1. Quick Overview of DARC Training.
Evaluating models: atmosphere and ocean.
Inverse modelling (understanding processes).
Observation-assimilation interface.
“Re-analysis” for the atmosphere and ocean.
Theory of data assimilation, e.g.
algorithm development & improvement
error modelling & error propagation (incl. biases)

3. O-B statistics for MIPAS L2 ozone
DARC analyses, 11-17th September 2002
Global mean O-B

4. Ocean assimilation research in DARC ST ST +SS 1st Salinity
First 40 yr reanalysis at ECMWF
Mean N Pacific Salinity 300m
1st Salinity
increment
from Salinity
data
ST
ST +SS

5. Modelling the B matrix Explicit B-matrix MetO B-matrix
Vertical T corrs (fn. of posn.)
Explicit B-matrix
MetO B-matrix
WS B-matrix (4 bands)