Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony
International audience This article describes the observation techniques and suggests processing methods to estimate dynamical seaice parameters from data of the Earth Explorer 10 candidate Harmony. The two Harmony satellites will fly in a reconfigurable formation with Sentinel-1D. Both will be equi...
Published in: | The Cryosphere |
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Main Authors: | , , , , , , , , , |
Other Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2021
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Online Access: | https://hal.science/hal-03796527 https://hal.science/hal-03796527/document https://hal.science/hal-03796527/file/Kleinherenbrink2021_The%20Cryosphere.pdf https://doi.org/10.5194/tc-15-3101-2021 |
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Université Grenoble Alpes: HAL |
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English |
topic |
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDE.IE]Environmental Sciences/Environmental Engineering |
spellingShingle |
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDE.IE]Environmental Sciences/Environmental Engineering Kleinherenbrink, Marcel Korosov, Anton Newman, Thomas Theodosiou, Andreas Komarov, Alexander, S Li, Yuanhao Mulder, Gert Rampal, Pierre Stroeve, Julienne Lopez-Dekker, Paco Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony |
topic_facet |
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDE.IE]Environmental Sciences/Environmental Engineering |
description |
International audience This article describes the observation techniques and suggests processing methods to estimate dynamical seaice parameters from data of the Earth Explorer 10 candidate Harmony. The two Harmony satellites will fly in a reconfigurable formation with Sentinel-1D. Both will be equipped with a multi-angle thermal infrared sensor and a passive radar receiver, which receives the reflected Sentinel-1D signals using two antennas. During the lifetime of the mission, two different formations will be flown. In the stereo formation, the Harmony satellites will fly approximately 300 km in front and behind Sentinel-1, which allows for the estimation of instantaneous sea-ice drift vectors. We demonstrate that the addition of instantaneous sea-ice drift estimates on top of the daily integrated values from feature tracking have benefits in terms of interpretation, sampling and resolution. The wideswath instantaneous drift observations of Harmony also help to put high-temporal-resolution instantaneous buoy observations into a spatial context. Additionally, it allows for the extraction of deformation parameters, such as shear and divergence. As a result, Harmony's data will help to improve seaice statistics and parametrizations to constrain sea-ice models. In the cross-track interferometry (XTI) mode, Harmony's satellites will fly in close formation with an XTI baseline to be able to estimate surface elevations. This will allow for improved estimates of sea-ice volume and also enables the retrieval of full, two-dimensional swell-wave spectra in seaice-covered regions without any gaps. In stereo formation, the line-of-sight diversity allows the inference of swell properties in both directions using traditional velocity bunching approaches. In XTI mode, Harmony's phase differences are only sensitive to the ground-range direction swell. To fully recover two-dimensional swell-wave spectra, a synergy between XTI height spectra and intensity spectra is required. If selected, the Harmony mission will be launched in ... |
author2 |
Delft University of Technology (TU Delft) Nansen Environmental and Remote Sensing Center Bergen (NERSC) University College of London London (UCL) Environment and Climate Change Canada (ECCC) 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) |
format |
Article in Journal/Newspaper |
author |
Kleinherenbrink, Marcel Korosov, Anton Newman, Thomas Theodosiou, Andreas Komarov, Alexander, S Li, Yuanhao Mulder, Gert Rampal, Pierre Stroeve, Julienne Lopez-Dekker, Paco |
author_facet |
Kleinherenbrink, Marcel Korosov, Anton Newman, Thomas Theodosiou, Andreas Komarov, Alexander, S Li, Yuanhao Mulder, Gert Rampal, Pierre Stroeve, Julienne Lopez-Dekker, Paco |
author_sort |
Kleinherenbrink, Marcel |
title |
Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony |
title_short |
Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony |
title_full |
Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony |
title_fullStr |
Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony |
title_full_unstemmed |
Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony |
title_sort |
estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of earth explorer 10 candidate harmony |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.science/hal-03796527 https://hal.science/hal-03796527/document https://hal.science/hal-03796527/file/Kleinherenbrink2021_The%20Cryosphere.pdf https://doi.org/10.5194/tc-15-3101-2021 |
genre |
Sea ice The Cryosphere |
genre_facet |
Sea ice The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03796527 The Cryosphere, 2021, 15 (7), pp.3101 - 3118. ⟨10.5194/tc-15-3101-2021⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-15-3101-2021 hal-03796527 https://hal.science/hal-03796527 https://hal.science/hal-03796527/document https://hal.science/hal-03796527/file/Kleinherenbrink2021_The%20Cryosphere.pdf doi:10.5194/tc-15-3101-2021 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-15-3101-2021 |
container_title |
The Cryosphere |
container_volume |
15 |
container_issue |
7 |
container_start_page |
3101 |
op_container_end_page |
3118 |
_version_ |
1797569071165734912 |
spelling |
ftunigrenoble:oai:HAL:hal-03796527v1 2024-04-28T08:37:45+00:00 Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony Kleinherenbrink, Marcel Korosov, Anton Newman, Thomas Theodosiou, Andreas Komarov, Alexander, S Li, Yuanhao Mulder, Gert Rampal, Pierre Stroeve, Julienne Lopez-Dekker, Paco Delft University of Technology (TU Delft) Nansen Environmental and Remote Sensing Center Bergen (NERSC) University College of London London (UCL) Environment and Climate Change Canada (ECCC) 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) 2021 https://hal.science/hal-03796527 https://hal.science/hal-03796527/document https://hal.science/hal-03796527/file/Kleinherenbrink2021_The%20Cryosphere.pdf https://doi.org/10.5194/tc-15-3101-2021 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-15-3101-2021 hal-03796527 https://hal.science/hal-03796527 https://hal.science/hal-03796527/document https://hal.science/hal-03796527/file/Kleinherenbrink2021_The%20Cryosphere.pdf doi:10.5194/tc-15-3101-2021 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03796527 The Cryosphere, 2021, 15 (7), pp.3101 - 3118. ⟨10.5194/tc-15-3101-2021⟩ [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDE.IE]Environmental Sciences/Environmental Engineering info:eu-repo/semantics/article Journal articles 2021 ftunigrenoble https://doi.org/10.5194/tc-15-3101-2021 2024-04-18T03:01:39Z International audience This article describes the observation techniques and suggests processing methods to estimate dynamical seaice parameters from data of the Earth Explorer 10 candidate Harmony. The two Harmony satellites will fly in a reconfigurable formation with Sentinel-1D. Both will be equipped with a multi-angle thermal infrared sensor and a passive radar receiver, which receives the reflected Sentinel-1D signals using two antennas. During the lifetime of the mission, two different formations will be flown. In the stereo formation, the Harmony satellites will fly approximately 300 km in front and behind Sentinel-1, which allows for the estimation of instantaneous sea-ice drift vectors. We demonstrate that the addition of instantaneous sea-ice drift estimates on top of the daily integrated values from feature tracking have benefits in terms of interpretation, sampling and resolution. The wideswath instantaneous drift observations of Harmony also help to put high-temporal-resolution instantaneous buoy observations into a spatial context. Additionally, it allows for the extraction of deformation parameters, such as shear and divergence. As a result, Harmony's data will help to improve seaice statistics and parametrizations to constrain sea-ice models. In the cross-track interferometry (XTI) mode, Harmony's satellites will fly in close formation with an XTI baseline to be able to estimate surface elevations. This will allow for improved estimates of sea-ice volume and also enables the retrieval of full, two-dimensional swell-wave spectra in seaice-covered regions without any gaps. In stereo formation, the line-of-sight diversity allows the inference of swell properties in both directions using traditional velocity bunching approaches. In XTI mode, Harmony's phase differences are only sensitive to the ground-range direction swell. To fully recover two-dimensional swell-wave spectra, a synergy between XTI height spectra and intensity spectra is required. If selected, the Harmony mission will be launched in ... Article in Journal/Newspaper Sea ice The Cryosphere Université Grenoble Alpes: HAL The Cryosphere 15 7 3101 3118 |