A5077564057- Oceanographic and Atmospheric Processes
- Climate variability and models
- Meteorological Phenomena and Simulations
- Marine and coastal ecosystems
- Ocean Waves and Remote Sensing
- Geophysics and Gravity Measurements
- Reservoir Engineering and Simulation Methods
- Atmospheric and Environmental Gas Dynamics
- Marine and environmental studies
- Arctic and Antarctic ice dynamics
- Tropical and Extratropical Cyclones Research
- Methane Hydrates and Related Phenomena
- Aquatic and Environmental Studies
- Geochemistry and Geologic Mapping
- Marine and fisheries research
- Video Surveillance and Tracking Methods
- Advanced Computational Techniques and Applications
- Adaptive Control of Nonlinear Systems
- Computational Physics and Python Applications
- Environmental Monitoring and Data Management
- Hydrocarbon exploration and reservoir analysis
- Robotics and Sensor-Based Localization
- Underwater Acoustics Research
- Scientific Computing and Data Management
- Advanced Vision and Imaging
University of Liège
2016-2025
Hospital de Clínicas de Porto Alegre
2022
United Kingdom Atomic Energy Authority
2022
Culham Science Centre
2022
Ghent University
2022
Technische Universität Berlin
2022
Culham Centre for Fusion Energy
2022
Technische Universität Ilmenau
2013-2020
University of Konstanz
2003-2019
Karlsruhe Institute of Technology
2015-2019
Abstract : The main objective is to use the HYbrid Coordinate Ocean Model (HYCOM) with data assimilation in an eddy-resolving, fully global ocean prediction system transition Naval Oceanographic Office (NAVOCEANO) at .08 deg equatorial (~7 km mid-latitude) resolution 2007 and .04 by 2011. model will include shallow water a minimum depth of 5 m provide boundary conditions finer coastal regional models that may HYCOM or different model. In addition, be coupled atmospheric, ice bio-chemical...
Abstract The JET 2019–2020 scientific and technological programme exploited the results of years concerted engineering work, including ITER-like wall (ILW: Be W divertor) installed in 2010, improved diagnostic capabilities now fully available, a major neutral beam injection upgrade providing record power 2019–2020, tested technical procedural preparation for safe operation with tritium. Research along three complementary axes yielded wealth new results. Firstly, plasma delivered scenarios...
An empirical orthogonal function–based technique called Data Interpolating Empirical Orthogonal Functions (DINEOF) is used in a multivariate approach to reconstruct missing data. Sea surface temperature (SST), chlorophyll concentration, and QuikSCAT winds are assess the benefit of reconstruction. In particular, combination SST plus chlorophyll, lagged have been studied. To quality reconstructions, reconstructed compared situ The as well significantly improves results obtained by...
Abstract The surface circulation of the Caribbean Sea and Gulf Mexico is studied using 13 years satellite altimetry data. Variability in evident over several time scales. At annual scale, sea height (SSH) varies mainly by a seasonal steric effect. Interannually, longer cycle affects SSH slope across current hence intensity Current. This found to be related changes wind intensity, stress curl, El Niño–Southern Oscillation. shorter scales, eddies meanders are observed Current, their...
This paper compares several commonly used state-of-the-art ensemble-based data assimilation methods in a coherent mathematical notation. The study encompasses different that are applicable to high-dimensional geophysical systems, like ocean and atmosphere provide an uncertainty estimate. Most variants of Ensemble Kalman Filters, Particle Filters second-order exact discussed, including Gaussian Mixture while require adjoint model or tangent linear formulation the excluded. detailed...
Ocean reanalyses combine ocean models, atmospheric forcing fluxes, and observations using data assimilation to give a four-dimensional description of the ocean. Metrics assessing their reliability have improved over time, allowing become an important tool in climate services that provide more complete picture changing end users. Besides monitoring research, are used initialize sub-seasonal multi-annual predictions, support observational network monitoring, evaluate model simulations. These...
In this paper, we outline the need for a coordinated international effort toward building of an open-access Global Ocean Oxygen Database and ATlas (GO 2 DAT) complying with FAIR principles (Findable, Accessible, Interoperable, Reusable). GO DAT will combine data from coastal open ocean, as measured by chemical Winkler titration method or sensors (e.g., optodes, electrodes) Eulerian Lagrangian platforms ships, moorings, profiling floats, gliders, ships opportunities, marine mammals, cabled...
