Alban Farchi
Alban Farchi
Verified email at enpc.fr
Title
Cited by
Cited by
Year
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
402015
Comparison of local particle filters and new implementations
A Farchi, M Bocquet
Nonlinear Processes in Geophysics 25 (4), 765-807, 2018
272018
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
172019
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
132016
Using machine learning to correct model error in data assimilation and forecast applications
A Farchi, P Laloyaux, M Bonavita, M Bocquet
arXiv preprint arXiv:2010.12605, 2020
72020
Online learning of both state and dynamics using ensemble Kalman filters
M Bocquet, A Farchi, Q Malartic
arXiv preprint arXiv:2006.03859, 2020
52020
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
52020
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
52019
Localisation in particle filters: methods comparison and improvements
A Farchi, M Bocquet
EGU General Assembly Conference Abstracts 20, 7139, 2018
2018
Exploring machine learning for data assimilation
A Farchi, P Laloyaux, M Bonavita, M Bocquet
On the efficiency and consitency of covariance localisation in the EnKF
A Farchi, M Bocquet
Implementing localisation in particle filters
A Farchi, M Bocquet
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Articles 1–12