The ChemCam instrument suite on the Mars Science Laboratory (MSL) rover: Science objectives and mast unit description S Maurice, RC Wiens, M Saccoccio, B Barraclough, O Gasnault, O Forni, ... Space science reviews 170, 95-166, 2012 | 541 | 2012 |
The SuperCam instrument suite on the Mars 2020 rover: Science objectives and mast-unit description S Maurice, RC Wiens, P Bernardi, P Caïs, S Robinson, T Nelson, ... Space Science Reviews 217, 1-108, 2021 | 241 | 2021 |
Extremal black holes, nilpotent orbits and the true fake superpotential G Bossard, Y Michel, B Pioline Journal of High Energy Physics 2010 (1), 1-66, 2010 | 111 | 2010 |
Linear filtering of sample covariances for ensemble-based data assimilation. Part I: Optimality criteria and application to variance filtering and covariance localization B Ménétrier, T Montmerle, Y Michel, L Berre Monthly Weather Review 143 (5), 1622-1643, 2015 | 106 | 2015 |
Heterogeneous convective-scale background error covariances with the inclusion of hydrometeor variables Y Michel, T Auligné, T Montmerle Monthly Weather Review 139 (9), 2994-3015, 2011 | 84 | 2011 |
Hypervelocity impacts on thin brittle targets: experimental data and SPH simulations Y Michel, JM Chevalier, C Durin, C Espinosa, F Malaise, JJ Barrau International Journal of Impact Engineering 33 (1-12), 441-451, 2006 | 67 | 2006 |
Decrypting third body flows to solve dry lubrication issue–MoS2 case study under ultrahigh vacuum G Colas, A Saulot, C Godeau, Y Michel, Y Berthier Wear 305 (1-2), 192-204, 2013 | 57 | 2013 |
High Performance Space Lubrication of MoS2 with Tantalum P Serles, E Nicholson, J Tam, N Barri, JB Chemin, G Wang, Y Michel, ... Advanced Functional Materials 32 (20), 2110429, 2022 | 49 | 2022 |
Linear filtering of sample covariances for ensemble-based data assimilation. Part II: Application to a convective-scale NWP model B Ménétrier, T Montmerle, Y Michel, L Berre Monthly Weather Review 143 (5), 1644-1664, 2015 | 43 | 2015 |
A 3D ensemble variational data assimilation scheme for the limited‐area AROME model: Formulation and preliminary results T Montmerle, Y Michel, E Arbogast, B Ménétrier, P Brousseau Quarterly Journal of the Royal Meteorological Society 144 (716), 2196-2215, 2018 | 40 | 2018 |
Toward a new cloud analysis and prediction system T Auligné, A Lorenc, Y Michel, T Montmerle, A Jones, M Hu, J Dudhia Bulletin of the American meteorological society 92 (2), 207-210, 2011 | 39 | 2011 |
Inhomogeneous background error modeling and estimation over Antarctica Y Michel, T Auligné Monthly Weather Review 138 (6), 2229-2252, 2010 | 38 | 2010 |
Improvement of numerical weather prediction model analysis during fog conditions through the assimilation of ground-based microwave radiometer observations: a 1D-Var study P Martinet, D Cimini, F Burnet, B Ménétrier, Y Michel, V Unger Atmospheric Measurement Techniques 13 (12), 6593-6611, 2020 | 37 | 2020 |
Estimation and diagnosis of heterogeneous flow‐dependent background‐error covariances at the convective scale using either large or small ensembles B Ménétrier, T Montmerle, L Berre, Y Michel Quarterly Journal of the Royal Meteorological Society 140 (683), 2050-2061, 2014 | 36 | 2014 |
How far does contamination help dry lubrication efficiency? G Colas, A Saulot, N Bouscharain, C Godeau, Y Michel, Y Berthier Tribology International 65, 177-189, 2013 | 34 | 2013 |
Improving background error covariances in a 3D ensemble–variational data assimilation system for regional NWP JF Caron, Y Michel, T Montmerle, É Arbogast Monthly Weather Review 147 (1), 135-151, 2019 | 32 | 2019 |
Modelling spatially correlated observation errors in variational data assimilation using a diffusion operator on an unstructured mesh O Guillet, AT Weaver, X Vasseur, Y Michel, S Gratton, S Gürol Quarterly Journal of the Royal Meteorological Society 145 (722), 1947-1967, 2019 | 30 | 2019 |
Estimating deformations of random processes for correlation modelling: methodology and the one‐dimensional case Y Michel Quarterly Journal of the Royal Meteorological Society 139 (672), 771-783, 2013 | 27 | 2013 |
Revisiting Fisher's approach to the handling of horizontal spatial correlations of observation errors in a variational framework Y Michel Quarterly Journal of the Royal Meteorological Society 144 (716), 2011-2025, 2018 | 25 | 2018 |
Estimating optimal localization for sampled background‐error covariances of hydrometeor variables M Destouches, T Montmerle, Y Michel, B Ménétrier Quarterly Journal of the Royal Meteorological Society 147 (734), 74-93, 2021 | 20 | 2021 |