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A. Farchi · SciRah

Researcher profile · Semantic Scholar

A. Farchi

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A. Farchi — researcher profile on SciRah

h-index: 16
Works: 48
Citations: 1,097

Most-cited papers

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
Sibo Cheng, César Quilodrán-Casas, Said Ouala, A. Farchi +13 more
2023IEEE/CAA Journal of Automatica Sinica305 citations Open access
Semantic Scholar
Using machine learning to correct model error in data assimilation and forecast applications
A. Farchi, P. Laloyaux, M. Bonavita, M. Bocquet
2020Quarterly Journal of the Royal Meteorological Society160 citations Open access
Semantic Scholar
Review article: Comparison of local particle filters and new implementations
A. Farchi, M. Bocquet
2018Nonlinear Processes in Geophysics80 citations Open access
Semantic Scholar
A comparison of combined data assimilation and machine learning methods for offline and online model error correction
A. Farchi, M. Bocquet, P. Laloyaux, M. Bonavita +1 more
2021Journal of Computer Science57 citations Open access
Semantic Scholar
Precision reconstruction of the cold dark matter-neutrino relative velocity from N -body simulations
D. Inman, J. D. Emberson, U. Pen, A. Farchi +2 more
201545 citations Open access
Semantic Scholar
On the Efficiency of Covariance Localisation of the Ensemble Kalman Filter Using Augmented Ensembles
A. Farchi, M. Bocquet
2019Frontiers in Applied Mathematics and Statistics41 citations Open access
Semantic Scholar
Online Model Error Correction With Neural Networks in the Incremental 4D‐Var Framework
A. Farchi, M. Chrust, M. Bocquet, P. Laloyaux +1 more
2022Journal of Advances in Modeling Earth Systems40 citations Open access
Semantic Scholar
Online learning of both state and dynamics using ensemble Kalman filters
M. Bocquet, A. Farchi, Quentin Malartic
2020Foundations of Data Science36 citations Open access
Semantic Scholar
Using the Wasserstein distance to compare fields of pollutants: application to the radionuclide atmospheric dispersion of the Fukushima-Daiichi accident
A. Farchi, M. Bocquet, Y. Roustan, A. Mathieu +1 more
201634 citations Open access
Semantic Scholar
Generative Diffusion for Regional Surrogate Models From Sea‐Ice Simulations
T. S. Finn, Charlotte Durand, A. Farchi, M. Bocquet +2 more
2024Journal of Advances in Modeling Earth Systems30 citations Open access
Semantic Scholar
State, global, and local parameter estimation using local ensemble Kalman filters: Applications to online machine learning of chaotic dynamics
Quentin Malartic, A. Farchi, M. Bocquet
2021Quarterly Journal of the Royal Meteorological Society30 citations Open access
Semantic Scholar
Deep learning applied to CO2 power plant emissions quantification using simulated satellite images
Joffrey Dumont le Brazidec, P. Vanderbecken, A. Farchi, G. Broquet +2 more
2024Geoscientific Model Development26 citations Open access
Semantic Scholar
Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic
Charlotte Durand, T. Finn, A. Farchi, M. Bocquet +2 more
2024The Cryosphere25 citations Open access
Semantic Scholar
An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation
G. Evensen, Javier Amezcua, M. Bocquet, A. Carrassi +8 more
2020Foundations of Data Science22 citations Open access
Semantic Scholar
Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble.
M. Bocquet, A. Farchi, T. Finn, Charlotte Durand +4 more
2024Chaos19 citations Open access
Semantic Scholar
Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology
T. Finn, Charlotte Durand, A. Farchi, M. Bocquet +3 more
2023The Cryosphere19 citations Open access
Semantic Scholar
Development of an offline and online hybrid model for the Integrated Forecasting System
A. Farchi, M. Chrust, M. Bocquet, Massimo Bonavita
2024Quarterly Journal of the Royal Meteorological Society18 citations Open access
Semantic Scholar
An international assessment of the COVID-19 pandemic using ensemble data assimilation
G. Evensen, Javier Amezcua, M. Bocquet, A. Carrassi +8 more
2020medRxiv13 citations Open access
Semantic Scholar
Representation learning with unconditional denoising diffusion models for dynamical systems
T. Finn, Lucas Disson, A. Farchi, M. Bocquet +1 more
2024Nonlinear Processes in Geophysics12 citations Open access
Semantic Scholar
Bridging classical data assimilation and optimal transport: the 3D-Var case
M. Bocquet, P. Vanderbecken, A. Farchi, Joffrey Dumont le Brazidec +1 more
2024Nonlinear Processes in Geophysics10 citations Open access
Semantic Scholar
Accounting for meteorological biases in simulated plumes using smarter metrics
P. Vanderbecken, Joffrey Dumont le Brazidec, A. Farchi, M. Bocquet +3 more
2023Atmospheric Measurement Techniques10 citations Open access
Semantic Scholar
Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants
