19 citations · 30 across the 3 of their papers we have counts for
4 papers
Convergent least-squares optimisation methods for variational data assimilation
Coralia Cartis, Maha H. Kaouri, Amos S. Lawless +1
Data assimilation combines prior (or background) information with observations to estimate the initial state of a dynamical system over a given time-window. A common application is…
New bounds on the condition number of the Hessian of the preconditioned variational data assimilation problem
Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless +2
Data assimilation algorithms combine prior and observational information, weighted by their respective uncertainties, to obtain the most likely posterior of a dynamical system. In…
The impact of using reconditioned correlated observation error covariance matrices in the Met Office 1D-Var system
Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless +4
Recent developments in numerical weather prediction have led to the use of correlated observation error covariance (OEC) information in data assimilation and forecasting systems. H…
Improving the condition number of estimated covariance matrices
Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless +2
High dimensional error covariance matrices and their inverses are used to weight the contribution of observation and background information in data assimilation procedures. As obse…