The improvement of the quality and usefulness of the HIRLAM
weather forecast model, e.g. by means of developing better
physical parametrization techniques
The development of mesoscale versions of HIRLAM (at approx. 2km
horizontal resolution)
Assimilation of high resolution remote sensing observations from space
(scatterometer, ATOVS) and from the surface (Doppler radar wind, wind profilers, GPS) in HIRLAM
Assessment and optimization of short-range probabnilistic forecasts based on
limited area model ensembles (project SWITCHfc)
Use of radar data in numerical weather prediction and hydrological
modells: project COST-717
Nowcasting en very short term (<12h ahead) prediction methods
Development of nowcasting methods for severe weather
(wind gusts, strong convection, thunderstorms, hail, fog)