In the fields of oceanography, meteorology and climatology, the data analysis and data assimilation techniques combine in an optimal way different data sets, possibly using dynamical constraints defined by numerical models. These techniques are central to operational atmospheric and oceanographic analysis systems and climatological data analysis. The EOS-COST DAAM School will provide training in fundamental methodology, standard techniques and several state of the art applications. Theoretical lectures will be followed by practical exercises. The school will cover Bayesian, variational and ensemble techniques, and will present applications with operational systems and climatological data analysis.
The deadline for requesting participation is 17 February, and there will be 20 candidates selected to participate in the training school. Those from countries participating in our COST Action will be given a grant of up to 1500 € for travel, accommodation and meals expenses.