Search Results - "Tandeo, Pierre"

Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods by Pulido, Manuel, Tandeo, Pierre, Bocquet, Marc, Carrassi, Alberto, Lucini, Magdalena

“…For modelling geophysical systems, large-scale processes are described through a set of coarse-grained dynamical equations while small-scale processes are…”
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Model error covariance estimation in particle and ensemble Kalman filters using an online expectation–maximization algorithm by Cocucci, Tadeo J., Pulido, Manuel, Lucini, Magdalena, Tandeo, Pierre

“…The performance of ensemble‐based data assimilation techniques that estimate the state of a dynamical system from partial observations depends crucially on the…”
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Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review by Cheng, Sibo, Quilodran-Casas, Cesar, Ouala, Said, Farchi, Alban, Liu, Che, Tandeo, Pierre, Fablet, Ronan, Lucor, Didier, Iooss, Bertrand, Brajard, Julien, Xiao, Dunhui, Janjic, Tijana, Ding, Weiping, Guo, Yike, Carrassi, Alberto, Bocquet, Marc, Arcucci, Rossella

“…Data assimilation (DA) and uncertainty quantification (UQ) are extensively used in analysing and reducing error propagation in high-dimensional…”
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Statistical forecast of the marine surge by Quintana, Gonzalo Iñaki, Tandeo, Pierre, Drumetz, Lucas, Leballeur, Laurent, Pavec, Marc

“…This paper studies different machine learning methods for solving the regression problem of estimating the marine surge value given meteorological data. The…”
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Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning by Colin, Aurélien, Fablet, Ronan, Tandeo, Pierre, Husson, Romain, Peureux, Charles, Longépé, Nicolas, Mouche, Alexis

“…Through the Synthetic Aperture Radar (SAR) embarked on the satellites Sentinel-1A and Sentinel-1B of the Copernicus program, a large quantity of observations…”
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Reduction of rain-induced errors for wind speed estimation on SAR observations using convolutional neural networks by Colin, Aurelien, Tandeo, Pierre, Peureux, Charles, Husson, Romain, Fablet, Ronan

“…Synthetic Aperture Radar is known to be able to provide high-resolution estimates of surface wind speed. These estimates usually rely on a Geophysical Model…”
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Wave group focusing in the ocean: estimations using crest velocities and a Gaussian linear model by Platzer, Paul, Filipot, Jean-François, Naveau, Philippe, Tandeo, Pierre, Yiou, Pascal

“…Wave group focusing gives rise to the formation of large gravity waves at the surface of the ocean, some of which are called rogue waves and represent a…”
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Correction: Martinez et al. Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean. Remote Sens. 2020, 12, 4156 by Martinez, Elodie, Brini, Anouar, Gorgues, Thomas, Drumetz, Lucas, Roussillon, Joana, Tandeo, Pierre, Maze, Guillaume, Fablet, Ronan

“…The authors wish to make the following corrections to the paper [...]…”
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Twenty-Seven Years of Scatterometer Surface Wind Analysis over Eastern Boundary Upwelling Systems by Bentamy, Abderrahim, Grodsky, Semyon A., Cambon, Gildas, Tandeo, Pierre, Capet, Xavier, Roy, Claude, Herbette, Steven, Grouazel, Antoine

“…More than twelve satellite scatterometers have operated since 1992 through the present, providing the main source of surface wind vector observations over…”
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Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean by Martinez, Elodie, Brini, Anouar, Gorgues, Thomas, Drumetz, Lucas, Roussillon, Joana, Tandeo, Pierre, Maze, Guillaume, Fablet, Ronan

“…Phytoplankton plays a key role in the carbon cycle and supports the oceanic food web. While its seasonal and interannual cycles are rather well characterized…”
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A labelled ocean SAR imagery dataset of ten geophysical phenomena from Sentinel‐1 wave mode by Wang, Chen, Mouche, Alexis, Tandeo, Pierre, Stopa, Justin E., Longépé, Nicolas, Erhard, Guillaume, Foster, Ralph C., Vandemark, Douglas, Chapron, Bertrand

“…The Sentinel‐1 mission is part of the European Copernicus program aiming at providing observations for Land, Marine and Atmosphere Monitoring, Emergency…”
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Exploring Machine Learning to Correct Satellite-Derived Sea Surface Temperatures by Saux Picart, Stéphane, Tandeo, Pierre, Autret, Emmanuelle, Gausset, Blandine

“…Machine learning techniques are attractive tools to establish statistical models with a high degree of non linearity. They require a large amount of data to be…”
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Validation and Parameter Sensitivity Tests for Reconstructing Swell Field Based on an Ensemble Kalman Filter by Wang, Xuan, Tandeo, Pierre, Fablet, Ronan, Husson, Romain, Guan, Lei, Chen, Ge

“…The swell propagation model built on geometric optics is known to work well when simulating radiated swells from a far located storm. Based on this simple…”
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Rain Regime Segmentation of Sentinel-1 Observation Learning From NEXRAD Collocations With Convolution Neural Networks by Colin, Aurelien, Tandeo, Pierre, Peureux, Charles, Husson, Romain, Longepe, Nicolas, Fablet, Ronan

“…Remote sensing of rainfall events is critical for both operational and scientific needs, including for example weather forecasting, extreme flood mitigation,…”
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Nowcasting solar irradiance using an analog method and geostationary satellite images by Ayet, A., Tandeo, P.

“…[Display omitted] •An novel statistical method to forecast Global Horizontal Irradiance is presented.•Only one source of data is used: hourly geostationary…”
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On‐line machine‐learning forecast uncertainty estimation for sequential data assimilation by Sacco, Maximiliano A., Pulido, Manuel, Ruiz, Juan J., Tandeo, Pierre

“…Quantifying forecast uncertainty is a key aspect of state‐of‐the‐art numerical weather prediction and data assimilation systems. Ensemble‐based data…”
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Segmentation of Mesoscale Ocean Surface Dynamics Using Satellite SST and SSH Observations by Tandeo, Pierre, Chapron, Bertrand, Ba, Sileye, Autret, Emmanuelle, Fablet, Ronan

“…Multisatellite measurements of altimeter-derived sea surface height (SSH) and sea surface temperature (SST) provide a wealth of information about ocean…”
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Could old tide gauges help estimate past atmospheric variability? by Platzer, Paul, Ailliot, Pierre, Chapron, Bertrand, Tandeo, Pierre

“…The surge residual is the non-tidal component of coastal sea level. It responds to the atmospheric circulation, including the direct effect of atmospheric…”
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Evaluation of machine learning techniques for forecast uncertainty quantification by Sacco, Maximiliano A., Ruiz, Juan J., Pulido, Manuel, Tandeo, Pierre

“…Ensemble forecasting is, so far, the most successful approach to produce relevant forecasts with an estimation of their uncertainty. The main limitations of…”
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Classification of the global Sentinel-1 SAR vignettes for ocean surface process studies by Wang, Chen, Tandeo, Pierre, Mouche, Alexis, Stopa, Justin E., Gressani, Victor, Longepe, Nicolas, Vandemark, Douglas, Foster, Ralph C., Chapron, Bertrand

“…Spaceborne synthetic aperture radar (SAR) can provide finely-resolved (meters-scale) images of ocean surface roughness day-or-night in nearly all weather…”
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