Articles | Volume 14, issue 1
https://doi.org/10.5194/essd-14-307-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-307-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
28 Jan 2022
Data description paper |
| 28 Jan 2022
| 28 Jan 2022
Improved BEC SMOS Arctic Sea Surface Salinity product v3.1
Justino Martínez
Barcelona Expert Center (BEC) and Institute of Marine Sciences (ICM), CSIC,
P. Marítim de la Barceloneta, 37–49, 08003 Barcelona, Spain
Barcelona Expert Center (BEC) and Institute of Marine Sciences (ICM), CSIC,
P. Marítim de la Barceloneta, 37–49, 08003 Barcelona, Spain
Antonio Turiel
Barcelona Expert Center (BEC) and Institute of Marine Sciences (ICM), CSIC,
P. Marítim de la Barceloneta, 37–49, 08003 Barcelona, Spain
Verónica González-Gambau
Barcelona Expert Center (BEC) and Institute of Marine Sciences (ICM), CSIC,
P. Marítim de la Barceloneta, 37–49, 08003 Barcelona, Spain
Marta Umbert
Barcelona Expert Center (BEC) and Institute of Marine Sciences (ICM), CSIC,
P. Marítim de la Barceloneta, 37–49, 08003 Barcelona, Spain
Nina Hoareau
Barcelona Expert Center (BEC) and Institute of Marine Sciences (ICM), CSIC,
P. Marítim de la Barceloneta, 37–49, 08003 Barcelona, Spain
Cristina González-Haro
Barcelona Expert Center (BEC) and Institute of Marine Sciences (ICM), CSIC,
P. Marítim de la Barceloneta, 37–49, 08003 Barcelona, Spain
Estrella Olmedo
Barcelona Expert Center (BEC) and Institute of Marine Sciences (ICM), CSIC,
P. Marítim de la Barceloneta, 37–49, 08003 Barcelona, Spain
Manuel Arias
Barcelona Expert Center (BEC) and Institute of Marine Sciences (ICM), CSIC,
P. Marítim de la Barceloneta, 37–49, 08003 Barcelona, Spain
ARGANS, Derriford, PL6 8BX Plymouth, UK
Rafael Catany
ARGANS, Derriford, PL6 8BX Plymouth, UK
Laurent Bertino
Nansen Environmental and Remote Sensing Center – NERSC, Jahnebakken 3, 5007 Bergen, Norway
Roshin P. Raj
Nansen Environmental and Remote Sensing Center – NERSC, Jahnebakken 3, 5007 Bergen, Norway
Jiping Xie
Nansen Environmental and Remote Sensing Center – NERSC, Jahnebakken 3, 5007 Bergen, Norway
Roberto Sabia
Telespazio-Vega UK Ltd., for ESA-ESRIN, Largo
Galileo Galilei 1, 00044 Frascati, Italy
Diego Fernández
ESA-ESRIN, Largo
Galileo Galilei 1, 00044 Frascati, Italy
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Cited
18 citations as recorded by crossref.
- Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis J. Xie et al. 10.5194/os-19-269-2023
- Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach M. Umbert et al. 10.3390/rs15071722
- The Contribution of the Vendée Globe Race to Improved Ocean Surface Information: A Validation of the Remotely Sensed Salinity in the Sub-Antarctic Zone M. Umbert et al. 10.3390/jmse10081078
- Coastal Summer Freshening and Meltwater Input off West Greenland from Satellite Observations R. Castelao & P. Medeiros 10.3390/rs14236069
- Three-Dimensional Thermohaline Reconstruction Driven by Satellite Sea Surface Data Based on Sea Ice Seasonal Variation in the Arctic Ocean X. Wu et al. 10.3390/rs16214072
- The Role of the Russian Shelf in Seasonal and Interannual Variability of Arctic Sea Surface Salinity and Freshwater Content S. Hall et al. 10.1029/2022JC019247
- Comparison of Freshwater Content and Variability in the Arctic Ocean Using Observations and Model Simulations E. Hoffman et al. 10.3390/rs15153715
- Improved sea surface salinity data for the Arctic Ocean derived from SMAP satellite data using machine learning approaches A. Savin et al. 10.3389/fmars.2024.1358882
- Salinity Inversion of Flat Sea Surface Based on Deep Neural Network Z. Wen et al. 10.34133/space.0080
- Reconstruction of High-Resolution Sea Surface Salinity over 2003–2020 in the South China Sea Using the Machine Learning Algorithm LightGBM Model Z. Wang et al. 10.3390/rs14236147
- Meltwater Lenses Over the Chukchi and the Beaufort Seas During Summer 2019: From In Situ to Synoptic View A. Supply et al. 10.1029/2021JC018388
- Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps C. Gabarró et al. 10.3389/frsen.2023.952091
- Arctic and Sub‐Arctic Mechanisms Explaining Observed Increasing Northward Flow Through the Bering Strait and Why Models May Be Getting It Wrong C. Peralta‐Ferriz & R. Woodgate 10.1029/2023GL104697
- Contribution of satellite sea surface salinity to the estimation of liquid freshwater content in the Beaufort Sea M. Umbert et al. 10.5194/os-20-279-2024
- Drivers of Laptev Sea interannual variability in salinity and temperature P. Hudson et al. 10.5194/os-20-341-2024
- SMOS v724 Third Mission Reprocessing: Brightness Temperature Quality and Stability R. Diez-Garcia et al. 10.1109/TGRS.2022.3206118
- Using satellite observations of ocean variables to improve estimates of water mass (trans)formation A. Piracha et al. 10.3389/fmars.2023.1020153
- Can the Surface Quasi‐Geostrophic (SQG) Theory Explain Upper Ocean Dynamics in the South Atlantic? M. Miracca‐Lage et al. 10.1029/2021JC018001
17 citations as recorded by crossref.
- Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis J. Xie et al. 10.5194/os-19-269-2023
- Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach M. Umbert et al. 10.3390/rs15071722
- The Contribution of the Vendée Globe Race to Improved Ocean Surface Information: A Validation of the Remotely Sensed Salinity in the Sub-Antarctic Zone M. Umbert et al. 10.3390/jmse10081078
- Coastal Summer Freshening and Meltwater Input off West Greenland from Satellite Observations R. Castelao & P. Medeiros 10.3390/rs14236069
- Three-Dimensional Thermohaline Reconstruction Driven by Satellite Sea Surface Data Based on Sea Ice Seasonal Variation in the Arctic Ocean X. Wu et al. 10.3390/rs16214072
- The Role of the Russian Shelf in Seasonal and Interannual Variability of Arctic Sea Surface Salinity and Freshwater Content S. Hall et al. 10.1029/2022JC019247
- Comparison of Freshwater Content and Variability in the Arctic Ocean Using Observations and Model Simulations E. Hoffman et al. 10.3390/rs15153715
- Improved sea surface salinity data for the Arctic Ocean derived from SMAP satellite data using machine learning approaches A. Savin et al. 10.3389/fmars.2024.1358882
- Salinity Inversion of Flat Sea Surface Based on Deep Neural Network Z. Wen et al. 10.34133/space.0080
- Reconstruction of High-Resolution Sea Surface Salinity over 2003–2020 in the South China Sea Using the Machine Learning Algorithm LightGBM Model Z. Wang et al. 10.3390/rs14236147
- Meltwater Lenses Over the Chukchi and the Beaufort Seas During Summer 2019: From In Situ to Synoptic View A. Supply et al. 10.1029/2021JC018388
- Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps C. Gabarró et al. 10.3389/frsen.2023.952091
- Arctic and Sub‐Arctic Mechanisms Explaining Observed Increasing Northward Flow Through the Bering Strait and Why Models May Be Getting It Wrong C. Peralta‐Ferriz & R. Woodgate 10.1029/2023GL104697
- Contribution of satellite sea surface salinity to the estimation of liquid freshwater content in the Beaufort Sea M. Umbert et al. 10.5194/os-20-279-2024
- Drivers of Laptev Sea interannual variability in salinity and temperature P. Hudson et al. 10.5194/os-20-341-2024
- SMOS v724 Third Mission Reprocessing: Brightness Temperature Quality and Stability R. Diez-Garcia et al. 10.1109/TGRS.2022.3206118
- Using satellite observations of ocean variables to improve estimates of water mass (trans)formation A. Piracha et al. 10.3389/fmars.2023.1020153
1 citations as recorded by crossref.
Latest update: 15 Nov 2024
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Short summary
Measuring salinity from space is challenging since the sensitivity of the brightness temperature to sea surface salinity is low, but the retrieval of SSS in cold waters is even more challenging. In 2019, the ESA launched a specific initiative called Arctic+Salinity to produce an enhanced Arctic SSS product with better quality and resolution than the available products. This paper presents the methodologies used to produce the new enhanced Arctic SMOS SSS product.
Measuring salinity from space is challenging since the sensitivity of the brightness temperature...
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