@article{fdi:010065223,
  title = {{T}he {F}rench contribution to the voluntary observing ships network of sea surface salinity},
  author = {{A}lory, {G}a{\¨e}l and {D}elcroix, {T}hierry and {T}{\'e}chin{\'e}, {P}. and {D}iverr{\`e}s, {D}enis and {V}arillon, {D}avid and {C}ravatte, {S}ophie and {G}ouriou, {Y}ves and {G}relet, {J}acques and {J}acquin, {S}t{\'e}phane and {K}estenare, {E}lodie and {M}aes, {C}hristophe and {M}orrow, {R}. and {P}errier, {J}. and {R}everdin, {G}. and {R}oubaud, {F}abrice},
  editor = {},
  language = {{ENG}},
  abstract = {{S}ea {S}urface {S}alinity ({SSS}) is an essential climate variable that requires long term in situ observation. {T}he {F}rench {SSS} {O}bservation {S}ervice ({SSS}-{OS}) manages a network of {V}oluntary {O}bserving {S}hips equipped with thermosalinographs ({TSG}). {T}he network is global though more concentrated in the tropical {P}acific and {N}orth {A}tlantic oceanic basins. {T}he acquisition system is autonomous with real time transmission and is regularly serviced at harbor calls. {T}here are distinct real time and delayed time processing chains. {R}eal time processing includes automatic alerts to detect potential instrument problems, in case raw data are outside of climatic limits, and graphical monitoring tools. {D}elayed time processing relies on a dedicated software for attribution of data quality flags by visual inspection, and correction of {TSG} time series by comparison with daily water samples and collocated {A}rgo data. {A} method for optimizing the automatic attribution of quality flags in real time, based on testing different thresholds for data deviation from climatology and retroactively comparing the resulting flags to delayed time flags, is presented. {T}he {SSS}-{OS} real time data feed the {C}oriolis operational oceanography database, while the research-quality delayed time data can be extracted for selected time and geographical ranges through a graphical web interface. {D}elayed time data have been also combined with other {SSS} data sources to produce gridded files for the {P}acific and {A}tlantic oceans. {A} short review of the research activities conducted with such data is given. {I}t includes observation-based process-oriented and climate studies from regional to global scale as well as studies where in situ {SSS} is used for calibration/validation of models, coral proxies or satellite data.},
  keywords = {{PACIFIQUE} ; {ATLANTIQUE}},
  booktitle = {},
  journal = {{D}eep {S}ea {R}esearch {P}art {I} : {O}ceanographic {R}esearch {P}apers},
  volume = {105},
  numero = {},
  pages = {1--18},
  ISSN = {0967-0637 ; 1879-0119},
  year = {2015},
  DOI = {10.1016/j.dsr.2015.08.005},
  URL = {https://www.documentation.ird.fr/hor/fdi:010065223},
}