Abstract. A method to reconstruct missing data in sea surface temperature using a neural network is presented. Satellite observations working the optical and infrared bands are affected by clouds, which obscure part of ocean underneath. In this paper, with structure convolutional auto-encoder developed based on available cloud-free pixels satellite images. Contrary standard image reconstruction networks, application requires handle (or variable accuracy) training phase. The present work...
A new image based approach for fast and robust tracking of vehicles from a moving platform is presented. Position, orientation, the full motion state including velocity, acceleration, yaw rate detected vehicle are estimated tracked 3D point cloud. This cloud computed by analyzing sequences in both space time, i.e. fusion stereo vision optical flow vectors. Starting an automated initial hypothesis, performed means Extended Kalman Filter. The filter combines knowledge where rigid has moved...
A new image-based approach for fast and robust vehicle tracking from a moving platform is presented. Position, orientation, full motion state, including velocity, acceleration, yaw rate of detected vehicle, are estimated tracked rigid 3-D point cloud. This cloud represents object model computed by analyzing image sequences in both space time, i.e., fusion stereo vision features. Starting an automated initial hypothesis, performed means extended Kalman filter. The filter combines the...
Numerous climatologies are available at different resolutions and cover various parts of the global ocean. Most them have a resolution too low to represent suitably regional processes methods for their construction not able take into account influence physical effects (topographic constraints, boundary conditions, advection, etc.). A high‐resolution atlas temperature salinity is developed northeast Atlantic Ocean on 33 depth levels. The originality this climatology twofold: (1) For data set,...
Abstract. A tool for multidimensional variational analysis (divand) is presented. It allows the interpolation and of observations on curvilinear orthogonal grids in an arbitrary high dimensional space by minimizing a cost function. This function penalizes deviation from observations, first guess abruptly varying fields based given correlation length (potentially time). Additional constraints can be added to this such as advection constraint which forces analysed field align with ocean...
The advancement of Coastal Ocean Forecasting Systems (COFS) requires the support continuous scientific progress addressing: (a) primary mechanisms driving coastal circulation; (b) methods to achieve fully integrated systems (observations and models), that are dynamically embedded in larger scale systems; (c) adequately represent air-sea biophysical interactions. Issues downscaling, data assimilation, atmosphere-wave-ocean couplings ecosystem dynamics ocean discussed. These science topics...
Operational oceanography can be described as the provision of routine oceanographic information needed for decision-making purposes. It is dependent upon sustained research and development through end-to-end framework an operational service, from observation collection to delivery mechanisms. The core components systems are a multi-platform network, data management system, assimilative prediction dissemination/accessibility system. These interdependent, necessitating communication exchange...
Abstract. DINCAE (Data INterpolating Convolutional Auto-Encoder) is a neural network used to reconstruct missing data (e.g., obscured by clouds or gaps between tracks) in satellite data. Contrary standard image reconstruction (in-painting) with networks, this application requires method handle (or variable accuracy) already the training phase. Instead of using L2 L1) cost function, (U-Net type network) optimized minimizing negative log likelihood assuming Gaussian distribution (characterized...
Abstract. We present an extension to the Data INterpolating Empirical Orthogonal Functions (DINEOF) technique which allows not only fill in clouded images but also provide estimation of error covariance reconstruction. This additional information is obtained by analogy with optimal interpolation. It shown that fields can be a clever rearrangement calculations at cost comparable interpolation itself. The method presented on reconstruction sea-surface temperature Ligurian Sea and around...
High‐frequency radar currents are assimilated in a West Florida Shelf (WFS) model based on the Regional Ocean Model System (ROMS), which is nested Atlantic Hybrid Coordinate (HYCOM) for purpose of including both local and deep‐ocean forcing, particularly Gulf Mexico Loop Current. Tides not included this model. An ensemble simulation WFS carried out under different wind‐forcings order to estimate error covariance state vector between ocean winds. Radial measured by high‐frequency antennas...
Abstract. DINEOF (Data Interpolating Empirical Orthogonal Functions) is an EOF-based technique for the reconstruction of missing data in geophysical fields, such as those produced by clouds sea surface temperature satellite images. A to reduce spurious time variability reconstructions presented. The these images within a long series using can lead large discontinuities reconstruction. Filtering temporal covariance matrix allows this and therefore more realistic are obtained. approach tested...