Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT)

International audience Radar altimeters are important tools to monitor the volume of the ice sheets. The penetration of radar waves in the snowpack is a major source of uncertainty to retrieve surface elevation. To correct this effect, a better understanding of the sensitivity of the radar waveforms...

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Published in:Remote Sensing of Environment
Main Authors: Larue, Fanny, Picard, Ghislain, Aublanc, Jérémie, Arnaud, Laurent, Robledano-Perez, Alvaro, Le Meur, Emmanuel, Favier, Vincent, Jourdain, Bruno, Savarino, Joel, Thibaut, Pierre
Other Authors: 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 ), Université Grenoble Alpes (UGA), Collecte Localisation Satellites (CLS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2021
Subjects:
Online Access:https://hal.science/hal-03402150
https://hal.science/hal-03402150/document
https://hal.science/hal-03402150/file/altimetry_RSE_Fanny_Larue_11042021.pdf
https://doi.org/10.1016/j.rse.2021.112534
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spelling ftunivnantes:oai:HAL:hal-03402150v1 2023-05-15T13:45:08+02:00 Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT) Larue, Fanny Picard, Ghislain Aublanc, Jérémie Arnaud, Laurent Robledano-Perez, Alvaro Le Meur, Emmanuel Favier, Vincent Jourdain, Bruno Savarino, Joel Thibaut, Pierre 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 ) Université Grenoble Alpes (UGA) Collecte Localisation Satellites (CLS) 2021-09 https://hal.science/hal-03402150 https://hal.science/hal-03402150/document https://hal.science/hal-03402150/file/altimetry_RSE_Fanny_Larue_11042021.pdf https://doi.org/10.1016/j.rse.2021.112534 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2021.112534 hal-03402150 https://hal.science/hal-03402150 https://hal.science/hal-03402150/document https://hal.science/hal-03402150/file/altimetry_RSE_Fanny_Larue_11042021.pdf doi:10.1016/j.rse.2021.112534 info:eu-repo/semantics/OpenAccess ISSN: 0034-4257 EISSN: 0034-4257 Remote Sensing of Environment https://hal.science/hal-03402150 Remote Sensing of Environment, 2021, 263, pp.112534. ⟨10.1016/j.rse.2021.112534⟩ Antarctic ice sheet SMRT remote sensing radar altimetry waveform modeling field measurements [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2021 ftunivnantes https://doi.org/10.1016/j.rse.2021.112534 2023-03-01T02:10:38Z International audience Radar altimeters are important tools to monitor the volume of the ice sheets. The penetration of radar waves in the snowpack is a major source of uncertainty to retrieve surface elevation. To correct this effect, a better understanding of the sensitivity of the radar waveforms to snow properties is needed. Here, we present an extension of the Snow Model Radiative Transfer (SMRT) to compute radar waveforms and conduct a series of simulations on the Antarctic ice sheet. SMRT is driven by snow and surface roughness properties measured over a large latitudinal range during two field campaigns on the Antarctic Plateau. These measurements show that the snowpack is rougher, denser, less stratified, warmer, and has smaller snow grains near the coast than on the central Plateau. These simulations are compared to satellite observations in the Ka, Ku, and S bands. SMRT reproduces the observed waveforms well. For all sites and all sensors, the main contribution comes from the surface echo. The echo from snow grains (volume scattering) represents up to 40% of the amplitude of the total waveform power in the Ka band, and less at the lower frequencies. The highest amplitude is observed on the central Plateau due to the combination Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Sheet Université de Nantes: HAL-UNIV-NANTES Antarctic The Antarctic Remote Sensing of Environment 263 112534
institution Open Polar
collection Université de Nantes: HAL-UNIV-NANTES
op_collection_id ftunivnantes
language English
topic Antarctic ice sheet
SMRT
remote sensing
radar altimetry
waveform
modeling
field measurements
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
spellingShingle Antarctic ice sheet
SMRT
remote sensing
radar altimetry
waveform
modeling
field measurements
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
Larue, Fanny
Picard, Ghislain
Aublanc, Jérémie
Arnaud, Laurent
Robledano-Perez, Alvaro
Le Meur, Emmanuel
Favier, Vincent
Jourdain, Bruno
Savarino, Joel
Thibaut, Pierre
Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT)
topic_facet Antarctic ice sheet
SMRT
remote sensing
radar altimetry
waveform
modeling
field measurements
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
description International audience Radar altimeters are important tools to monitor the volume of the ice sheets. The penetration of radar waves in the snowpack is a major source of uncertainty to retrieve surface elevation. To correct this effect, a better understanding of the sensitivity of the radar waveforms to snow properties is needed. Here, we present an extension of the Snow Model Radiative Transfer (SMRT) to compute radar waveforms and conduct a series of simulations on the Antarctic ice sheet. SMRT is driven by snow and surface roughness properties measured over a large latitudinal range during two field campaigns on the Antarctic Plateau. These measurements show that the snowpack is rougher, denser, less stratified, warmer, and has smaller snow grains near the coast than on the central Plateau. These simulations are compared to satellite observations in the Ka, Ku, and S bands. SMRT reproduces the observed waveforms well. For all sites and all sensors, the main contribution comes from the surface echo. The echo from snow grains (volume scattering) represents up to 40% of the amplitude of the total waveform power in the Ka band, and less at the lower frequencies. The highest amplitude is observed on the central Plateau due to the combination
author2 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 )
Université Grenoble Alpes (UGA)
Collecte Localisation Satellites (CLS)
format Article in Journal/Newspaper
author Larue, Fanny
Picard, Ghislain
Aublanc, Jérémie
Arnaud, Laurent
Robledano-Perez, Alvaro
Le Meur, Emmanuel
Favier, Vincent
Jourdain, Bruno
Savarino, Joel
Thibaut, Pierre
author_facet Larue, Fanny
Picard, Ghislain
Aublanc, Jérémie
Arnaud, Laurent
Robledano-Perez, Alvaro
Le Meur, Emmanuel
Favier, Vincent
Jourdain, Bruno
Savarino, Joel
Thibaut, Pierre
author_sort Larue, Fanny
title Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT)
title_short Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT)
title_full Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT)
title_fullStr Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT)
title_full_unstemmed Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT)
title_sort radar altimeter waveform simulations in antarctica with the snow microwave radiative transfer model (smrt)
publisher HAL CCSD
publishDate 2021
url https://hal.science/hal-03402150
https://hal.science/hal-03402150/document
https://hal.science/hal-03402150/file/altimetry_RSE_Fanny_Larue_11042021.pdf
https://doi.org/10.1016/j.rse.2021.112534
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
Antarctica
Ice Sheet
genre_facet Antarc*
Antarctic
Antarctica
Ice Sheet
op_source ISSN: 0034-4257
EISSN: 0034-4257
Remote Sensing of Environment
https://hal.science/hal-03402150
Remote Sensing of Environment, 2021, 263, pp.112534. ⟨10.1016/j.rse.2021.112534⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2021.112534
hal-03402150
https://hal.science/hal-03402150
https://hal.science/hal-03402150/document
https://hal.science/hal-03402150/file/altimetry_RSE_Fanny_Larue_11042021.pdf
doi:10.1016/j.rse.2021.112534
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.1016/j.rse.2021.112534
container_title Remote Sensing of Environment
container_volume 263
container_start_page 112534
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