3 papers
physics.ao-ph2019
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…
math.NA2019
Spectral estimates for saddle point matrices arising in weak constraint four-dimensional variational data assimilation
Ieva Daužickaitė, Amos S. Lawless, Jennifer A. Scott +1
We consider the large-sparse symmetric linear systems of equations that arise in the solution of weak constraint four-dimensional variational data assimilation, a method of high in…
math.OC2018
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…