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Marc Bocquet
Marc Bocquet
École des Ponts, Institut Polytechnique de Paris, CEREA
Verified email at enpc.fr - Homepage
Title
Cited by
Cited by
Year
Data assimilation in the geosciences: An overview of methods, issues, and perspectives
A Carrassi, M Bocquet, L Bertino, G Evensen
Wiley Interdisciplinary Reviews: Climate Change 9 (5), e535, 2018
6212018
Data assimilation: methods, algorithms, and applications
M Asch, M Bocquet, M Nodet
Society for Industrial and Applied Mathematics, 2016
5922016
Real-time air quality forecasting, part I: History, techniques, and current status
Y Zhang, M Bocquet, V Mallet, C Seigneur, A Baklanov
Atmospheric environment 60, 632-655, 2012
4922012
Rotating neutron star models with magnetic field
M Bocquet, S Bonazzola, E Gourgoulhon, J Novak
arXiv preprint gr-qc/9503044, 1995
4761995
On the representation error in data assimilation
T Janjić, N Bormann, M Bocquet, JA Carton, SE Cohn, SL Dance, ...
Quarterly Journal of the Royal Meteorological Society 144 (713), 1257-1278, 2018
3122018
Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models
M Bocquet, H Elbern, H Eskes, M Hirtl, R Žabkar, GR Carmichael, ...
Atmospheric chemistry and physics 15 (10), 5325-5358, 2015
3052015
Beyond Gaussian statistical modeling in geophysical data assimilation
M Bocquet, CA Pires, L Wu
Monthly Weather Review 138 (8), 2997-3023, 2010
2822010
Real-time air quality forecasting, part II: State of the science, current research needs, and future prospects
Y Zhang, M Bocquet, V Mallet, C Seigneur, A Baklanov
Atmospheric Environment 60, 656-676, 2012
2372012
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model
J Brajard, A Carrassi, M Bocquet, L Bertino
Journal of computational science 44, 101171, 2020
2302020
An iterative ensemble Kalman smoother
M Bocquet, P Sakov
Quarterly Journal of the Royal Meteorological Society 140 (682), 1521-1535, 2014
1932014
An inverse modeling method to assess the source term of the Fukushima Nuclear Power Plant accident using gamma dose rate observations
O Saunier, A Mathieu, D Didier, M Tombette, D Quélo, V Winiarek, ...
Atmospheric Chemistry and Physics 13 (22), 11403-11421, 2013
1902013
Estimation of errors in the inverse modeling of accidental release of atmospheric pollutant: Application to the reconstruction of the cesium‐137 and iodine‐131 source terms …
V Winiarek, M Bocquet, O Saunier, A Mathieu
Journal of Geophysical Research: Atmospheres 117 (D5), 2012
1732012
Disordered 2d quasiparticles in class D: Dirac fermions with random mass, and dirty superconductors
M Bocquet, D Serban, MR Zirnbauer
Nuclear Physics B 578 (3), 628-680, 2000
1432000
Combining data assimilation and machine learning to infer unresolved scale parametrization
J Brajard, A Carrassi, M Bocquet, L Bertino
Philosophical Transactions of the Royal Society A 379 (2194), 20200086, 2021
1332021
Assessment of the amount of cesium‐137 released into the Pacific Ocean after the Fukushima accident and analysis of its dispersion in Japanese coastal waters
C Estournel, E Bosc, M Bocquet, C Ulses, P Marsaleix, V Winiarek, ...
Journal of Geophysical Research: Oceans 117 (C11), 2012
1302012
Finite-temperature dynamical magnetic susceptibility of quasi-one-dimensional frustrated spin-1 2 Heisenberg antiferromagnets
M Bocquet, FHL Essler, AM Tsvelik, AO Gogolin
Physical Review B 64 (9), 094425, 2001
1282001
Ensemble Kalman filtering without the intrinsic need for inflation
M Bocquet
Nonlinear Processes in Geophysics 18 (5), 735-750, 2011
1232011
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization
M Bocquet, J Brajard, A Carrassi, L Bertino
arXiv preprint arXiv:2001.06270, 2020
1222020
Inverse modelling-based reconstruction of the Chernobyl source term available for long-range transport
X Davoine, M Bocquet
Atmospheric Chemistry and Physics 7 (6), 1549-1564, 2007
1212007
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
1162023
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