Advanced search
Publication Cover
International Journal of Remote Sensing Volume 34, 2013 - Issue 9-10: Third International Symposium on Recent Advances in Quantitative Remote Sensing
Submit an article Journal homepage
910
Views
69
CrossRef citations to date
0
Altmetric
Original Articles

SMOS first data analysis for sea surface salinity determination

Jordi Font SMOS Barcelona Expert Centre (SMOS-BEC), Institut de Ciències del Mar (ICM) and Unitat de Tecnologia Marina (UTM), CSIC, 08003, Barcelona, SpainCorrespondence[email protected]
,
Jacqueline Boutin Institut Pierre Simon Laplace (IPSL), LOCEAN/LATMOS, 75252, Paris, France
,
Nicolas Reul Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), 29280, Plouzané, France
,
Paul Spurgeon ARGANS Ltd, Tamar Science Park, Plymouth, PL6 8BT, UK
,
Joaquim Ballabrera-Poy SMOS Barcelona Expert Centre (SMOS-BEC), Institut de Ciències del Mar (ICM) and Unitat de Tecnologia Marina (UTM), CSIC, 08003, Barcelona, Spain
,
Andrei Chuprin ARGANS Ltd, Tamar Science Park, Plymouth, PL6 8BT, UK
,
Carolina Gabarró SMOS Barcelona Expert Centre (SMOS-BEC), Institut de Ciències del Mar (ICM) and Unitat de Tecnologia Marina (UTM), CSIC, 08003, Barcelona, Spain
,
Jérôme Gourrion SMOS Barcelona Expert Centre (SMOS-BEC), Institut de Ciències del Mar (ICM) and Unitat de Tecnologia Marina (UTM), CSIC, 08003, Barcelona, Spain
,
Sébastien Guimbard SMOS Barcelona Expert Centre (SMOS-BEC), Institut de Ciències del Mar (ICM) and Unitat de Tecnologia Marina (UTM), CSIC, 08003, Barcelona, Spain
,
Claire Hénocq ACRI-ST, 06904, Sophia Antipolis, France
,
Samantha Lavender ARGANS Ltd, Tamar Science Park, Plymouth, PL6 8BT, UK
,
Nicolas Martin Institut Pierre Simon Laplace (IPSL), LOCEAN/LATMOS, 75252, Paris, France
,
Justino Martínez SMOS Barcelona Expert Centre (SMOS-BEC), Institut de Ciències del Mar (ICM) and Unitat de Tecnologia Marina (UTM), CSIC, 08003, Barcelona, Spain
,
Michael McCulloch ARGANS Ltd, Tamar Science Park, Plymouth, PL6 8BT, UK
,
Ingo Meirold-Mautner ACRI-ST, 06904, Sophia Antipolis, France
,
César Mugerin ACRI-ST, 06904, Sophia Antipolis, France
,
François Petitcolin ACRI-ST, 06904, Sophia Antipolis, France
,
Marcos Portabella SMOS Barcelona Expert Centre (SMOS-BEC), Institut de Ciències del Mar (ICM) and Unitat de Tecnologia Marina (UTM), CSIC, 08003, Barcelona, Spain
,
Roberto Sabia ESRIN, European Space Agency, 00044, Frascati, Italy
,
Marco Talone Serco SpA, 00044, Frascati, Italy
,
Joseph Tenerelli Collecte Localisation Satellites (CLS), 29280, Plouzané, France
,
Antonio Turiel SMOS Barcelona Expert Centre (SMOS-BEC), Institut de Ciències del Mar (ICM) and Unitat de Tecnologia Marina (UTM), CSIC, 08003, Barcelona, Spain
,
Jean-Luc Vergely ACRI-ST, 06904, Sophia Antipolis, France
,
Philippe Waldteufel Institut Pierre Simon Laplace (IPSL), LOCEAN/LATMOS, 75252, Paris, France
,
Xiaobin Yin Institut Pierre Simon Laplace (IPSL), LOCEAN/LATMOS, 75252, Paris, France
,
Sonia Zine Université Joseph Fourier, 38041, Grenoble, France
&
Steven Delwart ESRIN, European Space Agency, 00044, Frascati, Italy
 show all
Pages 3654-3670 | Received 29 Dec 2010, Accepted 04 May 2011, Published online: 24 Oct 2012
 
