Copernicus Imaging Microwave Radiometer (CIMR) Benefits for the Copernicus Level 4 Sea-Surface Salinity Processing Chain
International audience We present a study on the potential of the Copernicus Imaging Microwave Radiometer (CIMR) mission for the global monitoring of Sea-Surface Salinity (SSS) using Level-4 (gap-free) analysis processing. Space-based SSS are currently provided by the Soil Moisture and Ocean Salinit...
Published in: | Remote Sensing |
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Language: | English |
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Online Access: | https://hal.sorbonne-universite.fr/hal-02297037 https://hal.sorbonne-universite.fr/hal-02297037/document https://hal.sorbonne-universite.fr/hal-02297037/file/remotesensing-11-01818-v2.pdf https://doi.org/10.3390/rs11151818 |
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ftinsu:oai:HAL:hal-02297037v1 2023-11-05T03:45:01+01:00 Copernicus Imaging Microwave Radiometer (CIMR) Benefits for the Copernicus Level 4 Sea-Surface Salinity Processing Chain Ciani, Daniele Santoleri, Rosalia Liberti, Gian Luigi Prigent, Catherine Donlon, Craig Nardelli, Bruno Buongiorno Istituto di Science Marine (ISMAR ) National Research Council of Italy Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Cergy Pontoise (UCP) Université Paris-Seine-Université Paris-Seine-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Agence Spatiale Européenne = European Space Agency (ESA) 2019 https://hal.sorbonne-universite.fr/hal-02297037 https://hal.sorbonne-universite.fr/hal-02297037/document https://hal.sorbonne-universite.fr/hal-02297037/file/remotesensing-11-01818-v2.pdf https://doi.org/10.3390/rs11151818 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/rs11151818 hal-02297037 https://hal.sorbonne-universite.fr/hal-02297037 https://hal.sorbonne-universite.fr/hal-02297037/document https://hal.sorbonne-universite.fr/hal-02297037/file/remotesensing-11-01818-v2.pdf doi:10.3390/rs11151818 info:eu-repo/semantics/OpenAccess ISSN: 2072-4292 Remote Sensing https://hal.sorbonne-universite.fr/hal-02297037 Remote Sensing, 2019, 11 (15), pp.1818. ⟨10.3390/rs11151818⟩ copernicus marine service CIMR microwave remote sensing sea surface salinity [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography info:eu-repo/semantics/article Journal articles 2019 ftinsu https://doi.org/10.3390/rs11151818 2023-10-11T16:37:14Z International audience We present a study on the potential of the Copernicus Imaging Microwave Radiometer (CIMR) mission for the global monitoring of Sea-Surface Salinity (SSS) using Level-4 (gap-free) analysis processing. Space-based SSS are currently provided by the Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) satellites. However, there are no planned missions to guarantee continuity in the remote SSS measurements for the near future. The CIMR mission is in a preparatory phase with an expected launch in 2026. CIMR is focused on the provision of global coverage, high resolution sea-surface temperature (SST), SSS and sea-ice concentration observations. In this paper, we evaluate the mission impact within the Copernicus Marine Environment Monitoring Service (CMEMS) SSS processing chain. The CMEMS SSS operational products are based on a combination of in situ and satellite (SMOS) SSS and high-resolution SST information through a multivariate optimal interpolation. We demonstrate the potential of CIMR within the CMEMS SSS operational production after the SMOS era. For this purpose, we implemented an Observing System Simulation Experiment (OSSE) based on the CMEMS MERCATOR global operational model. The MERCATOR SSSs were used to generate synthetic in situ and CIMR SSS and, at the same time, they provided a reference gap-free SSS field. Using the optimal interpolation algorithm, we demonstrated that the combined use of in situ and CIMR observations improves the global SSS retrieval compared to a processing where only in situ observations are ingested. The improvements are observed in the 60% and 70% of the global ocean surface for the reconstruction of the SSS and of the SSS spatial gradients, respectively. Moreover, the study highlights the CIMR-based salinity patterns are more accurate both in the open ocean and in coastal areas. We conclude that CIMR can guarantee continuity for accurate monitoring of the ocean surface salinity from space. Article in Journal/Newspaper Sea ice Institut national des sciences de l'Univers: HAL-INSU Remote Sensing 11 15 1818 |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
copernicus marine service CIMR microwave remote sensing sea surface salinity [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
spellingShingle |
