Overview

The scientific computing group at AWI is strongly involved in the development of a unstructured grid ocean/sea-ice model COM (community ocean model), based on FEOM, the finite element ocean model. Here, support is given in code management, parallelization and parallel iterative solvers (FoSSI).

The research in sequential data assimilation algorithms is another field of work. The research focuses on filter algorithms based on the Kalman filter. Topics are the development of new algorithms, the implementation, optimization, and parallelization of these algorithms for real data assimilation applications on supercomputers. Real applications are supported like in the research project DeMarine Enviroment. New algorithms are provided through the free open-source assimilation framework PDAF that was developed by the group Scientific Computing. PDAF is used at AWI in different research projects, but also at other institutes.

Members of the group participate also in national an international projects like the Tsunami early warning system GI-TEWS (German contribution to Indonesean Tsunami Early Warning System) and C3Grid (Collaborative Climate Community Data and Processing Grid).


The group participates strongly in the national scientific computing community. In particular it develops user-interfaces to parallel software packages and provides them for the community.

Recently, Bioinformatics has become a strong focus, being represented by a new research group