Sample our Geography journals, sign in here to start your FREE access for 14 days

Abstract

Soil Moisture and Ocean Salinity (SMOS), launched on 2 November 2009, is the first satellite mission addressing sea surface salinity (SSS) measurement from space. Its unique payload is the Microwave Imaging Radiometer using Aperture Synthesis (MIRAS), a new two-dimensional interferometer designed by the European Space Agency (ESA) and operating at the L-band frequency. This article presents a summary of SSS retrieval from SMOS observations and shows initial results obtained one year after launch. These results are encouraging, but also indicate that further improvements at various data processing levels are needed and hence are currently under investigation.

Acknowledgements

The SMOS Level 2 Prototype Processor development was funded by the European Space Agency under different contracts. This work was also supported in part by the French Centre National d'Etudes Spatiales, and by the Spanish National R+D Plan for the SMOS Barcelona Expert Centre on Radiometric Calibration and Ocean Salinity (http://www.smos-bec.icm.csic.es) activities, through project ESP2007-65667-C04 and previous grants.

Notes

François Petitcolin deceased.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related Research Data

Resolving the global surface salinity field and variations by blending satellite and in situ observations
Source: ESA Communications
Demonstration of ocean surface salinity microwave measurements from space using AMSR‐E data over the Amazon plume
Source: American Geophysical Union (AGU)
Interferometric synthetic aperture microwave radiometry for the remote sensing of the Earth
Source: Institute of Electrical and Electronics Engineers (IEEE)
Modeling Sun Glitter at L-Band for Sea Surface Salinity Remote Sensing With SMOS
Source: Institute of Electrical and Electronics Engineers (IEEE)
An introduction to GODAE OceanView
Source: Informa UK Limited
Impact of assimilating surface salinity from SMOS on ocean circulation estimates
Source: American Geophysical Union (AGU)
Ionospheric effects for L-band 2-D interferometric radiometry
Source: HAL CCSD
On the stability and spatiotemporal variance distribution of salinity in the upper ocean
Source: AMER GEOPHYSICAL UNION
A method for correcting regional bias in SMOS global salinity products
Source: Springer Science and Business Media LLC
Earth-Viewing L-Band Radiometer Sensing of Sea Surface Scattered Celestial Sky Radiation—Part II: Application to SMOS
Source: IEEE
The processing of hexagonally sampled signals with standard rectangular techniques: application to 2-D large aperture synthesis interferometric radiometers
Source: Institute of Electrical and Electronics Engineers (IEEE)
Quality assessment of spaceborne sea surface salinity observations over the northern North Atlantic
Source: AGU
Considerations for Microwave Remote Sensing of Ocean-Surface Salinity
Source: Institute of Electrical and Electronics Engineers (IEEE)
Satellite Measurements of Salinity
Source: Elsevier
COMPLEMENTARY ROLE OF SMOS-SSS DATA
Source: (:unav)
OPTIMAL CONFIGURATION FOR SMOS
Source: American Geophysical Union (AGU)
A fully coupled Mediterranean regional climate system model: design and evaluation of the ocean component for the 1980-2012 period
Source: Co-Action Publishing
The emissivity of foam-covered water surface at L-band: theoretical modeling and experimental results from the FROG 2003 field experiment
Source: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
ALGERIAN EDDIES FROM SSS
Source: (:unav)
Microwave aperture synthesis radiometry: Paving the path for sea surface salinity measurement from space
Source: Springer Netherlands
A first estimation of SMOS-based ocean surface T-S diagrams
Source: American Geophysical Union (AGU)
Wind speed effect on L-band brightness temperature inferred from EuroSTARRS and WISE 2001 field experiments
Source: Institute of Electrical and Electronics Engineers (IEEE)
Vertical Variability of Near-Surface Salinity in the Tropics: Consequences for L-Band Radiometer Calibration and Validation
