Andrew Lorenc
Met Office, UK
In this talk I aim to:
*Show the linear and adjoint models in 4D-Var are just part of a 4D covariance
model.
*Discuss important properties of error covariances in statistical assimilation.
Use analogy with geostrophic constraint in 3D-Var to understand role of model in
4D-Var.
*Understand important properties to be retained when approximating.
*Review the use of dynamical ensembles to represent forecast error covariances, in
the EnKF.
*Discuss the strengths and weaknesses of the EnKF compared to 4D-Var.