FN Archimer Export Format
PT J
TI Ocean cross-validated observations from R/Vs L'Atalante, Maria S. Merian, and Meteor and related platforms as part of the EUREC4A-OA/ATOMIC campaign
BT 
AF L'Hégaret, Pierre
   Schütte, Florian
   Speich, Sabrina
   Reverdin, Gilles
   Baranowski, Dariusz B.
   Czeschel, Rena
   Fischer, Tim
   Foltz, Gregory R.
   Heywood, Karen J.
   Krahmann, Gerd
   Laxenaire, Rémi
   Le Bihan, Caroline
   Le Bot, Philippe
   Leizour, Stephane
   Rollo, Callum
   Schlundt, Michael
   Siddle, Elizabeth
   Subirade, Corentin
   Zhang, Dongxiao
   Karstensen, Johannes
AS 1:1;2:2;3:1;4:3;5:4;6:5;7:5;8:6;9:7;10:5;11:1;12:8;13:8;14:8;15:9;16:5;17:7;18:1;19:10,11;20:5;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:PDG-ODE-LOPS-TOIS;13:PDG-ODE-LOPS-TOIS;14:PDG-ODE-LOPS-TOIS;15:;16:;17:;18:;19:;20:;
C1 LMD/IPSL, CNRS, ENS, École Polytechnique, Institut Polytechnique de Paris, PSL, Research University, Sorbonne Université, Paris, France
   KlimaCampus, Max Planck Institute for Meteorology, Hamburg, Germany
   CNRS, IRD, MNHN, UMR7159 L’OCÉAN/IPSL, Sorbonne Université, Paris, France
   Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland
   GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
   NOAA, Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, USA
   Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, UK
   UBO, CNRS, IRD, Laboratoire d’Océanographie Physique et Spatiale (LOPS), IUEM, French Research Institute for Exploitation of the Sea (IFREMER), Plouzané, France
   Voice of the Ocean Foundation, Gothenburg, Sweden
   Cooperative Institute for Climate, Ocean, and Ecosystem Studies, University of Washington, Seattle, WA, USA
   NOAA Pacific Marine Environmental Laboratory (PMEL), Seattle, WA, USA
C2 UNIV SORBONNE, FRANCE
   MAX PLANCK INST METEOROL, GERMANY
   CNRS, FRANCE
   POLISH ACAD SCI, POLAND
   IFM GEOMAR, GERMANY
   NOAA, USA
   UNIV E ANGLIA, UK
   IFREMER, FRANCE
   OCEAN FND, SWEDEN
   UNIV WASHINGTON, USA
   NOAA, USA
SI BREST
SE PDG-ODE-LOPS-TOIS
UM LOPS
IN WOS Ifremer UMR
   DOAJ
   copubli-france
   copubli-europe
   copubli-univ-france
   copubli-int-hors-europe
IF 11.4
TC 1
UR https://archimer.ifremer.fr/doc/00835/94694/102122.pdf
   https://archimer.ifremer.fr/doc/00835/94694/102123.pdf
LA English
DT Article
CR ESS_LOPS17-02
   EUREC4A_OA
BO L'Europe
   L'Atalante
AB The northwestern Tropical Atlantic Ocean is a turbulent region, filled with mesoscale eddies and regional currents. In this intense dynamical context, several water masses with thermohaline characteristics of different origins are advected, mixed, and stirred at the surface and at depth. The EUREC4A-OA/ATOMIC experiment that took place in January and February 2020 was dedicated to assessing the processes at play in this region, especially the interaction between the ocean and the atmosphere. For that reason, four oceanographic vessels and different autonomous platforms measured properties near the air–sea interface and acquired thousands of upper-ocean (up to 400–2000 m depth) profiles. However, each device had its own observing capability, varying from deep measurements acquired during vessel stations to shipboard underway near-surface observations and measurements from autonomous and uncrewed systems (such as Saildrones). These observations were undertaken with a specific sampling strategy guided by near-real-time satellite maps and adapted every half day, based on the process that was investigated. These processes were characterized by different spatiotemporal scales, from mesoscale eddies, with diameters exceeding 100 km, to submesoscale filaments of 1 km width. This article describes the datasets gathered from the different devices and how the data were calibrated and validated. In order to ensure an overall consistency, the platforms' datasets are cross-validated using a hierarchy of instruments defined by their own specificity and calibration procedures. This has enabled the quantification of the uncertainty in the measured parameters when different datasets are used together, e.g., https://doi.org/10.17882/92071 (L'Hégaret et al., 2020a). 
PY 2023
PD APR
SO Earth System Science Data
SN 1866-3508
PU Copernicus GmbH
VL 15
IS 4
UT 000978097400001
BP 1801
EP 1830
DI 10.5194/essd-15-1801-2023
ID 94694
ER

EF