Source: HAL CCSD
Mechanisms of mixed-layer salinity seasonal variability in the Indian Ocean
Source: American Geophysical Union (AGU)
Overview of the SMOS Sea Surface Salinity Prototype Processor
Source: HAL CCSD
The determination of surface salinity with the European SMOS space mission
Source: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Error sources and feasibility for microwave remote sensing of ocean surface salinity
Source: Institute of Electrical and Electronics Engineers (IEEE)
An improved model for the dielectric constant of sea water at microwave frequencies
Source: Institute of Electrical and Electronics Engineers (IEEE)
Chapter 19 Sea surface salinity: Toward an operational remote-sensing system
Source: Elsevier
The Role of Averaging for Improving Sea Surface Salinity Retrieval from the Soil Moisture and Ocean Salinity (SMOS) Satellite and Impact of Auxiliary Data
Source: American Meteorological Society
Surface Salinity Retrieved from SMOS Measurements over the Global Ocean: Imprecisions Due to Sea Surface Roughness and Temperature Uncertainties
Source: HAL CCSD
Coupled sea surface-atmosphere model: 2. Spectrum of short wind waves
Source: American Geophysical Union (AGU)
SMOS Calibration
Source: Institute of Electrical and Electronics Engineers (IEEE)
The WISE 2000 and 2001 field experiments in support of the SMOS mission: sea surface L-band brightness temperature observations and their application to sea surface salinity retrieval
Source: HAL CCSD
Données flottantes Argo et métadonnées du Global Data Assembly Center (Argo GDAC)
Source: SEANOE
Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission
Source: HAL CCSD
ARGO upper salinity measurements: perspectives for L-band radiometers calibration and retrieved sea surface salinity validation
Source: HAL CCSD
Toward an Optimal SMOS Ocean Salinity Inversion Algorithm
Source: Institute of Electrical and Electronics Engineers (IEEE)
A physical radar cross-section model for a wind-driven sea with swell
Source: Institute of Electrical and Electronics Engineers (IEEE)
Assimilation of Satellite Salinity for Modelling the Congo River Plume
Source: MDPI AG
Earth-Viewing L-Band Radiometer Sensing of Sea Surface Scattered Celestial Sky Radiation—Part I: General Characteristics
Source: Institute of Electrical and Electronics Engineers (IEEE)
SMOS and Aquarius/SAC-D Missions: The Era of Spaceborne Salinity Measurements is About to Begin
Source: Springer
Impact on Sea Surface Salinity Retrieval of Different Auxiliary Data Within the SMOS Mission
Source: IEEE
Polarimetric mode of MIRAS
Source: Institute of Electrical and Electronics Engineers (IEEE)
A model of sea-foam thickness distribution for passive microwave remote sensing applications
Source: American Geophysical Union (AGU)
Simulated SMOS Levels 2 and 3 Products: The Effect of Introducing ARGO Data in the Processing Chain and Its Impact on the Error Induced by the Vicinity of the Coast
Source: (:unav)
SMOS: The Payload
Source: Institute of Electrical and Electronics Engineers (IEEE)
Mixed layer heat and salinity budgets during the onset of the 2011 Atlantic cold tongue
Source: American Geophysical Union (AGU)
On the Reduction of the Reconstruction Bias in Synthetic Aperture Imaging Radiometry (Corrected) $^{\ast}$
Source: Institute of Electrical and Electronics Engineers (IEEE)
Whitecaps and the passive remote sensing of the ocean surface
Source: Informa UK Limited
Comparison of the Retrieval of Sea Surface Salinity Using Different Instrument Configurations of MICAP
Source: MDPI AG
SEA EMISSIVITY MODELING AT L BAND
Source: American Geophysical Union (AGU)
Influence of sea surface emissivity model parameters at L-band for the estimation of salinity
Source: Informa UK Limited
The emissivity of sea foam at microwave frequencies
Source: American Geophysical Union (AGU)
SALINITY RETRIEVAL AND AVERAGING
Source: American Geophysical Union (AGU)
Variability of sea surface salinity in the tropical Indian Ocean as inferred from Aquarius and in situ data sets
Source: (:unav)

Linking provided by 

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.