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Quantification of CO<sub>2</sub> hotspot emissions from OCO-3 SAM CO<sub>2</sub> satellite images using deep learning methods.
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- Geoscientific Model Development Discussions, 2024, p. 1, doi. 10.5194/gmd-2024-156
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Deep learning applied to CO<sub>2</sub> power plant emissions quantification using simulated satellite images.
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- Geoscientific Model Development Discussions, 2023, p. 1, doi. 10.5194/gmd-2023-142
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- Article
Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology.
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- Cryosphere, 2024, v. 18, n. 5, p. 2381, doi. 10.5194/tc-18-2381-2024
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Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic.
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- Cryosphere, 2024, v. 18, n. 4, p. 1791, doi. 10.5194/tc-18-1791-2024
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- Article
Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology.
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- Cryosphere, 2023, v. 17, n. 7, p. 2965, doi. 10.5194/tc-17-2965-2023
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- Article
Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models.
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- Nonlinear Processes in Geophysics, 2019, v. 26, n. 3, p. 143, doi. 10.5194/npg-26-143-2019
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- Article
Review article: Comparison of local particle filters and new implementations.
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- Nonlinear Processes in Geophysics, 2018, v. 25, n. 4, p. 765, doi. 10.5194/npg-25-765-2018
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- Article
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error.
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- Nonlinear Processes in Geophysics, 2018, v. 25, n. 3, p. 633, doi. 10.5194/npg-25-633-2018
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- Article
Parametric covariance dynamics for the nonlinear diffusive Burgers equation.
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- Nonlinear Processes in Geophysics, 2018, v. 25, n. 3, p. 481, doi. 10.5194/npg-25-481-2018
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Quasi-static ensemble variational data assimilation: a theoretical and numerical study with the iterative ensemble Kalman smoother.
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- Nonlinear Processes in Geophysics, 2018, v. 25, n. 2, p. 315, doi. 10.5194/npg-25-315-2018
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- Article
What eddy-covariance measurements tell us about prior land flux errors in CO<sub>2</sub>-flux inversion schemes.
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- Global Biogeochemical Cycles, 2012, v. 26, n. 1, p. 1, doi. 10.1029/2010GB003974
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A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation.
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- Monthly Weather Review, 2020, v. 148, n. 10, p. 3973, doi. 10.1175/MWR-D-19-0240.1
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- Article
Beyond Gaussian Statistical Modeling in Geophysical Data Assimilation.
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- Monthly Weather Review, 2010, v. 138, n. 8, p. 2997, doi. 10.1175/2010MWR3164.1
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Quantification of the modelling uncertainties in atmospheric release source assessment and application to the reconstruction of the autumn 2017 Ruthenium 106 source.
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- Atmospheric Chemistry & Physics Discussions, 2021, p. 1, doi. 10.5194/acp-2020-1129
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- Article
Representation learning with unconditional denoising diffusion models for dynamical systems.
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- Nonlinear Processes in Geophysics Discussions, 2023, p. 1, doi. 10.5194/egusphere-2023-2261
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Bridging classical data assimilation and optimal transport.
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- Nonlinear Processes in Geophysics Discussions, 2023, p. 1, doi. 10.5194/egusphere-2023-2755
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- Article
Data assimilation as a deep learning tool to infer ODE representations of dynamical models.
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- Nonlinear Processes in Geophysics Discussions, 2019, p. 1, doi. 10.5194/npg-2019-7
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- Article
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error.
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- Nonlinear Processes in Geophysics Discussions, 2018, p. 1, doi. 10.5194/npg-2018-4
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- Publication type:
- Article
Review article: Comparison of local particle filters and new implementations.
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- Nonlinear Processes in Geophysics Discussions, 2018, p. 1, doi. 10.5194/npg-2018-15
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- Publication type:
- Article
Parametric covariance dynamics for the nonlinear diffusive Burgers' equation.
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- Nonlinear Processes in Geophysics Discussions, 2018, p. 1, doi. 10.5194/npg-2018-10
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- Article
On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments.
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- Geoscientific Model Development Discussions, 2019, p. 1, doi. 10.5194/gmd-2019-258
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- Article
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model.
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- Geoscientific Model Development Discussions, 2019, p. 1, doi. 10.5194/gmd-2019-136
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- Article
New plume comparison metrics for the inversion of passive gases emissions.
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- Atmospheric Measurement Techniques Discussions, 2022, p. 1, doi. 10.5194/amt-2022-226
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- Article
Quantification of uncertainties in the assessment of an atmospheric release source applied to the autumn 2017 106Ru event.
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- Atmospheric Chemistry & Physics, 2021, v. 21, n. 17, p. 13247, doi. 10.5194/acp-21-13247-2021
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Diagnosing spatial error structures in CO2 mole fractions and XCO2 column mole fractions from atmospheric transport.
