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...

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Published in:Remote Sensing
Main Authors: Ciani, Daniele, Santoleri, Rosalia, Liberti, Gian Luigi, Prigent, Catherine, Donlon, Craig, Nardelli, Bruno Buongiorno
Other Authors: Istituto di Science Marine (ISMAR ), Consiglio Nazionale delle Ricerche (CNR), 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
Language:English
Published: HAL CCSD 2019
Subjects:
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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spelling ftunivparis:oai:HAL:hal-02297037v1 2023-06-11T04:16:38+02:00 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 ) Consiglio Nazionale delle Ricerche (CNR) 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 ftunivparis https://doi.org/10.3390/rs11151818 2023-05-03T16:25:49Z 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 Université de Paris: Portail HAL Remote Sensing 11 15 1818
institution Open Polar
collection Université de Paris: Portail HAL
op_collection_id ftunivparis
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 )
Consiglio Nazionale delle Ricerche (CNR)
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
container_start_page 1818
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