Numerical Weather Prediction and Data Assimilation (General Session)
Convener: J. A. Garcia-Moya  | Co-Convener: H. Ólafsson 
Oral Programme
 / Wed, 22 Apr, 13:30–17:00  / Room 10
Poster Programme
 / Attendance Thu, 23 Apr, 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.