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- Atmospheric Chemistry & Physics, 2019, v. 19, n. 18, p. 12007, doi. 10.5194/acp-19-12007-2019
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Calibration of a multi-physics ensemble for estimating the uncertainty of a greenhouse gas atmospheric transport model.
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- Atmospheric Chemistry & Physics, 2019, v. 19, n. 8, p. 5695, doi. 10.5194/acp-19-5695-2019
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- Article
Improving Numerical Dispersion Modelling in Built Environments with Data Assimilation Using the Iterative Ensemble Kalman Smoother.
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- Boundary-Layer Meteorology, 2021, v. 179, n. 2, p. 209, doi. 10.1007/s10546-020-00588-9
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Online Model Error Correction With Neural Networks in the Incremental 4D‐Var Framework.
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- Journal of Advances in Modeling Earth Systems, 2023, v. 15, n. 9, p. 1, doi. 10.1029/2022MS003474
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- Article
Toward Optimal Choices of Control Space Representation for Geophysical Data Assimilation.
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- Monthly Weather Review, 2009, v. 137, n. 7, p. 2331, doi. 10.1175/2009MWR2789.1
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- Article
Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential.
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- Frontiers in Neuroscience, 2022, v. 16, p. 1, doi. 10.3389/fnins.2022.983950
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Data assimilation in the geosciences: An overview of methods, issues, and perspectives.
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- WIREs: Climate Change, 2018, v. 9, n. 5, p. 1, doi. 10.1002/wcc.535
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Accounting for meteorological biases in simulated plumes using smarter metrics.
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- Atmospheric Measurement Techniques, 2023, v. 16, n. 6, p. 1745, doi. 10.5194/amt-16-1745-2023
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On the efficiency of covariance localisation of the ensemble Kalman filter using augmented ensembles.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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- Article
MCMC methods applied to the reconstruction of the autumn 2017 106Ru atmospheric contamination source term.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Combining Data Assimilation and Machine Learning to emulate a numerical model from noisy and sparse observations.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Data-driven inference of the ordinary differential equation representation of a chaotic dynamical model using data assimilation.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Data Assimilation for Chaotic Geophysical Dynamics - An Overview.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Parametric Kalman filter : toward an alternative to the EnKF ?
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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- Article
Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays.
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- Frontiers in Neuroscience, 2020, v. 13, p. 1, doi. 10.3389/fnins.2019.01383
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Using machine learning to correct model error in data assimilation and forecast applications.
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- Quarterly Journal of the Royal Meteorological Society, 2021, v. 147, n. 739, p. 3067, doi. 10.1002/qj.4116
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Estimating model evidence using ensemble‐based data assimilation with localization – The model selection problem.
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- Quarterly Journal of the Royal Meteorological Society, 2019, v. 145, n. 721, p. 1571, doi. 10.1002/qj.3513
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- Article
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures.
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- Quarterly Journal of the Royal Meteorological Society, 2019, v. 145, n. 718, p. 53, doi. 10.1002/qj.3386
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- Article
An iterative ensemble Kalman filter in the presence of additive model error.
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- Quarterly Journal of the Royal Meteorological Society, 2018, v. 144, n. 713, p. 1297, doi. 10.1002/qj.3213
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High-resolution reconstruction of a tracer dispersion event: application to ETEX.
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- Quarterly Journal of the Royal Meteorological Society, 2007, v. 133, n. 625, p. 1013, doi. 10.1002/qj.64
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Source reconstruction of an accidental radionuclide release at European scale.
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- Quarterly Journal of the Royal Meteorological Society, 2007, v. 133, n. 623, p. 529, doi. 10.1002/qj.3
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Reconstruction of an atmospheric tracer source using the principle of maximum entropy. I: Theory.
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- Quarterly Journal of the Royal Meteorological Society, 2005, v. 131, n. 610, p. 2191, doi. 10.1256/qj.04.67
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Reconstruction of an atmospheric tracer source using the principle of maximum entropy. II: Applications.
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- Quarterly Journal of the Royal Meteorological Society, 2005, v. 131, n. 610, p. 2209, doi. 10.1256/qj.04.68
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- Article
Calibration of a multi-physics ensemble for greenhouse gas atmospheric transport model uncertainty estimation.
- Published in:
- Atmospheric Chemistry & Physics Discussions, 2018, p. 1, doi. 10.5194/acp-2018-1117
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- Publication type:
- Article
Pushing the frontiers in climate modelling and analysis with machine learning.
- Published in:
- Nature Climate Change, 2024, v. 14, n. 9, p. 916, doi. 10.1038/s41558-024-02095-y
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- Article
Deep learning applied to CO2 power plant emissions quantification using simulated satellite images.
- Published in:
- Geoscientific Model Development, 2024, v. 17, n. 5, p. 1995, doi. 10.5194/gmd-17-1995-2024
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- Publication type:
- Article