| 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 | 146 | 2023 |
| 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 | 127 | 2021 |
| Comparison of local particle filters and new implementations A Farchi, M Bocquet Nonlinear Processes in Geophysics 25 (4), 765-807, 2018 | 75 | 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 | 45 | 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 | 39 | 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 | 37 | 2021 |
| Online learning of both state and dynamics using ensemble Kalman filters M Bocquet, A Farchi, Q Malartic arXiv preprint arXiv:2006.03859, 2020 | 34 | 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 | 23 | 2023 |
| 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 | 23 | 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 | 22 | 2022 |
| 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 | 19 | 2023 |
| 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 | 14 | 2020 |
| 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 | 12 | 2023 |
| 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 | 10 | 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 | 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 | 6 | 2019 |
| Deep learning applied to CO2 power plant emissions quantification using simulated satellite images JD Le Brazidec, P Vanderbecken, A Farchi, G Broquet, G Kuhlmann, ... | 6* | |
| Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants JD Le Brazidec, P Vanderbecken, A Farchi, M Bocquet, J Lian, G Broquet, ... Geoscientific Model Development 16 (13), 3997-4016, 2023 | 5 | 2023 |
| 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 | 3 | 2023 |
