Numerical Weather Prediction and Data Assimilation (including Vilhelm Bjerknes Medal Lecture)
Convener: Jose A Garcia-Moya  | Co-Convener: Haraldur Ólafsson 
Oral Programme
 / Thu, 06 May, 08:30–12:00  / 13:30–15:00  / Room 12
Poster Programme
 / Attendance Thu, 06 May, 17:30–19:00  / Halls X/Y

The session welcomes papers on:
1) Data assimilation systems - progress in the development of data assimilation systems for operational use, research on advanced data assimilation methods such as ensemble Kalman Filtering and 4D-Var;
2) Observations - improved use of conventional data, modelling and impact of new remote sensing data, observation error statistics, network design and experimentation (OSE/OSSE);
3) Models - basic research and new developments in model dynamics, physical parameterizations and numerical methods;
4) Verification and re-analysis activities - verification of model components and operational NWP products against theories and observations, regional and global re-analysis of past observations, diagnosis of data assimilation systems;
5) Ensemble forecasts and predictability - strategies in ensemble construction, model resolution and forecast range related issues, applications to data assimilation.