List of Publications

  • Improving mesoscale altimetric data from a multi-tracer convolutional processing of standard satellite-derived products

  • The Analog Data Assimilation

  • Data-driven Methods for Spatio-Temporal Interpolation of Sea Surface Temperature Images

  • Exploiting ocean observation and simulation big data to improve satellite-derived geophysical products: Analog strategies

  • Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data.

  • Data-driven assimilation of irregularly-sampled image time series

  • Spatio-temporal interpolation of altimeter-derived SSH fields using analog data assimilation: a case-study in the South China Sea

  • Learning multi-tracer convolutional models for the reconstruction of high-resolution SSH

  • Geophysical flows under location uncertainty, Part I Random transport and general models

  • Geophysical flows under location uncertainty, Part II: Quasigeostrophic models and efficient ensemble spreading

  • Geophysical flows under location uncertainty, Part III: SQG and frontal dynamics under strong turbulence

  • Ocean heat content structure revealed by un-supervised classification of hydrographic profiles.

  • Non-negative decomposition of geophysical dynamics.

  • Toward data-driven methods in geophysics: the Analog Data Assimilation

  • Seabird drift as a proxy to estimate surface currents in the western Mediterranean?

  • Investigating SWOT’s capabilities to detect meso and submesoscale eddies in the western Mediterranean

  • The Analog Data Assimilation

  • Analog data assimilation for short space-time scales in mapping along-track ocean altimetry

  • Joint interpolation of multi-sensor sea surface geophysical fields using non-local and statistical priors.

  • Learning-based Emulation of Sea Surface Wind Fields from Numerical Model Outputs and SAR Data.

  • Non-negative decomposition of linear relationships: application to multi-source ocean remote sensing data.

  • Using archived datasets for missing data interpolation in ocean remote sensing observation series

  • Oceanic models under uncertainty

  • Likely chaotic transitions of large-scale fluid flows using a stochastic transport model

  • Deep Learning for Ocean Remote Sensing: An Application of Convolutional Neural Networks for Super-Resolution on Satellite-Derived SST Data.

  • Improving mesoscale altimetric data in the Mediterranean Sea: convolutional retreatment of AVISO products and use of SSH/SST synergy

  • The analog data assimilation: application to 20 years of altimetric data.

  • Non-local super-resolution of missing data in multi-sensor observations of sea surface geophysical fields.

  • Spatial decomposition of SST-SSH relationships in relation to the identification of SQG-like upper ocean dynamics from space.

  • Missing data super-resolution using non-local and statistical priors.

  • Reduced flow models from a stochastic Navier-Stokes representation

  • A particle filter to reconstruct a free-surface flow from a depth camera

  • Enhanced ensemble-based 4DVar scheme for data assimilation

  • Stochastic Reynolds theorem and generalized subgrid tensor

  • Stochastic fluid dynamics model and dimensional reduction