| The conditioning of least‐squares problems in variational data assimilation JM Tabeart, SL Dance, SA Haben, AS Lawless, NK Nichols, JA Waller Numerical Linear Algebra with Applications 25 (5), e2165, 2018 | 31 | 2018 |
| Improving the condition number of estimated covariance matrices JM Tabeart, SL Dance, AS Lawless, NK Nichols, JA Waller Tellus A: Dynamic Meteorology and Oceanography 72 (1), 1-19, 2020 | 29 | 2020 |
| The impact of using reconditioned correlated observation‐error covariance matrices in the Met Office 1D‐Var system JM Tabeart, SL Dance, AS Lawless, S Migliorini, NK Nichols, F Smith, ... Quarterly Journal of the Royal Meteorological Society 146 (728), 1372-1390, 2020 | 16 | 2020 |
| New bounds on the condition number of the Hessian of the preconditioned variational data assimilation problem JM Tabeart, SL Dance, AS Lawless, NK Nichols, JA Waller Numerical Linear Algebra with Applications 29 (1), e2405, 2022 | 9 | 2022 |
| Collection and extraction of water level information from a digital river camera image dataset S Vetra-Carvalho, SL Dance, DC Mason, JA Waller, ES Cooper, PJ Smith, ... Data in Brief 33, 106338, 2020 | 9 | 2020 |
| Saddle point preconditioners for weak-constraint 4D-Var JM Tabeart, JW Pearson Electronic Transactions on Numerical Analysis 60, 197-220, 2024 | 5 | 2024 |
| Model reduction of linear dynamical systems via balancing for Bayesian inference E Qian, JM Tabeart, C Beattie, S Gugercin, J Jiang, PR Kramer, ... Journal of Scientific Computing 91 (1), 29, 2022 | 4 | 2022 |
| On the treatment of correlated observation errors in data assimilation JM Tabeart University of Reading, 2019 | 3 | 2019 |
| High temperature measurement of elastic moduli of (0001) gallium nitride ML Hicks, J Tabeart, MJ Edwards, ED Le Boulbar, DWE Allsopp, ... Integrated Ferroelectrics 133 (1), 17-24, 2012 | 3 | 2012 |
| Stein-based preconditioners for weak-constraint 4D-var D Palitta, JM Tabeart Journal of Computational Physics 482, 112068, 2023 | 1 | 2023 |
| Stein-based preconditioners for weak-constraint 4D-var JM Tabeart, D Palitta Numerical Methods for Large Scale Problems, 50, 0 | 1 | |
| Model Order Reduction for One Dimensional Burgers’ Equation K Veroy-Grepl, J Tabeart, E Nielen | | |
| Accounting for correlated observation errors in variational data assimilation JM Tabeart, SL Dance, AS Lawless, NK Nichols, JA Waller, S Migliorini, ... | | |
Joanne WallerMet OfficeVerified email at metoffice.gov.uk