Joffrey Dumont le Brazidec, P. Vanderbecken, A. Farchi, M. Bocquet +5 more
2023Geoscientific Model Development8 citations Open access
Semantic Scholar
Four-dimensional variational data assimilation with a sea-ice thickness emulator
Charlotte Durand, T. S. Finn, A. Farchi, M. Bocquet +2 more
2025The Cryosphere7 citations Open access
Semantic Scholar
Evaluating Numerical Weather Prediction Models in the Middle Atmosphere Using Coherent Oceanic Acoustic Noise Observations
P. Letournel, C. Listowski, M. Bocquet, A. Le Pichon +1 more
2024Journal of Geophysical Research - Atmospheres7 citations Open access
Semantic Scholar
Generative AI models capture realistic sea-ice evolution from days to decades
T. S. Finn, M. Bocquet, P. Rampal, Charlotte Durand +3 more
20256 citations
Semantic Scholar
Towards diffusion models for large-scale sea-ice modelling
T. Finn, Charlotte Durand, A. Farchi, M. Bocquet +1 more
2024arXiv.org6 citations
Semantic Scholar
“Machine Learning for Data Assimilation”
D. Hotta, Quentin Malartic, A. Farchi, M. Bocquet +12 more
20215 citations
Semantic Scholar
On the consistency of the local ensemble square root Kalman filter perturbation update
M. Bocquet, A. Farchi
2019Tellus A: Dynamic Meteorology and Oceanography5 citations Open access
Semantic Scholar
Quantification of CO2 hotspot emissions from OCO-3 SAM CO2 satellite images using deep learning methods
Joffrey Dumont le Brazidec, P. Vanderbecken, A. Farchi, G. Broquet +2 more
2025Geoscientific Model Development4 citations Open access
Semantic Scholar
Probabilistic Data Assimilation for Ensemble Distribution Projections With Generative Machine Learning: A Lorenz ’96 Proof‐of‐Concept
Shuolin Li, Tian Zheng, A. Farchi, M. Bocquet +1 more
2025Geophysical Research Letters4 citations Open access
Semantic Scholar
Physics-informed neural networks for atmospheric flow modeling of pollutant dispersion in industrial sites
Armand de Villeroché, V. Le Guen, Rem-Sophia Mouradi, P. Massin +4 more
2026Air quality, atmosphere and health3 citations Open access
Semantic Scholar
Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments
Armand de Villeroché, Rem-Sophia Mouradi, V. Le Guen, Si-Bo Cheng +4 more
2026arXiv.org2 citations
Semantic Scholar
New plume comparison metrics for the inversion of passive gases emissions
P. Vanderbecken, J. D. Le Brazidec, A. Farchi, M. Bocquet +3 more
20222 citations
Semantic Scholar
Seven-Year Evolution of β-Lactam Resistance Phenotypes in Escherichia coli Isolated from Young Diarrheic and Septicaemic Calves in Belgium
V. Guérin, A. Farchi, D. Thiry, F. Cawez +4 more
2022Veterinary Sciences2 citations Open access
Semantic Scholar
State, global and local parameter estimation using ensemble Kalman ﬁlters for model error correction
M. Bocquet, Quentin Malartic, A. Farchi
20212 citations
Semantic Scholar
Model error correction with data assimilation and machine learning
A. Farchi, M. Bocquet, M. Bonavita, P. Laloyaux
20212 citations
Semantic Scholar
Zero-shot generalization of transformer neural operators to larger domains
Armand de Villeroché, Sibo Cheng, V. Le Guen, M. Bocquet +4 more
2026arXiv.org1 citations
Semantic Scholar
Elucidating the performance of data assimilation neural networks for chaotic dynamics
M. Bocquet, T. S. Finn, Si-Bo Cheng, A. Farchi
2026Nonlinear Processes in Geophysics1 citations Open access
Semantic Scholar
Online model error correction with neural networks: application to the Integrated Forecasting System
A. Farchi, M. Chrust, M. Bocquet, Massimo Bonavita
2024arXiv.org1 citations
Semantic Scholar
A three-year evolution and comparison of the blaCTX-M genes in pathogenic and non-pathogenic Escherichia coli isolated from young diarrheic and septicaemic calves in Belgium.
V. Guérin, A. Farchi, F. Cawez, P. Mercuri +5 more
2022Research in Veterinary Science1 citations
Semantic Scholar
Response to reviewer 1
A. Farchi, M. Bocquet
20171 citations Open access
Semantic Scholar
Comment on npg-2021-32
A. Farchi
20210 citations Open access
Semantic Scholar
State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics
Quentin Malartic, M. Bocquet, A. Farchi
2021arXiv.org0 citations Open access
Semantic Scholar
Interactive comment on “ Review article : Comparison of local particle filters and new implementations ” by Alban Farchi and Marc Bocquet
A. Farchi, M. Bocquet
20180 citations
Semantic Scholar
Response to reviewer 2
A. Farchi
20180 citations Open access
Semantic Scholar
Response to reviewer 1
A. Farchi
20180 citations Open access
Semantic Scholar
Localisation des méthodes d'assimilation de donnée d'ensemble
A. Farchi
0 citations Open access
Semantic Scholar
Simulated plumes freed from meteorology biases using smarter metrics? – response to the reviewers
P. Vanderbecken, J. Dumont, Le Brazidec, A. Farchi +4 more
0 citations
Semantic Scholar

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