- Spatio-temporal interpolation of cloudy SST fields using conditional Analog Data Assimilation
- Large scale flows under location uncertainty: a consistent stochastic framework
- 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.
- Stochastic modelling and diffusion modes for proper orthogonal decomposition models and small-scale flow analysis
- Non-negative decomposition of geophysical dynamics.
- Stochastic representation of the Reynolds transport theorem: revisiting large-scale modeling
- High-resolution data assimilation through stochastic subgrid tensor and parameter estimation from 4DEnVar
- Toward data-driven methods in geophysics: the Analog Data Assimilation
- Motion Estimation under Location Uncertainty for Turbulent Fluid Flow
- Seabird drift as a proxy to estimate surface currents in the western Mediterranean?
- Wavelet-Based Optical Flow Estimation of Instant Surface Currents From Shore-Based and UAV Videos
- Investigating SWOT’s capabilities to detect meso and submesoscale eddies in the western Mediterranean
- Location Uncertainty Principle: Toward the Definition of Parameter-free Motion Estimators
- Transient Surf Zone Circulation Induced by Rhythmic Swash Zone at a Reflective Beach
- Evaluation of a wavelet-based optical flow algorithm through the use of large eddy simulations
- Application of optical flow for river velocimetry
- 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
