New insights into SMOS sea surface salinity retrievals in the Arctic Ocean
International audience Since 2010, the Soil Moisture and Ocean Salinity (SMOS) satellite mission monitors the earth emission at L-Band. It provides the longest time series of Sea Surface Salinity (SSS) from space over the global ocean. However, the SSS retrieval at high latitudes is a challenge beca...
Published in: | Remote Sensing of Environment |
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Main Authors: | , , , , , , |
Other Authors: | , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2020
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Subjects: | |
Online Access: | https://hal.sorbonne-universite.fr/hal-02959141 https://hal.sorbonne-universite.fr/hal-02959141/document https://hal.sorbonne-universite.fr/hal-02959141/file/Supply%20et%20al.%20-%202020%20-%20New%20insights%20into%20SMOS%20sea%20surface%20salinity%20retrie.pdf https://doi.org/10.1016/j.rse.2020.112027 |
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ftuniversailles:oai:HAL:hal-02959141v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ |
op_collection_id |
ftuniversailles |
language |
English |
topic |
SMOS Sea surface salinity Arctic Ocean [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDE.IE]Environmental Sciences/Environmental Engineering |
spellingShingle |
SMOS Sea surface salinity Arctic Ocean [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDE.IE]Environmental Sciences/Environmental Engineering Supply, Alexandre Boutin, Jacqueline Vergely, Jean-Luc Kolodziejczyk, Nicolas, N. Reverdin, Gilles Reul, Nicolas Tarasenko, Anastasiia New insights into SMOS sea surface salinity retrievals in the Arctic Ocean |
topic_facet |
SMOS Sea surface salinity Arctic Ocean [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDE.IE]Environmental Sciences/Environmental Engineering |
description |
International audience Since 2010, the Soil Moisture and Ocean Salinity (SMOS) satellite mission monitors the earth emission at L-Band. It provides the longest time series of Sea Surface Salinity (SSS) from space over the global ocean. However, the SSS retrieval at high latitudes is a challenge because of the low sensitivity L-Band radiometric measurements to SSS in cold waters and to the contamination of SMOS measurements by the vicinity of continents, of sea ice and of Radio Frequency Interferences. In this paper, we assess the quality of weekly SSS fields derived from swath-ordered instantaneous SMOS SSS (so called Level 2) distributed by the European Space Agency. These products are filtered according to new criteria. We use the pseudo-dielectric constant retrieved from SMOS brightness temperatures to filter SSS pixels polluted by sea ice. We identify that the dielectric constant model and the sea surface temperature auxiliary parameter used as prior information in the SMOS SSS retrieval induce significant systematic errors at low temperatures. We propose a novel empirical correction to mitigate those sources of errors at high latitudes.Comparisons with in-situ measurements ranging from 1 to 11 m depths spotlight huge vertical stratification in fresh regions. This emphasizes the need to consider in-situ salinity as close as possible to the sea surface when validating L-band radiometric SSS which are representative of the first top centimeter.SSS Standard deviation of differences (STDD) between weekly SMOS SSS and in-situ near surface salinity significantly decrease after applying the SSS correction, from 1.46 pss to 1.28 pss. The correlation between new SMOS SSS and in-situ near surface salinity reaches 0.94. SMOS estimates better capture SSS variability in the Arctic Ocean in comparison to TOPAZ reanalysis (STDD between TOPAZ and in-situ SSS = 1.86 pss), particularly in river plumes with very large SSS spatial gradients. |
author2 |
Processus et interactions de fine échelle océanique (PROTEO) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) Analytic and Computational Research, Inc. - Earth Sciences (ACRI-ST) Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) Arctic and Antarctic Research Institute (AARI) Russian Federal Service for Hydrometeorology and Environmental Monitoring (Roshydromet) CNES-TOSCA ‘SMOS-Ocean’ |
format |
Article in Journal/Newspaper |
author |
Supply, Alexandre Boutin, Jacqueline Vergely, Jean-Luc Kolodziejczyk, Nicolas, N. Reverdin, Gilles Reul, Nicolas Tarasenko, Anastasiia |
author_facet |
Supply, Alexandre Boutin, Jacqueline Vergely, Jean-Luc Kolodziejczyk, Nicolas, N. Reverdin, Gilles Reul, Nicolas Tarasenko, Anastasiia |
author_sort |
Supply, Alexandre |
title |
New insights into SMOS sea surface salinity retrievals in the Arctic Ocean |
title_short |
New insights into SMOS sea surface salinity retrievals in the Arctic Ocean |
title_full |
New insights into SMOS sea surface salinity retrievals in the Arctic Ocean |
title_fullStr |
New insights into SMOS sea surface salinity retrievals in the Arctic Ocean |
title_full_unstemmed |
New insights into SMOS sea surface salinity retrievals in the Arctic Ocean |
title_sort |
