In variational assimilation, the most probable state of a dynamical syst...
Using a high degree of parallelism is essential to perform data assimila...
There is growing awareness that errors in the model equations cannot be
...
Data assimilation algorithms combine prior and observational information...
We consider the large-sparse symmetric linear systems of equations that ...
High dimensional error covariance matrices are used to weight the
contri...