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- IfremerFR24 papers
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4 papers · 1 filter
Neural ocean forecasting from sparse satellite-derived observations: a case-study for SSH dynamics and altimetry data
Daria Botvynko, Pierre Haslée, Lucile Gaultier +5
We present an end-to-end deep learning framework for short-term forecasting of global sea surface dynamics based on sparse satellite altimetry data. Building on two state-of-the-ar…
A Stochastic Ekman-Stokes Model for Coupled Ocean-Wave-Atmosphere Dynamics
Long Li, Etienne Mémin, Bertrand Chapron
Accurate representation of atmosphere-ocean boundary layers, including the interplay of turbulence, surface waves, and air-sea fluxes, remains a challenge in geophysical fluid dyna…
Turbulence and energy dissipation from wave breaking
Jiarong Wu, Stéphane Popinet, Bertrand Chapron +2
Wave breaking is a critical process in the upper ocean: an energy sink for the surface wave field and a source for turbulence in the ocean surface boundary layer. We apply a novel…
From few to many maps: A fast map-level emulator for extreme augmentation of CMB systematics datasets
P. Campeti, J. -M. Delouis, L. Pagano +3
We introduce a novel, fast, and efficient generative model built upon scattering covariances, the most recent iteration of the scattering transforms statistics. This model is desig…