Université Grenoble Alpes (UGA) Université Joseph Fourier - Grenoble 1 (UJF) University of Sheffield Sheffield Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT) Takuvik Joint International Laboratory ULAVAL-CNRS Université Laval Québec (ULaval)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) Institut des Géosciences de l’Environnement (IGE) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ) Centre d'Applications et de Recherches en TELédétection Sherbrooke (CARTEL) Département de géomatique appliquée Sherbrooke (UdeS) Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS) Centre d'Etudes Nordiques (CEN) Université Laval Québec (ULaval) 2022-07-04 https://hal.science/hal-04389380 https://hal.science/hal-04389380/document https://hal.science/hal-04389380/file/picard_2022_microwave_grain_size.pdf https://doi.org/10.1029/2021av000630 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.1029/2021av000630 hal-04389380 https://hal.science/hal-04389380 https://hal.science/hal-04389380/document https://hal.science/hal-04389380/file/picard_2022_microwave_grain_size.pdf doi:10.1029/2021av000630 info:eu-repo/semantics/OpenAccess ISSN: 2576-604X EISSN: 2576-604X AGU Advances https://hal.science/hal-04389380 AGU Advances, 2022, 3 (4), ⟨10.1029/2021av000630⟩ H. Löwe F. Domine V. Favier A. Royer H. Löwe F. Domine V. Favier A. Royer [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2022 ftccsdartic https://doi.org/10.1029/2021av000630 2024-01-20T23:44:46Z International audience Snow is a random heterogeneous medium composed of ice, air and possibly water and impurities. All its physical properties depend not only on the properties of these constituent materials but also on their geometrical arrangement at the micrometer scale, the so called microstructure (Torquato, 2002). This applies in particular to the electromagnetic properties that control the propagation of waves in snow, such as the scattering and absorption coefficients. Scattering in snow is caused by the dielectric contrast between air and ice, and its amplitude highly depends on the length scales of the microstructure. The "snow grain size" is an intuitive property commonly estimated in the field (Fierz et al., 2009). However, it is loosely defined from a geometrical point of view because snow crystals often have very complex shapes, leading to imprecise and subjective measurements. Moreover this single metric is insufficient to fully describe all the length scales. Finding a rigorous mathematical representation Abstract Satellite observations of snow-covered regions in the microwave range have the potential to retrieve essential climate variables such as snow height. This requires a precise understanding of how microwave scattering is linked to snow microstructural properties (density, grain size, grain shape and arrangement). This link has so far relied on empirical adjustments of the theories, precluding the development of robust retrieval algorithms. Here we solve this problem by introducing a new microstructural parameter able to consistently predict scattering. This "microwave grain size" is demonstrated to be proportional to the measurable optical grain size and to a new factor describing the chord length dispersion in the microstructure, a geometrical property known as polydispersity. By assuming that the polydispersity depends on the snow grain type only, we retrieve its value for rounded and faceted grains by optimization of microwave satellite observations in 18 Antarctic sites, and for ... Article in Journal/Newspaper Antarc* Antarctic Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Antarctic AGU Advances 3 4