Bin-averaged SSS in the Atlantic Ocean

The annually binned Sea Surface Salinity data set covers a large part of the Atlantic Ocean (75°W-10°E, 20°S-70°N). It is based on salinity near-surface data collected since December 1895 to 2016 from all data sources, including Voluntary Observing Ships subsequently validated. This annual product presents Atlantic SSS 32 grid box anomaly and error time-series (for boxes 1 to 26, year 2016 not smoothed 1-2-1), as well as Atlantic SSS grid box coordinates and March-May mean climatology. The SSS binned time series are an update from the 1896-2013 time series (Friedman et al., 2017).

Simple

Date (Publication)
2018-12-26
Identifier
http://dx.doi.org/ / 10.6096/SSS-BINS-ATL
Credit
SNO SSS
Status
On going On going
Author
  Sorbonne Université, LOCEAN, CNRS/UPMC/IRD/MNHN, Paris, FranceCNRS, France - Gilles Reverdin
Author
  School of Geosciences, University of Edinburgh, UK - Andrew Friedman
Publisher
  Observatoire Midi-Pyrénées, Toulouse, France - Sedoo
Resource provider
  LOCEAN
Resource provider
  Sorbonne Universite
Resource provider
  CNRS
Resource provider
  IRD
Resource provider
  MNHN
Resource provider
  School of Geosciences
Resource provider
  University of Edinburgh, UK
Maintenance and update frequency
Annually Annually
GEMET - INSPIRE themes, version 1.0
  • Oceanographic geographical features
Centre de données ODATIS
  • CDS-IS-OMP
Thèmatiques ODATIS
  • Value-added products
ODATIS aggregation parameters and Essential Variable names
  • Salinity
  • Sea temperature
Type de jeux de donnée ODATIS
  • /in-situ observations/Networks
Services Nationaux d'Observation
  • SNO-SSS
GCMD Keywords, version 8.1
  • SALINITY
  • DENSITY
  • SEA SURFACE TEMPERATURE
GCMD Keywords, version 8.1
  • OCEAN
  • VERTICAL LOCATION > SEA SURFACE
GCMD Keywords, version 8.1
  • SHIPS
Use limitation
SSS data policy, https://sss.sedoo.fr/data-policy/
Use limitation
Publications using these binned data should acknowledge the SSS-OS (1), and please cite the dataset DOI and the following reference: Friedman A. R., G. Reverdin, M. Khodri and G. Gastineau, 2017. A new record of Atlantic sea surface salinity from 1896–2013 reveals the signatures of climate variability and long-term trends, Geophysical Research Letters, doi: 10.1002/2017GL072582. Copies should be sent to the contact email (contact SSS) to help us pursue and improve this product. (1) The suggested sentence is: "The binned data was made freely available by the French Sea Surface Salinity Observation Service (https://www.legos.omp.eu/sss/).
Use limitation
The data are provided without any warranty for any non-profit educational and research purposes.
Other constraints
No access conditions apply
Metadata language
EnglishEnglish
Topic category
  • Oceans
N
S
E
W
thumbnail


Begin date
1896-01-01
End date
2016-12-31
Reference system identifier
WGS84 / EPSG:4326

Distribution format
  • ASCII ()

  • NetCDF ( 3 )

Description
Download
OnLine resource
SNO SSS / Data Delivery / Delayed Mode Data ( WWW:LINK-1.0-http--link )

SNO SSS / Data Delivery / Delayed Mode Data

OnLine resource
SNO SSS / Data Delivery / Research Products ( WWW:LINK-1.0-http--link )

SNO SSS / Data Delivery / Research Products

OnLine resource
http://dx.doi.org/10.6096/SSS-BINS-ATL ( DOI )
Hierarchy level
Dataset Dataset

Conformance result

Date (Publication)
2018-12-26
Explanation
NA
Pass
Yes
Statement
Data produced by the SNO SSS.
File identifier
12640743-ad8d-e896-3378-9ba6c2300927 XML
Metadata language
EnglishEnglish
Character set
UTF-8 UTF8
Date stamp
2024-09-15T12:00:00.736+02:00
 
 

Overviews

overview

Spatial extent

N
S
E
W
thumbnail


Keywords

Centre de données ODATIS
CDS-IS-OMP
GCMD Keywords, version 8.1
DENSITY OCEAN SALINITY SEA SURFACE TEMPERATURE SHIPS VERTICAL LOCATION > SEA SURFACE
GEMET - INSPIRE themes, version 1.0
Oceanographic geographical features
ODATIS aggregation parameters and Essential Variable names
Salinity Sea temperature
Services Nationaux d'Observation
SNO-SSS
Thèmatiques ODATIS
Value-added products
Type de jeux de donnée ODATIS
/in-situ observations/Networks

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