| B‐preconditioned minimization algorithms for variational data assimilation with the dual formulation S Gürol, AT Weaver, AM Moore, A Piacentini, HG Arango, S Gratton Quarterly Journal of the Royal Meteorological Society 140 (679), 539-556, 2014 | 78 | 2014 |
| Parallelization in the time dimension of four‐dimensional variational data assimilation M Fisher, S Gürol Quarterly Journal of the Royal Meteorological Society 143 (703), 1136-1147, 2017 | 51 | 2017 |
| A 4D-Var analysis system for the California Current: A prototype for an operational regional ocean data assimilation system AM Moore, CA Edwards, J Fiechter, P Drake, E Neveu, HG Arango, ... Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol …, 2013 | 36 | 2013 |
| Latent space data assimilation by using deep learning M Peyron, A Fillion, S Gürol, V Marchais, S Gratton, P Boudier, G Goret Quarterly Journal of the Royal Meteorological Society 147 (740), 3759-3777, 2021 | 34 | 2021 |
| Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method J Mandel, E Bergou, S Gürol, S Gratton, I Kasanický Nonlinear Processes in Geophysics 23 (2), 59-73, 2016 | 29 | 2016 |
| Tuz Gölü: New absolute radiometric calibration test site S Gürol, H Özen, UM Leloğlu, E Tunalı ISPRS Congress, Beijing, China, 3-11, 2008 | 26 | 2008 |
| 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 | 25 | 2019 |
| Exploring the potential and limitations of weak‐constraint 4D‐Var P Laloyaux, M Bonavita, M Chrust, S Gürol Quarterly Journal of the Royal Meteorological Society 146 (733), 4067-4082, 2020 | 22 | 2020 |
| Guaranteeing the convergence of the saddle formulation for weakly constrained 4D‐Var data assimilation S Gratton, S Gürol, E Simon, PL Toint Quarterly Journal of the Royal Meteorological Society 144 (717), 2592-2602, 2018 | 22 | 2018 |
| Low rank updates in preconditioning the saddle point systems arising from data assimilation problems M Fisher, S Gratton, S Gürol, Y Trémolet, X Vasseur Optimization Methods and Software 33 (1), 45-69, 2018 | 22 | 2018 |
| Preconditioning and globalizing conjugate gradients in dual space for quadratically penalized nonlinear-least squares problems S Gratton, S Gürol, PL Toint Computational Optimization and Applications 54, 1-25, 2013 | 20 | 2013 |
| Industrial application of an advanced bi-level MDO formulation to aircraft engine pylon optimization A Gazaix, F Gallard, V Ambert, D Guénot, M Hamadi, S Grihon, ... AIAA Aviation 2019 Forum, 3109, 2019 | 18 | 2019 |
| Accounting for model error in air quality forecasts: an application of 4DEnVar to the assimilation of atmospheric composition using QG-Chem 1.0 E Emili, S Gürol, D Cariolle Geoscientific Model Development 9 (11), 3933-3959, 2016 | 15 | 2016 |
| Tuz Gölü: new CEOS reference standard test site for infrared visible optical sensors S Gürol, I Behnert, H Özen, A Deadman, N Fox, UM Leloğlu Canadian Journal of Remote Sensing 36 (5), 553-565, 2010 | 10 | 2010 |
| A note on preconditioning weighted linear least‐squares, with consequences for weakly constrained variational data assimilation S Gratton, S Gürol, E Simon, PL Toint Quarterly Journal of the Royal Meteorological Society 144 (712), 934-940, 2018 | 8 | 2018 |
| Speeding up the ensemble data assimilation system of the limited‐area model of Météo‐France using a block Krylov algorithm F Mercier, Y Michel, T Montmerle, P Jolivet, S Gürol Quarterly Journal of the Royal Meteorological Society 145 (720), 910-929, 2019 | 6 | 2019 |
| “Time”‐Parallel diffusion‐based correlation operators AT Weaver, S Gürol, J Tshimanga, M Chrust, A Piacentini Quarterly Journal of the Royal Meteorological Society 144 (716), 2067-2088, 2018 | 6 | 2018 |
| DAN–An optimal Data Assimilation framework based on machine learning Recurrent Networks P Boudier, A Fillion, S Gratton, S Gürol, S Zhang arXiv preprint arXiv:2010.09694, 2020 | 5 | 2020 |
| Block Krylov methods for accelerating ensembles of variational data assimilations F Mercier, S Gürol, P Jolivet, Y Michel, T Montmerle Quarterly Journal of the Royal Meteorological Society 144 (717), 2463-2480, 2018 | 5 | 2018 |
| Using ensemble-estimated background error variances and correlation scales in the NEMOVAR system AT Weaver, M Chrust, B Ménétrier, A Piacentini, J Tshimanga, Y Yang, ... Report TR/PA/18/15, 39, 2018 | 5 | 2018 |
