Hydrodynamics and Data Assimilation
Up-to-date numerical circulation and wave models and data are used to estimate and forecast regional and coastal ocean state. Research is concerned with developing models and algorithms, as well as data assimilation methods for the coastal ocean. Data analysis by means of modern techniques is a prerequisite for a successful interpretation of observations and blending data into numerical models.
Observations which are analysed and assimilated include data from tidal gauges, waverider buoys, HF-radars, FerryBoxes, and vertical profiles from scan fish, gliders and Argo floats. Satellite data from altimeters, MERIS, AVHRR and SAR complement the observational and forecasting system.
Most of the research activities are focused on the synoptic description of coastal ocean and provide a methodological support to developing operational oceanography and advanced monitoring strategies. Amongst them assessment of observation systems and their improvement based on adaptive sampling and integration of data and models is the long term strategy of the department.
Capabilities of data assimilation systems to forecast suspended sediments and other important biogeochemistry matter are tested. These have a tremendous influence on light irradiation and therefore on the development of marine life. Applications and products in the field of coastal ocean protection, shipping and other operations are made available to interested users and stakeholders.