copernicus marine service CIMR microwave remote sensing sea surface salinity [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography Ciani, Daniele Santoleri, Rosalia Liberti, Gian Luigi Prigent, Catherine Donlon, Craig Nardelli, Bruno Buongiorno Copernicus Imaging Microwave Radiometer (CIMR) Benefits for the Copernicus Level 4 Sea-Surface Salinity Processing Chain |
topic_facet |
copernicus marine service CIMR microwave remote sensing sea surface salinity [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
description |
International audience We present a study on the potential of the Copernicus Imaging Microwave Radiometer (CIMR) mission for the global monitoring of Sea-Surface Salinity (SSS) using Level-4 (gap-free) analysis processing. Space-based SSS are currently provided by the Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) satellites. However, there are no planned missions to guarantee continuity in the remote SSS measurements for the near future. The CIMR mission is in a preparatory phase with an expected launch in 2026. CIMR is focused on the provision of global coverage, high resolution sea-surface temperature (SST), SSS and sea-ice concentration observations. In this paper, we evaluate the mission impact within the Copernicus Marine Environment Monitoring Service (CMEMS) SSS processing chain. The CMEMS SSS operational products are based on a combination of in situ and satellite (SMOS) SSS and high-resolution SST information through a multivariate optimal interpolation. We demonstrate the potential of CIMR within the CMEMS SSS operational production after the SMOS era. For this purpose, we implemented an Observing System Simulation Experiment (OSSE) based on the CMEMS MERCATOR global operational model. The MERCATOR SSSs were used to generate synthetic in situ and CIMR SSS and, at the same time, they provided a reference gap-free SSS field. Using the optimal interpolation algorithm, we demonstrated that the combined use of in situ and CIMR observations improves the global SSS retrieval compared to a processing where only in situ observations are ingested. The improvements are observed in the 60% and 70% of the global ocean surface for the reconstruction of the SSS and of the SSS spatial gradients, respectively. Moreover, the study highlights the CIMR-based salinity patterns are more accurate both in the open ocean and in coastal areas. We conclude that CIMR can guarantee continuity for accurate monitoring of the ocean surface salinity from space. |
author2 |
Istituto di Science Marine (ISMAR ) National Research Council of Italy Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Cergy Pontoise (UCP) Université Paris-Seine-Université Paris-Seine-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Agence Spatiale Européenne = European Space Agency (ESA) |
format |
Article in Journal/Newspaper |
author |
Ciani, Daniele Santoleri, Rosalia Liberti, Gian Luigi Prigent, Catherine Donlon, Craig Nardelli, Bruno Buongiorno |
author_facet |
Ciani, Daniele Santoleri, Rosalia Liberti, Gian Luigi Prigent, Catherine Donlon, Craig Nardelli, Bruno Buongiorno |
author_sort |
Ciani, Daniele |
title |
Copernicus Imaging Microwave Radiometer (CIMR) Benefits for the Copernicus Level 4 Sea-Surface Salinity Processing Chain |
title_short |
Copernicus Imaging Microwave Radiometer (CIMR) Benefits for the Copernicus Level 4 Sea-Surface Salinity Processing Chain |
title_full |
Copernicus Imaging Microwave Radiometer (CIMR) Benefits for the Copernicus Level 4 Sea-Surface Salinity Processing Chain |
title_fullStr |
Copernicus Imaging Microwave Radiometer (CIMR) Benefits for the Copernicus Level 4 Sea-Surface Salinity Processing Chain |
title_full_unstemmed |
Copernicus Imaging Microwave Radiometer (CIMR) Benefits for the Copernicus Level 4 Sea-Surface Salinity Processing Chain |
title_sort |
copernicus imaging microwave radiometer (cimr) benefits for the copernicus level 4 sea-surface salinity processing chain |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.sorbonne-universite.fr/hal-02297037 https://hal.sorbonne-universite.fr/hal-02297037/document https://hal.sorbonne-universite.fr/hal-02297037/file/remotesensing-11-01818-v2.pdf https://doi.org/10.3390/rs11151818 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
ISSN: 2072-4292 Remote Sensing https://hal.sorbonne-universite.fr/hal-02297037 Remote Sensing, 2019, 11 (15), pp.1818. ⟨10.3390/rs11151818⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs11151818 hal-02297037 https://hal.sorbonne-universite.fr/hal-02297037 https://hal.sorbonne-universite.fr/hal-02297037/document https://hal.sorbonne-universite.fr/hal-02297037/file/remotesensing-11-01818-v2.pdf doi:10.3390/rs11151818 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3390/rs11151818 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
15 |
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1818 |
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