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Luc Vandenbulcke

Researcher at University of Liège

Publications -  40
Citations -  704

Luc Vandenbulcke is an academic researcher from University of Liège. The author has contributed to research in topics: Data assimilation & Nested set model. The author has an hindex of 12, co-authored 38 publications receiving 538 citations. Previous affiliations of Luc Vandenbulcke include University of Porto.

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Copernicus Marine Service Ocean State Report

Karina von Schuckmann, +121 more
TL;DR: Sandrine Mulet, Bruno Buongiorno Nardelli, Simon Good, Andrea Pisano, Eric Greiner, Maeva Monier, Emmanuel... as discussed by the authors The Essential Variables of Ocean Temperature and Salinity
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From Observation to Information and Users: The Copernicus Marine Service Perspective

Pierre Yves Le Traon, +75 more
TL;DR: An overview of CMEMS, its evolution, and how the value of in situ and satellite observations is increased through the generation of high-level products ready to be used by downstream applications and services is presented.
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Super-ensemble techniques: Application to surface drift prediction

TL;DR: This study tries to predict the drift of two buoys launched during the DART06 and MREA07 sea trials, using the so-called hyper-ensemble technique, where different models are combined in order to minimize departure from independent observations during a training period; the obtained combination is then used in forecasting mode.
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divand-1.0: n -dimensional variational data analysis for ocean observations

TL;DR: divand allows the interpolation and analysis of observations on curvilinear orthogonal grids in an arbitrary high dimensional space by minimizing a cost function, which is useful in oceanography where disconnected water masses often have different physical properties.

Data Assimilation in a two-way nested model of the Ligurian Sea

TL;DR: In this article, a system of two nested models composed by a coarse resolution model of the Mediterranean Sea, an intermediate resolution model for the Provencal Basin and a high resolution model from the Ligurian Sea is coupled with a Kalman filter based assimilation method.