Jemima M. Tabeart
TitleCited byYear
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
102018
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
22020
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
12012
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, 2020
2020
On the treatment of correlated observation errors in data assimilation
JM Tabeart
University of Reading, 2019
2019
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Articles 1–5