CORA_dataset

CORA dataset

CORA dataset

Oceanographic temperature and salinity dataset


CORA (standing for Coriolis Ocean database ReAnalysis) is a global oceanographic temperature and salinity dataset produced and maintained by the French institute IFREMER. Most of those data are real-time data coming from different types of platforms such as research vessels, profilers, underwater gliders, drifting buoys, moored buoys, sea mammals and ships of opportunity.

CORA3.2 2010 July Sea Surface Temperature

Description

This in-situ dataset produced by the French institute Ifremer in the framework of the European project MyOcean and French project CORIOLIS is a picture of the content of the operational oceanographic database CORIOLIS. This database is the main tool of Coriolis project which is a global data assembly center of in situ data: such as US-GODAE centre of Monterey in California. The latest version of CORA product is v5.0, it covers the years 1950 up to 2015 and has been released in April 2017. Observations are profiles distributed on measured levels (pressure or depth) and organized by dates of measurement and type of platform. Main users of CORA dataset are ocean modelers who needs to constraint and initialize their model. CORA[1] is free of access and can be download via CORIOLIS website[2] in netCDF file format. The main different of CORA dataset with other available datasets is that CORA provides data at depth levels where measurements were made rather than at standard levels such as in World Ocean Atlas or ENACT3. In addition data in CORA are retrieved from Coriolis database where each profile is visually checked by specialist operators if suspicious.

Validation procedure

Validation in database

  • duplicate observation check
  • automatic checks (spikes, climatology, monotonic depth, valid date/position,...)
  • objective analysis (ISAS software with 21 days, 300 km covariance ray): suspicious observations are visualized by an operator

Validation post extraction

  • second duplicate observation check (detection and choice parameters tuned)
  • refined climatological test
  • XBT depth correction[3]
  • second objective analysis with tuned parameters: anomalies are visualized
  • ARGO special diagnostics

Data sources

The CORA dataset is designed for operational oceanography, so most global real time monitoring networks are plugged into this database. The data sources are the following:

  • ARGO (autonomous drifting profilers)
  • The global network of moored buoys comprising the TAO/TRITON,[4] PIRATA and RAMA arrays
  • EGO (underwater gliders)
  • GTSPP (channel of real-time data distribution maintained by the US institute NOAA)
  • GOSUD[5] thermosalinograph data coming from opportunity ships
  • GTS (BATHY, TESSAC, drifting buoys messages) channel of low resolution data distribution
  • Sea mammals equipped with sensors (seals and sea elephants)
  • other datasets integrated in delayed-time (CTD, XBT, oceanographic cruises,...)

Versions

More information Date of release, Time span ...

References

  1. "Data and Products - Coriolis : In situ data for operational oceanography". Archived from the original on 2012-10-05. Retrieved 2012-09-26. official website of CORIOLIS project
  2. Hamon, M.; Reverdin, G.; Le Traon, P.-Y. (2012). "Empirical Correction of XBT Data". Journal of Atmospheric and Oceanic Technology. 29 (7): 960–973. Bibcode:2012JAtOT..29..960H. doi:10.1175/JTECH-D-11-00129.1.
  3. Cabanes, C.; Grouazel, A.; von Schuckmann, K.; Hamon, M.; Turpin, V.; Coatanoan, C.; Paris, F.; Guinehut, S.; Boone, C.; Ferry, N.; De Boyer Montégut, C.; Carval, T.; Reverdin, G.; Pouliquen, S.; Le Traon, P.-Y. (2013). "The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements". Ocean Science. 9 (1): 1–18. Bibcode:2013OcSci...9....1C. doi:10.5194/os-9-1-2013.

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