Using machine learning to correct model error in data assimilation and forecast applications A Farchi, P Laloyaux, M Bonavita, M Bocquet
Quarterly Journal of the Royal Meteorological Society 147 (739), 3067-3084, 2021
99 2021 Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review S Cheng, C Quilodrán-Casas, S Ouala, A Farchi, C Liu, P Tandeo, ...
IEEE/CAA Journal of Automatica Sinica 10 (6), 1361-1387, 2023
65 2023 Comparison of local particle filters and new implementations A Farchi, M Bocquet
Nonlinear Processes in Geophysics 25 (4), 765-807, 2018
64 2018 Precision reconstruction of the cold dark matter-neutrino relative velocity from -body simulations D Inman, JD Emberson, UL Pen, A Farchi, HR Yu, J Harnois-Déraps
Physical Review D 92 (2), 023502, 2015
60 2015 On the efficiency of covariance localisation of the ensemble Kalman filter using augmented ensembles A Farchi, M Bocquet
Frontiers in Applied Mathematics and Statistics 5, 3, 2019
38 2019 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, A Quérel
Tellus B: Chemical and Physical Meteorology 68 (1), 31682, 2016
31 2016 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, Q Malartic
Journal of computational science 55, 101468, 2021
30 2021 Online learning of both state and dynamics using ensemble Kalman filters M Bocquet, A Farchi, Q Malartic
arXiv preprint arXiv:2006.03859, 2020
23 2020 An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation G Evensen, J Amezcua, M Bocquet, A Carrassi, A Farchi, A Fowler, ...
Foundations of Data Science 3 (3), 413-477, 2021
21 2021 State, global, and local parameter estimation using local ensemble Kalman filters: Applications to online machine learning of chaotic dynamics Q Malartic, A Farchi, M Bocquet
Quarterly Journal of the Royal Meteorological Society 148 (746), 2167-2193, 2022
16 2022 An international assessment of the COVID-19 pandemic using ensemble data assimilation G Evensen, J Amezcua, M Bocquet, A Carrassi, A Farchi, A Fowler, ...
medRxiv, 2020.06. 11.20128777, 2020
15 2020 Online Model Error Correction With Neural Networks in the Incremental 4D‐Var Framework A Farchi, M Chrust, M Bocquet, P Laloyaux, M Bonavita
Journal of Advances in Modeling Earth Systems 15 (9), e2022MS003474, 2023
13 2023 Deep learning of subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell-Elasto-Brittle rheology TS Finn, C Durand, A Farchi, M Bocquet, Y Chen, A Carrassi, ...
EGUsphere, 1-39, 2023
9 2023 On the consistency of the local ensemble square root Kalman filter perturbation update M Bocquet, A Farchi
Tellus A: Dynamic Meteorology and Oceanography 71 (1), 1613142, 2019
7 2019 Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants J Dumont Le Brazidec, P Vanderbecken, A Farchi, M Bocquet, J Lian, ...
Geoscientific Model Development Discussions 2022, 1-29, 2022
6 2022 Accounting for meteorological biases in simulated plumes using smarter metrics PJ Vanderbecken, J Dumont Le Brazidec, A Farchi, M Bocquet, ...
Atmospheric Measurement Techniques 16 (6), 1745-1766, 2023
5 2023 Deep learning applied to CO2 power plant emissions quantification using simulated satellite images J Dumont Le Brazidec, P Vanderbecken, A Farchi, G Broquet, ...
Geoscientific Model Development Discussions 2023, 1-30, 2023
4 2023 On the localisation of ensemble data assimilation methods A Farchi
Paris Est, 2019
4 2019 Representation learning with unconditional denoising diffusion models for dynamical systems TS Finn, L Disson, A Farchi, M Bocquet, C Durand
EGUsphere 2023, 1-39, 2023
2 2023 Segmentation of XCO images with deep learning: application to synthetic plumes from cities and power plants J Dumont Le Brazidec, P Vanderbecken, A Farchi, M Bocquet, J Lian, ...
Geoscientific Model Development 16 (13), 3997-4016, 2023
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