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Gilles Reverdin

Researcher at University of Paris

Publications -  249
Citations -  9627

Gilles Reverdin is an academic researcher from University of Paris. The author has contributed to research in topics: Sea surface temperature & Ocean gyre. The author has an hindex of 46, co-authored 232 publications receiving 8427 citations. Previous affiliations of Gilles Reverdin include National Museum of Natural History & Massachusetts Institute of Technology.

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Global high-resolution mapping of ocean circulation from TOPEX/Poseidon and ERS-1 and -2

TL;DR: In this paper, an improved estimation of mesoscale surface ocean circulation was obtained by merging TOPEX/Poseidon (T/P) and ERS-1 and -2 altimeter measurements between October 1992 and May 1998.
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A Pilot Research Moored Array in the Tropical Atlantic (PIRATA)

TL;DR: The PIRATA array consists of 12 moored Autonomous Temperature Line Acquisition System buoy sites to be occupied during the years 1997-2000 for monitoring the surface variables and upper-ocean thermal structure at key location as discussed by the authors.
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North Atlantic Ocean surface currents

TL;DR: In this paper, surface drifters are used to investigate the 15 m circulation of the North Atlantic Ocean and reveal a complex series of quasi-permanent eddies, meanders, and recirculation patterns.
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Seasonal cycle of velocity in the Atlantic North Equatorial Countercurrent as measured by surface drifters, current meters, and ship drifts

TL;DR: In this article, the authors describe the general circulation and seasonal variation of currents in the equatorial Atlantic, concentrating on the North Equatorial Countercurrent (NECC), using data collected as part of the Seasonal Response of the Equatorial Atlantic and Programme Francais Ocean et Climat dans l'Atlantique Equatorial experiments plus historical ship drifts.
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The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements

TL;DR: The COriolis dataset for Re-Analysis (CORA3) dataset as mentioned in this paper contains in-situ temperature and salinity profiles from different data types, and several tests have been developed to ensure a homogeneous quality control of the dataset.