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Author

Alban Farchi

Observed names: A. Farchi, Farchi, Alban
Observed institutions: Centre National de la Recherche Scientifique, École Polytechnique, École nationale des ponts et chaussées, European Centre for Medium-Range Weather Forecasts, Université Paris Sciences et Lettres, Paris-Est Sup, École Normale Supérieure - PSL, Sorbonne Université, Centre d'Enseignement et de Recherche en Environnement Atmosphérique, Électricité de France (France), Institut Polytechnique de Paris, Pôle de recherche et d'enseignement supérieur Université Paris-Est
ORCID: 0000-0002-4162-8289
Observed ORCID: 0000-0002-4162-8289
OpenAlex ID: A5018870567
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
2023 · Sibo Cheng, César Quilodrán-Casas, et al. · IEEE/CAA Journal of Automatica Sinica · 357
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Using machine learning to correct model error in data assimilation and forecast applications
2021 · Alban Farchi, Patrick Laloyaux, et al. · Quarterly Journal of the Royal Meteorological Society · 187
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Review article: Comparison of local particle filters and new implementations
2018 · Alban Farchi, Marc Bocquet · Nonlinear processes in geophysics · 91
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A comparison of combined data assimilation and machine learning methods for offline and online model error correction
2021 · Alban Farchi, Marc Bocquet, et al. · Journal of Computational Science · 64
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Using the Wasserstein distance to compare fields of pollutants: application to the radionuclide atmospheric dispersion of the Fukushima-Daiichi accident
2016 · Alban Farchi, Marc Bocquet, et al. · Tellus B · 58
Precision reconstruction of the cold dark matter-neutrino relative velocity from N -body simulations
2015 · Derek Inman, J. D. Emberson, et al. · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields · 58
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Online Model Error Correction With Neural Networks in the Incremental 4D‐Var Framework
2023 · Alban Farchi, Marcin Chrust, et al. · Journal of Advances in Modeling Earth Systems · 56
On the Efficiency of Covariance Localisation of the Ensemble Kalman Filter Using Augmented Ensembles
2019 · Alban Farchi, Marc Bocquet · Frontiers in Applied Mathematics and Statistics · 51
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Online learning of both state and dynamics using ensemble Kalman filters
2020 · Marc Bocquet, Alban Farchi, et al. · Foundations of Data Science · 47
An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation
2020 · Geir Evensen, Javier Amezcua, et al. · Foundations of Data Science · 40
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Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic
2024 · Charlotte Durand, Tobias Sebastian Finn, et al. · The Cryosphere · 30
Deep learning applied to CO 2 power plant emissions quantification using simulated satellite images
2024 · Joffrey Dumont Le Brazidec, Pierre Vanderbecken, et al. · Geoscientific model development · 28
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Development of an offline and online hybrid model for the Integrated Forecasting System
2025 · Alban Farchi, Marcin Chrust, et al. · Quarterly Journal of the Royal Meteorological Society · 27
Generative Diffusion for Regional Surrogate Models From Sea‐Ice Simulations
2024 · Tobias Sebastian Finn, Charlotte Durand, et al. · Journal of Advances in Modeling Earth Systems · 27
Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology
2023 · Tobias Sebastian Finn, Charlotte Durand, et al. · The Cryosphere · 26
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Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble
2024 · Marc Bocquet, Alban Farchi, et al. · Chaos An Interdisciplinary Journal of Nonlinear Science · 22
Segmentation of XCO 2 images with deep learning: application to synthetic plumes from cities and power plants
2023 · Joffrey Dumont Le Brazidec, Pierre Vanderbecken, et al. · Geoscientific model development · 19
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Representation learning with unconditional denoising diffusion models for dynamical systems
2024 · Tobias Sebastian Finn, Lucas Disson, et al. · Nonlinear processes in geophysics · 17
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Bridging classical data assimilation and optimal transport: the 3D-Var case
2024 · Marc Bocquet, Pierre J. Vanderbecken, et al. · Nonlinear processes in geophysics · 14
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Accounting for meteorological biases in simulated plumes using smarter metrics
2023 · Pierre J. Vanderbecken, Joffrey Dumont Le Brazidec, et al. · Atmospheric measurement techniques · 12
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Evaluating Numerical Weather Prediction Models in the Middle Atmosphere Using Coherent Oceanic Acoustic Noise Observations
2024 · P. Letournel, C. Listowski, et al. · Journal of Geophysical Research Atmospheres · 10
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Towards diffusion models for large-scale sea-ice modelling
2024 · Finn, Tobias Sebastian, Durand, Charlotte, et al. · arXiv (Cornell University) · 10
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Using machine learning to correct model error in data assimilation and forecast applications
2021 · Alban Farchi, Patrick Laloyaux, et al. · EGU General Assembly Conference Abstracts · 10
On the consistency of the local ensemble square root Kalman filter perturbation update
2019 · Marc Bocquet, Alban Farchi · Tellus A Dynamic Meteorology and Oceanography · 10
Generative AI models capture realistic sea-ice evolution from days to decades
2025 · Finn, Tobias Sebastian, Bocquet, Marc, et al. · arXiv (Cornell University) · 9
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Works count: 77
Citation count: 1,326
H-index: 17
I10-index: 24
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