Ice Concentration Retrieval from the Analysis of Microwaves: A New Methodology Designed for the Copernicus Imaging Microwave Radiometer
International audience Over the last 25 years, the Arctic sea ice has seen its extent decline dramatically. Passive microwave observations, with their ability to penetrate clouds and their independency to sunlight, have been used to provide sea ice concentration (SIC) measurements since the 1970s. T...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , , |
Other Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2020
|
Subjects: | |
Online Access: | https://hal.sorbonne-universite.fr/hal-02872345 https://hal.sorbonne-universite.fr/hal-02872345/document https://hal.sorbonne-universite.fr/hal-02872345/file/remotesensing-12-01060-v2.pdf https://doi.org/10.3390/rs12071060 |
id |
ftccsdartic:oai:HAL:hal-02872345v1 |
---|---|
record_format |
openpolar |
spelling |
ftccsdartic:oai:HAL:hal-02872345v1 2023-05-15T15:12:20+02:00 Ice Concentration Retrieval from the Analysis of Microwaves: A New Methodology Designed for the Copernicus Imaging Microwave Radiometer Kilic, Lise Prigent, Catherine Aires, Filipe Heygster, Georg Pellet, Victor Jiménez, Carlos Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)) Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Cergy Pontoise (UCP) Université Paris-Seine-Université Paris-Seine-Observatoire de Paris Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) Geophysical Remote Sensing Lab (GEORG-Lab) Observatoire de Paris Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY) 2020-04 https://hal.sorbonne-universite.fr/hal-02872345 https://hal.sorbonne-universite.fr/hal-02872345/document https://hal.sorbonne-universite.fr/hal-02872345/file/remotesensing-12-01060-v2.pdf https://doi.org/10.3390/rs12071060 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12071060 hal-02872345 https://hal.sorbonne-universite.fr/hal-02872345 https://hal.sorbonne-universite.fr/hal-02872345/document https://hal.sorbonne-universite.fr/hal-02872345/file/remotesensing-12-01060-v2.pdf doi:10.3390/rs12071060 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2072-4292 Remote Sensing https://hal.sorbonne-universite.fr/hal-02872345 Remote Sensing, MDPI, 2020, 12 (7), pp.1060. ⟨10.3390/rs12071060⟩ sea ice concentration passive microwaves inversion optimal estimation Copernicus Imaging Microwave Radiometer [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] info:eu-repo/semantics/article Journal articles 2020 ftccsdartic https://doi.org/10.3390/rs12071060 2021-12-05T01:13:39Z International audience Over the last 25 years, the Arctic sea ice has seen its extent decline dramatically. Passive microwave observations, with their ability to penetrate clouds and their independency to sunlight, have been used to provide sea ice concentration (SIC) measurements since the 1970s. The Copernicus Imaging Microwave Radiometer (CIMR) is a high priority candidate mission within the European Copernicus Expansion program, with a special focus on the observation of the polar regions. It will observe at 6.9 and 10.65 GHz with 15 km spatial resolution, and at 18.7 and 36.5 GHz with 5 km spatial resolution. SIC algorithms are based on empirical methods, using the difference in radiometric signatures between the ocean and sea ice. Up to now, the existing algorithms have been limited in the number of channels they use. In this study, we proposed a new SIC algorithm called Ice Concentration REtrieval from the Analysis of Microwaves (IceCREAM). It can accommodate a large range of channels, and it is based on the optimal estimation. Linear relationships between the satellite measurements and the SIC are derived from the Round Robin Data Package of the sea ice Climate Change Initiative. The 6 and 10 GHz channels are very sensitive to the sea ice presence, whereas the 18 and 36 GHz channels have a better spatial resolution. A data fusion method is proposed to combine these two estimations. Therefore, IceCREAM will provide SIC estimates with the good accuracy of the 6+10GHz combination, and the high spatial resolution of the 18+36GHz combination. Article in Journal/Newspaper Arctic Climate change Sea ice Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Arctic Remote Sensing 12 7 1060 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
sea ice concentration passive microwaves inversion optimal estimation Copernicus Imaging Microwave Radiometer [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] |
spellingShingle |
