1. Science Update
Ross Bannister, DARC PI Meeting, Oct. 17th 2005
The ‘parameter’ transform. Deals with multivariate aspects of f/c error covariances.
The spatial transform (‘vertical’ and ‘horizontal’) deals with the spatial aspects of f/c error covariances.
The “potential vorticity”
project
(collaborator Mike Cullen)
The “wavelets”
(motivation Andrews/Lorenc)
Implied b/g error covariance matrix
Scope for improvement
Existing schemes do not consider multi-faceted aspects of f/c errors

2. The “potential vorticity” project

3. The “potential vorticity” project
1. Formulation of problem
Determine equations 
2. Forward operators
Balanced operator
Unbalanced operator 1
Unbalanced operator 2
3. Adjoint operators (+adjoint tests)
4. Inverse operators (GCR algorithm + inverse tests)
5. Calibrate statistics
Forecast differences
6. Look at properties of new transform
Implied covariances
Correlation tests
7. Assimilation trials

4. The “wavelets” project

5. Forecast error covs for T (control)

6. Forecast error covs for T (MetO)

7. Forecast error covs for T (WS)