Articles | Volume 20, issue 1
https://doi.org/10.5194/os-20-279-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-20-279-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Feb 2024
Research article |
| 28 Feb 2024
| 28 Feb 2024
Contribution of satellite sea surface salinity to the estimation of liquid freshwater content in the Beaufort Sea
Marta Umbert
CORRESPONDING AUTHOR
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Eva De Andrés
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Department of Applied Mathematics, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Maria Sánchez
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Carolina Gabarró
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Nina Hoareau
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Veronica González-Gambau
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Aina García-Espriu
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Estrella Olmedo
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Roshin P. Raj
Nansen Environmental and Remote Sensing Center (NERSC) and Bjerknes Center for Climate Research, 5007 Bergen, Norway
Jiping Xie
Nansen Environmental and Remote Sensing Center (NERSC) and Bjerknes Center for Climate Research, 5007 Bergen, Norway
Rafael Catany
ARGANS Ltd., Plymouth Science Park, 1 Davy Road, Plymouth, PL6 8BX, United Kingdom
Albavalor, SL, Calle Catedrático Agustín Escardino, 9, 46980 Paterna, Valencia, Spain
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Earth Syst. Sci. Data, 13, 857–888, https://doi.org/10.5194/essd-13-857-2021, https://doi.org/10.5194/essd-13-857-2021, 2021
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Roshin P. Raj, Sourav Chatterjee, Laurent Bertino, Antonio Turiel, and Marcos Portabella
Ocean Sci., 15, 1729–1744, https://doi.org/10.5194/os-15-1729-2019, https://doi.org/10.5194/os-15-1729-2019, 2019
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Ocean Sci., 15, 1191–1206, https://doi.org/10.5194/os-15-1191-2019, https://doi.org/10.5194/os-15-1191-2019, 2019
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The Cryosphere, 13, 49–78, https://doi.org/10.5194/tc-13-49-2019, https://doi.org/10.5194/tc-13-49-2019, 2019
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Jiping Xie, François Counillon, and Laurent Bertino
The Cryosphere, 12, 3671–3691, https://doi.org/10.5194/tc-12-3671-2018, https://doi.org/10.5194/tc-12-3671-2018, 2018
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The Cryosphere, 12, 2005–2020, https://doi.org/10.5194/tc-12-2005-2018, https://doi.org/10.5194/tc-12-2005-2018, 2018
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Fabrice Ardhuin, Yevgueny Aksenov, Alvise Benetazzo, Laurent Bertino, Peter Brandt, Eric Caubet, Bertrand Chapron, Fabrice Collard, Sophie Cravatte, Jean-Marc Delouis, Frederic Dias, Gérald Dibarboure, Lucile Gaultier, Johnny Johannessen, Anton Korosov, Georgy Manucharyan, Dimitris Menemenlis, Melisa Menendez, Goulven Monnier, Alexis Mouche, Frédéric Nouguier, George Nurser, Pierre Rampal, Ad Reniers, Ernesto Rodriguez, Justin Stopa, Céline Tison, Clément Ubelmann, Erik van Sebille, and Jiping Xie
Ocean Sci., 14, 337–354, https://doi.org/10.5194/os-14-337-2018, https://doi.org/10.5194/os-14-337-2018, 2018
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The Sea surface KInematics Multiscale (SKIM) monitoring mission is a proposal for a future satellite that is designed to measure ocean currents and waves. Using a Doppler radar, the accurate measurement of currents requires the removal of the mean velocity due to ocean wave motions. This paper describes the main processing steps needed to produce currents and wave data from the radar measurements. With this technique, SKIM can provide unprecedented coverage and resolution, over the global ocean.
Carolina Gabarro, Antonio Turiel, Pedro Elosegui, Joaquim A. Pla-Resina, and Marcos Portabella
The Cryosphere, 11, 1987–2002, https://doi.org/10.5194/tc-11-1987-2017, https://doi.org/10.5194/tc-11-1987-2017, 2017
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We present a new method to estimate sea ice concentration in the Arctic Ocean using different brightness temperature observations from the Soil Moisture Ocean Salinity (SMOS) satellite. The method employs a maximum-likelihood estimator. Observations at L-band frequencies such as those from SMOS (i.e. 1.4 GHz) are advantageous to remote sensing of sea ice because the atmosphere is virtually transparent at that frequency and little affected by physical temperature changes.
Jiping Xie, Laurent Bertino, François Counillon, Knut A. Lisæter, and Pavel Sakov
Ocean Sci., 13, 123–144, https://doi.org/10.5194/os-13-123-2017, https://doi.org/10.5194/os-13-123-2017, 2017
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The Arctic Ocean plays an important role in the global climate system, but the concerned interpretation about its changes is severely hampered by the sparseness of the observations of sea ice and ocean. The focus of this study is to provide a quantitative assessment of the performance of the TOPAZ4 reanalysis for ocean and sea ice variables in the pan-Arctic region (north of 63 °N) in order to guide the user through its skills and limitations.
Jiping Xie, François Counillon, Laurent Bertino, Xiangshan Tian-Kunze, and Lars Kaleschke
The Cryosphere, 10, 2745–2761, https://doi.org/10.5194/tc-10-2745-2016, https://doi.org/10.5194/tc-10-2745-2016, 2016
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Short summary
As a potentially operational daily product, the SMOS-Ice can improve the statements of sea ice thickness and concentration. In this study, focusing on the SMOS-Ice data assimilated into the TOPAZ system, the quantitative evaluation for the impacts and the concerned comparison with the present observation system are valuable to understand the further improvement of the accuracy of operational ocean forecasting system.
D. Mignac, C. A. S. Tanajura, A. N. Santana, L. N. Lima, and J. Xie
Ocean Sci., 11, 195–213, https://doi.org/10.5194/os-11-195-2015, https://doi.org/10.5194/os-11-195-2015, 2015
A. Turiel, J. Isern-Fontanet, and M. Umbert
Nonlin. Processes Geophys., 21, 291–301, https://doi.org/10.5194/npg-21-291-2014, https://doi.org/10.5194/npg-21-291-2014, 2014
Related subject area
Approach: Remote Sensing | Properties and processes: Interactions with the atmosphere or cryosphere
The different dynamic influences of Typhoon Kalmaegi on two pre-existing anticyclonic ocean eddies
Yihao He, Xiayan Lin, Guoqing Han, Yu Liu, and Han Zhang
Ocean Sci., 20, 621–637, https://doi.org/10.5194/os-20-621-2024, https://doi.org/10.5194/os-20-621-2024, 2024
Short summary
Short summary
Based on multiple datasets, we investigate the influence of two anticyclonic eddies on upper-ocean responses to Typhoon Kalmaegi in the northern South China Sea. This nuanced response is intricately linked to factors including the relative position of the eddies and the TCs, the eddies' intensity, and the background current. This work will further improve the accuracy of TC forecasts and enhance the simulation capabilities of air–sea coupled models.
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Short summary
Satellite retrievals of sea surface salinity (SSS) offer insights into freshwater changes in the Arctic Ocean. This study evaluates freshwater content in the Beaufort Gyre using SMOS and reanalysis data, revealing underestimation with reanalysis alone. Incorporating satellite SSS measurements improves freshwater content estimation, especially near ice-melting areas. Adding remotely sensed salinity aids in monitoring Arctic freshwater content and in understanding its impact on global climate.
Satellite retrievals of sea surface salinity (SSS) offer insights into freshwater changes in the...
