The 2014 Greenland-Portugal GEOVIDE bottle data (GO-SHIP A25 and GEOTRACES GA01)

DOI

The GEOVIDE cruise was carried out coast to coast between Portugal and Newfoundland via the south tip of Greenland, following the OVIDE line in the eastern part and crossing the Labrador Sea in the western part. The classical hydrographic rosette was cast 163 times at 78 different geographical positions called stations. While the CTD-O2 probe acquired continuous profiles of the “physical” variables (pressure, temperature, salinity and dissolved oxygen), 22 Niskin bottles were closed at different levels during the upcast to provide samples for biogeochemical analysis. After calibration, we find precisions for pressure, temperature, salinity and dissolved oxygen that fit the GO-SHIP international quality requirements. In parallel, but not simultaneously, a trace-metal rosette (TMR) was cast 53 times, also acquiring profiles of physical variables, and equipped with 24 Go-Flo bottles adapted for the sampling of trace metals. Depending on the number of operations, stations were identified as “Short” (one single CTD cast), “Large” (3 CTD casts), “XLarge” (up to 6) and “Super” (up to 11). All along the track of the ship, current magnitude and direction was measured by Ship Acoustic Doppler Current Profilers, down to 1000m depth. This dataset reports for the classical rosette bottle data for the following Essential Ocean Variables: salinity, dissolved oxygen, total alkalinity, pH, nitrates and silicic acid. It also reports on the measurements of the CTD-O2 probe at the bottle levels: pressure, temperature, salinity and dissolved oxygen.

Identifier
DOI https://doi.org/10.17882/54653
Metadata Access http://www.seanoe.org/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:seanoe.org:54653
Provenance
Creator Perez, Fiz; Treguer, Paul; Branellec, Pierre; García-ibáñez, Maribel I.; Lherminier, Pascale; Sarthou, Géraldine
Publisher Seanoe
Publication Year 2024
Rights CC0
OpenAccess true
Contact Seanoe
Representation
Resource Type Dataset
Discipline Biogeochemistry; Biospheric Sciences; Geosciences; Natural Sciences