Cabanes, C., A. Grouazel, K. von Schuckmann, M. Hamon, V. Turpin, C. Coatanoan, F. Paris, S. Guinehut, C. Boone, N. Ferry, C. de Boyer Montégut, T. Carval, G. Reverdin, S. Pouliquen, and P. Y. Le Traon, 2013: The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements. Ocean Science, 9, 1-18, http://www.ocean-sci.net/9/1/2013/os-9-1-2013.html, doi:10.5194/os-9-1-2013.
Abstract
The CORA dataset (Coriolis Ocean Dataset for Reanalysis) aims to diffuse all types of in-situ temperature and salinity measurements with a maximal sampling, including high frequency profilers (ARGO, CTD, etc...) surface and sub-surface timeseries (Thermosalinographs and surface drifters, etc...). The current version of the CORA dataset (CORA5.0) stands out from the previous version by the intake of millions profiles from the historical period (1950-1990) and the intake of year 2015 profiles from Coriolis. A very careful validation process is performed on the CORA measurements since the probably erroneous profiles are individually checked by an oceanographer which changes the data quality flags if necessary. This work flow reduces the amount of unnecessary flags leading to a better estimation of the ocean variability. Last, a correction is applied on the XBT measurement depth following the method bu Hamon et al. 2012. The CORA dataset is distributed by the Copernicus Marine and Environement Service online catalogue: Product User Manual and Documentation are also distributed by Copernicus.
This datasets diffuses all types of in situ temperature and salinity measurements with a maximal sampling including high frequency profilers ARGO CTD etc... surface and sub surface timeseries Thermosalinographs and surface drifters etc...