X-Ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model
The modular Snow Microwave Radiative Transfer (SMRT) model simulates microwave scattering behavior in snow via different selectable theories and snow microstructure representations, which is well suited to intercomparisons analyses. Here, five microstructure models were parameterized from X-ray tomo...
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Online Access: | https://centaur.reading.ac.uk/101250/ https://centaur.reading.ac.uk/101250/9/X-Ray_Tomography-Based_Microstructure_Representation_in_the_Snow_Microwave_Radiative_Transfer_Model.pdf |
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ftunivreading:oai:centaur.reading.ac.uk:101250 2023-09-05T13:23:09+02:00 X-Ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model Sandells, Melody Lowe, Henning Picard, Ghislain Dumont, Marie Essery, Richard Floury, Nicolas Kontu, Anna Lemmetyinen, Juha Maslanka, William Morin, Samuel Wiesmann, Andreas Matzler, Christian 2022 text https://centaur.reading.ac.uk/101250/ https://centaur.reading.ac.uk/101250/9/X-Ray_Tomography-Based_Microstructure_Representation_in_the_Snow_Microwave_Radiative_Transfer_Model.pdf en eng IEEE Geoscience and Remote Sensing Society https://centaur.reading.ac.uk/101250/9/X-Ray_Tomography-Based_Microstructure_Representation_in_the_Snow_Microwave_Radiative_Transfer_Model.pdf Sandells, Melody, Lowe, Henning, Picard, Ghislain, Dumont, Marie, Essery, Richard, Floury, Nicolas, Kontu, Anna, Lemmetyinen, Juha, Maslanka, William ORCID logoorcid:0000-0002-1777-733X , Morin, Samuel, Wiesmann, Andreas and Matzler, Christian (2022) X-Ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model. IEEE Transactions on Geoscience and Remote Sensing, 60. ISSN 0196-2892 doi: https://doi.org/10.1109/TGRS.2021.3086412 <https://doi.org/10.1109/TGRS.2021.3086412> cc_by_4 Article PeerReviewed 2022 ftunivreading https://doi.org/10.1109/TGRS.2021.3086412 2023-08-14T18:15:37Z The modular Snow Microwave Radiative Transfer (SMRT) model simulates microwave scattering behavior in snow via different selectable theories and snow microstructure representations, which is well suited to intercomparisons analyses. Here, five microstructure models were parameterized from X-ray tomography and thin-section images of snow samples and evaluated with SMRT. Three field experiments provided observations of scattering and absorption coefficients, brightness temperature, and/or backscatter with the increasing complexity of snowpack. These took place in Sodankylä, Finland, and Weissfluhjoch, Switzerland. Simulations of scattering and absorption coefficients agreed well with observations, with higher errors for snow with predominantly vertical structures. For simulation of brightness temperature, difficulty in retrieving stickiness with the Sticky Hard Sphere microstructure model resulted in relatively poor performance for two experiments, but good agreement for the third. Exponential microstructure gave generally good results, near to the best performing models for two field experiments. The Independent Sphere model gave intermediate results. New Teubner–Strey and Gaussian Random Field models demonstrated the advantages of SMRT over microwave models with restricted microstructural geometry. Relative model performance is assessed by the quality of the microstructure model fit to microcomputed tomography (CT) data and further improvements may be possible with different fitting techniques. Careful consideration of simulation stratigraphy is required in this new era of high resolution microstructure measurement as layers thinner than the wavelength introduce artificial scattering boundaries not seen by the instrument. Article in Journal/Newspaper Sodankylä CentAUR: Central Archive at the University of Reading Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) IEEE Transactions on Geoscience and Remote Sensing 60 1 15 |
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Open Polar |
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CentAUR: Central Archive at the University of Reading |
op_collection_id |
ftunivreading |
language |
English |
description |
