Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Trainable Variational Models

Domain:

environment and energy

Record type:

papermodelsoftware
Creator:
BenLegGuiRou
Editor:
EquDépeOdLab
Publisher:
CCSDMDPI
Host:avatar
International audience The estimation of ocean dynamics is a key challenge for applications ranging from climate modeling to ship routing. State-of-the-art methods relying on satellite-derived altimetry data can hardly resolve spatial scales below ∼100 km. In this work we investigate the relevance of AIS data streams as a new mean for the estimation of the surface current velocities. Using a physics-informed observation model, we propose to solve the associated the ill-posed inverse problem using a trainable variational formulation. The latter exploits variational auto-encoders coupled with neural ODE to represent sea surface dynamics. We report numerical experiments on a real AIS dataset off South Africa in a highly dynamical ocean region. They support the relevance of the proposed learning-based AIS-driven approach to significantly improve the reconstruction of sea surface currents compared with state-of-the-art methods, including altimetry-based ones

Visit

hal.science

Tags

inverse problemsdata assimilationdeep learningneural ODEsAIS[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

Licenses

https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/OpenAccess

Similar

From data to currents: generative models for short-term forecasting of oceanic currentsSea surface temperature prediction and reconstruction using patch-level neural network representationsSea surface temperature reconstruction of sediment core GeoB6518-1NOAA/WDS Paleoclimatology - Southern Indian Ocean Trade Wind Belt Trace Metal Data and a Sea Surface Temperature Reconstruction from Rodrigues IslandA novel filtering method for geodetically-determined ocean surface currents using deep learningSUPERVISED MODELS FOR ESTIMATING LINK-LEVEL TRAFFIC DENSITY USING TRAJECTORY DATA

From data to currents: generative models for short-term forecasting of oceanic currents

We investigate whether short-term forecasts of ocean surface currents can be

Sea surface temperature prediction and reconstruction using patch-level neural network representations

The forecasting and reconstruction of ocean and atmosphere dynamics from satellite observation time

Sea surface temperature reconstruction of sediment core GeoB6518-1

Past hydrological changes in Africa have been linked to various climatic processes, depending on reg

NOAA/WDS Paleoclimatology - Southern Indian Ocean Trade Wind Belt Trace Metal Data and a Sea Surface Temperature Reconstruction from Rodrigues Island

The western Indian Ocean has been warming rapidly over recent decades, causing a greater number of e

A novel filtering method for geodetically-determined ocean surface currents using deep learning

International audience Determining an accurate picture of ocean currents is an import

SUPERVISED MODELS FOR ESTIMATING LINK-LEVEL TRAFFIC DENSITY USING TRAJECTORY DATA

Traffic congestion is a growing concern in rapidly expanding cities, particularly in contex