sea ice concentration passive microwaves inversion optimal estimation Copernicus Imaging Microwave Radiometer [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] Kilic, Lise Prigent, Catherine Aires, Filipe Heygster, Georg Pellet, Victor Jiménez, Carlos Ice Concentration Retrieval from the Analysis of Microwaves: A New Methodology Designed for the Copernicus Imaging Microwave Radiometer |
topic_facet |
sea ice concentration passive microwaves inversion optimal estimation Copernicus Imaging Microwave Radiometer [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] |
description |
International audience Over the last 25 years, the Arctic sea ice has seen its extent decline dramatically. Passive microwave observations, with their ability to penetrate clouds and their independency to sunlight, have been used to provide sea ice concentration (SIC) measurements since the 1970s. The Copernicus Imaging Microwave Radiometer (CIMR) is a high priority candidate mission within the European Copernicus Expansion program, with a special focus on the observation of the polar regions. It will observe at 6.9 and 10.65 GHz with 15 km spatial resolution, and at 18.7 and 36.5 GHz with 5 km spatial resolution. SIC algorithms are based on empirical methods, using the difference in radiometric signatures between the ocean and sea ice. Up to now, the existing algorithms have been limited in the number of channels they use. In this study, we proposed a new SIC algorithm called Ice Concentration REtrieval from the Analysis of Microwaves (IceCREAM). It can accommodate a large range of channels, and it is based on the optimal estimation. Linear relationships between the satellite measurements and the SIC are derived from the Round Robin Data Package of the sea ice Climate Change Initiative. The 6 and 10 GHz channels are very sensitive to the sea ice presence, whereas the 18 and 36 GHz channels have a better spatial resolution. A data fusion method is proposed to combine these two estimations. Therefore, IceCREAM will provide SIC estimates with the good accuracy of the 6+10GHz combination, and the high spatial resolution of the 18+36GHz combination. |
author2 |
Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)) Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Cergy Pontoise (UCP) Université Paris-Seine-Université Paris-Seine-Observatoire de Paris Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) Geophysical Remote Sensing Lab (GEORG-Lab) Observatoire de Paris Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY) |
format |
Article in Journal/Newspaper |
author |
Kilic, Lise Prigent, Catherine Aires, Filipe Heygster, Georg Pellet, Victor Jiménez, Carlos |
author_facet |
Kilic, Lise Prigent, Catherine Aires, Filipe Heygster, Georg Pellet, Victor Jiménez, Carlos |
author_sort |
Kilic, Lise |
title |
Ice Concentration Retrieval from the Analysis of Microwaves: A New Methodology Designed for the Copernicus Imaging Microwave Radiometer |
title_short |
Ice Concentration Retrieval from the Analysis of Microwaves: A New Methodology Designed for the Copernicus Imaging Microwave Radiometer |
title_full |
Ice Concentration Retrieval from the Analysis of Microwaves: A New Methodology Designed for the Copernicus Imaging Microwave Radiometer |
title_fullStr |
Ice Concentration Retrieval from the Analysis of Microwaves: A New Methodology Designed for the Copernicus Imaging Microwave Radiometer |
title_full_unstemmed |
Ice Concentration Retrieval from the Analysis of Microwaves: A New Methodology Designed for the Copernicus Imaging Microwave Radiometer |
title_sort |
ice concentration retrieval from the analysis of microwaves: a new methodology designed for the copernicus imaging microwave radiometer |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.sorbonne-universite.fr/hal-02872345 https://hal.sorbonne-universite.fr/hal-02872345/document https://hal.sorbonne-universite.fr/hal-02872345/file/remotesensing-12-01060-v2.pdf https://doi.org/10.3390/rs12071060 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Sea ice |
genre_facet |
Arctic Climate change Sea ice |
op_source |
ISSN: 2072-4292 Remote Sensing https://hal.sorbonne-universite.fr/hal-02872345 Remote Sensing, MDPI, 2020, 12 (7), pp.1060. ⟨10.3390/rs12071060⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12071060 hal-02872345 https://hal.sorbonne-universite.fr/hal-02872345 https://hal.sorbonne-universite.fr/hal-02872345/document https://hal.sorbonne-universite.fr/hal-02872345/file/remotesensing-12-01060-v2.pdf doi:10.3390/rs12071060 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3390/rs12071060 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
7 |
container_start_page |
1060 |
_version_ |
1766343030448586752 |