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Gael Forget

Researcher at Massachusetts Institute of Technology

Publications -  82
Citations -  3990

Gael Forget is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Ocean gyre & Argo. The author has an hindex of 30, co-authored 78 publications receiving 3062 citations.

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ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation

TL;DR: The ECCO v4 non-linear inverse modeling framework and its baseline solution for the evolving ocean state over the period 1992-2011 are publicly available and subjected to regular, automated regression tests as mentioned in this paper.

ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation

TL;DR: In this paper, the authors presented a method to detect the presence of magnetic anomalies in the seafloor of a ship using a magnetometer and a gyroscope from the United States National Aeronautics and Space Administration.
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North Atlantic simulations in Coordinated Ocean-ice Reference Experiments phase II (CORE-II). Part I: Mean states

TL;DR: Simulation characteristics from eighteen global ocean-sea-ice coupled models are presented with a focus on the mean Atlantic meridional overturning circulation (AMOC) and other related fields in the North Atlantic as discussed by the authors.
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On the Future of Argo: A Global, Full-Depth, Multi-Disciplinary Array

Dean Roemmich, +79 more
TL;DR: The objective is to create a fully global, top-to-bottom, dynamically complete, and multidisciplinary Argo Program that will integrate seamlessly with satellite and with other in situ elements of the Global Ocean Observing System.
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The Ocean Reanalyses Intercomparison Project (ORA-IP)

TL;DR: In this article, a multi-reanalysis ensemble is used to estimate the signal-to-noise ratio (SNR) of the ocean state and to estimate uncertainty levels.