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11/23/2022
Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets
Satellite altimetry is a unique way for direct observations of sea surfa...
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11/18/2022
Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables
Optimal Interpolation (OI) is a widely used, highly trusted algorithm fo...
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04/12/2022
A DNN Framework for Learning Lagrangian Drift With Uncertainty
Reconstructions of Lagrangian drift, for example for objects lost at sea...
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04/08/2022
A posteriori learning for quasi-geostrophic turbulence parametrization
The use of machine learning to build subgrid parametrizations for climat...
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11/12/2021
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps
Modeling the subgrid-scale dynamics of reduced models is a long standing...
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10/07/2021
Joint calibration and mapping of satellite altimetry data using trainable variational models
Satellite radar altimeters are a key source of observation of ocean surf...
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10/09/2020
Physical invariance in neural networks for subgrid-scale scalar flux modeling
In this paper we present a new strategy to model the subgrid-scale scala...
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05/03/2020
Filtering Internal Tides From Wide-Swath Altimeter Data Using Convolutional Neural Networks
The upcoming Surface Water Ocean Topography (SWOT) satellite altimetry m...
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11/20/2019