The modular Snow Microwave Radiative Transfer (SMRT) model simulates microwave scattering behavior in snow via different selectable theories and snow microstructure representations, which is well suited to intercomparisons analyses. Here, five microstructure models were parameterized from X-ray tomography and thin-section images of snow samples and evaluated with SMRT. Three field experiments provided observations of scattering and absorption coefficients, brightness temperature, and/or backscatter with the increasing complexity of snowpack. These took place in Sodankylä, Finland, and Weissfluhjoch, Switzerland. Simulations of scattering and absorption coefficients agreed well with observations, with higher errors for snow with predominantly vertical structures. For simulation of brightness temperature, difficulty in retrieving stickiness with the Sticky Hard Sphere microstructure model resulted in relatively poor performance for two experiments, but good agreement for the third. Exponential microstructure gave generally good results, near to the best performing models for two field experiments. The Independent Sphere model gave intermediate results. New Teubner–Strey and Gaussian Random Field models demonstrated the advantages of SMRT over microwave models with restricted microstructural geometry. Relative model performance is assessed by the quality of the microstructure model fit to microcomputed tomography (CT) data and further improvements may be possible with different fitting techniques. Careful consideration of simulation stratigraphy is required in this new era of high resolution microstructure measurement as layers thinner than the wavelength introduce artificial scattering boundaries not seen by the instrument. |
format |
Article in Journal/Newspaper |
author |
Sandells, Melody Lowe, Henning Picard, Ghislain Dumont, Marie Essery, Richard Floury, Nicolas Kontu, Anna Lemmetyinen, Juha Maslanka, William Morin, Samuel Wiesmann, Andreas Matzler, Christian |
spellingShingle |
Sandells, Melody Lowe, Henning Picard, Ghislain Dumont, Marie Essery, Richard Floury, Nicolas Kontu, Anna Lemmetyinen, Juha Maslanka, William Morin, Samuel Wiesmann, Andreas Matzler, Christian X-Ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model |
author_facet |
Sandells, Melody Lowe, Henning Picard, Ghislain Dumont, Marie Essery, Richard Floury, Nicolas Kontu, Anna Lemmetyinen, Juha Maslanka, William Morin, Samuel Wiesmann, Andreas Matzler, Christian |
author_sort |
Sandells, Melody |
title |
X-Ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model |
title_short |
X-Ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model |
title_full |
X-Ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model |
title_fullStr |
X-Ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model |
title_full_unstemmed |
X-Ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model |
title_sort |
x-ray tomography-based microstructure representation in the snow microwave radiative transfer model |
publisher |
IEEE Geoscience and Remote Sensing Society |
publishDate |
2022 |
url |
https://centaur.reading.ac.uk/101250/ https://centaur.reading.ac.uk/101250/9/X-Ray_Tomography-Based_Microstructure_Representation_in_the_Snow_Microwave_Radiative_Transfer_Model.pdf |
long_lat |
ENVELOPE(26.600,26.600,67.417,67.417) |
geographic |
Sodankylä |
geographic_facet |
Sodankylä |
genre |
Sodankylä |
genre_facet |
Sodankylä |
op_relation |
https://centaur.reading.ac.uk/101250/9/X-Ray_Tomography-Based_Microstructure_Representation_in_the_Snow_Microwave_Radiative_Transfer_Model.pdf Sandells, Melody, Lowe, Henning, Picard, Ghislain, Dumont, Marie, Essery, Richard, Floury, Nicolas, Kontu, Anna, Lemmetyinen, Juha, Maslanka, William ORCID logoorcid:0000-0002-1777-733X , Morin, Samuel, Wiesmann, Andreas and Matzler, Christian (2022) X-Ray tomography-based microstructure representation in the Snow Microwave Radiative Transfer model. IEEE Transactions on Geoscience and Remote Sensing, 60. ISSN 0196-2892 doi: https://doi.org/10.1109/TGRS.2021.3086412 <https://doi.org/10.1109/TGRS.2021.3086412> |
op_rights |
cc_by_4 |
op_doi |
https://doi.org/10.1109/TGRS.2021.3086412 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
60 |
container_start_page |
1 |
op_container_end_page |
15 |
_version_ |
1776203721975267328 |