new insights into smos sea surface salinity retrievals in the arctic ocean |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.sorbonne-universite.fr/hal-02959141 https://hal.sorbonne-universite.fr/hal-02959141/document https://hal.sorbonne-universite.fr/hal-02959141/file/Supply%20et%20al.%20-%202020%20-%20New%20insights%20into%20SMOS%20sea%20surface%20salinity%20retrie.pdf https://doi.org/10.1016/j.rse.2020.112027 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Sea ice |
genre_facet |
Arctic Arctic Ocean Sea ice |
op_source |
ISSN: 0034-4257 EISSN: 1879-0704 Remote Sensing of Environment https://hal.sorbonne-universite.fr/hal-02959141 Remote Sensing of Environment, 2020, 249, pp.112027. ⟨10.1016/j.rse.2020.112027⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2020.112027 hal-02959141 https://hal.sorbonne-universite.fr/hal-02959141 https://hal.sorbonne-universite.fr/hal-02959141/document https://hal.sorbonne-universite.fr/hal-02959141/file/Supply%20et%20al.%20-%202020%20-%20New%20insights%20into%20SMOS%20sea%20surface%20salinity%20retrie.pdf doi:10.1016/j.rse.2020.112027 WOS: 000571215100003 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1016/j.rse.2020.112027 |
container_title |
Remote Sensing of Environment |
container_volume |
249 |
container_start_page |
112027 |
_version_ |
1796304534926000128 |
spelling |
ftuniversailles:oai:HAL:hal-02959141v1 2024-04-14T08:07:16+00:00 New insights into SMOS sea surface salinity retrievals in the Arctic Ocean Supply, Alexandre Boutin, Jacqueline Vergely, Jean-Luc Kolodziejczyk, Nicolas, N. Reverdin, Gilles Reul, Nicolas Tarasenko, Anastasiia Processus et interactions de fine échelle océanique (PROTEO) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) Analytic and Computational Research, Inc. - Earth Sciences (ACRI-ST) Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) Arctic and Antarctic Research Institute (AARI) Russian Federal Service for Hydrometeorology and Environmental Monitoring (Roshydromet) CNES-TOSCA ‘SMOS-Ocean’ 2020 https://hal.sorbonne-universite.fr/hal-02959141 https://hal.sorbonne-universite.fr/hal-02959141/document https://hal.sorbonne-universite.fr/hal-02959141/file/Supply%20et%20al.%20-%202020%20-%20New%20insights%20into%20SMOS%20sea%20surface%20salinity%20retrie.pdf https://doi.org/10.1016/j.rse.2020.112027 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2020.112027 hal-02959141 https://hal.sorbonne-universite.fr/hal-02959141 https://hal.sorbonne-universite.fr/hal-02959141/document https://hal.sorbonne-universite.fr/hal-02959141/file/Supply%20et%20al.%20-%202020%20-%20New%20insights%20into%20SMOS%20sea%20surface%20salinity%20retrie.pdf doi:10.1016/j.rse.2020.112027 WOS: 000571215100003 info:eu-repo/semantics/OpenAccess ISSN: 0034-4257 EISSN: 1879-0704 Remote Sensing of Environment https://hal.sorbonne-universite.fr/hal-02959141 Remote Sensing of Environment, 2020, 249, pp.112027. ⟨10.1016/j.rse.2020.112027⟩ SMOS Sea surface salinity Arctic Ocean [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography [SDE.IE]Environmental Sciences/Environmental Engineering info:eu-repo/semantics/article Journal articles 2020 ftuniversailles https://doi.org/10.1016/j.rse.2020.112027 2024-03-21T16:14:47Z International audience Since 2010, the Soil Moisture and Ocean Salinity (SMOS) satellite mission monitors the earth emission at L-Band. It provides the longest time series of Sea Surface Salinity (SSS) from space over the global ocean. However, the SSS retrieval at high latitudes is a challenge because of the low sensitivity L-Band radiometric measurements to SSS in cold waters and to the contamination of SMOS measurements by the vicinity of continents, of sea ice and of Radio Frequency Interferences. In this paper, we assess the quality of weekly SSS fields derived from swath-ordered instantaneous SMOS SSS (so called Level 2) distributed by the European Space Agency. These products are filtered according to new criteria. We use the pseudo-dielectric constant retrieved from SMOS brightness temperatures to filter SSS pixels polluted by sea ice. We identify that the dielectric constant model and the sea surface temperature auxiliary parameter used as prior information in the SMOS SSS retrieval induce significant systematic errors at low temperatures. We propose a novel empirical correction to mitigate those sources of errors at high latitudes.Comparisons with in-situ measurements ranging from 1 to 11 m depths spotlight huge vertical stratification in fresh regions. This emphasizes the need to consider in-situ salinity as close as possible to the sea surface when validating L-band radiometric SSS which are representative of the first top centimeter.SSS Standard deviation of differences (STDD) between weekly SMOS SSS and in-situ near surface salinity significantly decrease after applying the SSS correction, from 1.46 pss to 1.28 pss. The correlation between new SMOS SSS and in-situ near surface salinity reaches 0.94. SMOS estimates better capture SSS variability in the Arctic Ocean in comparison to TOPAZ reanalysis (STDD between TOPAZ and in-situ SSS = 1.86 pss), particularly in river plumes with very large SSS spatial gradients. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ Arctic Arctic Ocean Remote Sensing of Environment 249 112027 |