Concatenated Temperature, Salinity, and Velocity measurements from EUREC4A_OA/ATOMIC (CTD, uCTD, MVP and S-ADCP data from the R/Vs L'Atalante and Maria S. Merian)

DOI

The EUREC4A-OA oceanographic campaign that took place in January-February 2020 in the tropical North-West Atlantic Ocean aboard several research vessels, was a contribution to the broader international research initiative EUREC4A (http://eurec4a.eu/). The cruise was carried out in conjunction with the research vessels L'Atalante (France), Maria S. Merian and Meteor (Germany) and the Ron Brown (USA) as well as with the aircraft and UAV operations and continuous observations from the ground site on the island of Barbados (BCO) and the Saildrone© operations as part of the US ATOMIC project. This dataset is composed of the different sections performed by the R/Vs L'Atalante and Maria S. Merian. For thermohaline measurements, they are composed of concatenated CTD, uCTD and MVP measurements lineary interpolated on a 0.5dbar vertical grid. The velocity measurements are composed of both S-ADCP frequencies (38 and 150kHz for the R/V L'Atalante, and 38 and 75kHz for the R/V Maria S. Merian), again linearly interpolated on a 0.5 dbar vertical grid. The uCTD measurements are processed using a toolbox from GEOMAR-PO based on the article from Ullman and Hebert (JAOT, 2014). A similar processing is done for the MVP. To specifically correct the discrepancies between downward and upward profiles, the method described in Mensah et al (JAOT, 2018) was implemented. A secondary quality check is performed by comparing the uCTD and MVP measurements with the nearest CTD stations, providing an estimation of temperature and salinity uncertainties.

Identifier
DOI https://doi.org/10.17882/92071
Metadata Access http://www.seanoe.org/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:seanoe.org:92071
Provenance
Creator L'Hegaret, Pierre; Speich, Sabrina; Karstensen, Johannes
Publisher SEANOE
Publication Year 2020
Rights CC-BY
OpenAccess true
Contact SEANOE
Representation
Resource Type Dataset
Discipline Marine Science