In the field of data assimilation our work focuses on ensemble-based methods, in particular ensemble Kalman filters and particle filters. The group develops the Parallel Data Assimilation Framework PDAF and provides support for data assimilation. We further perform research on new nonlinear data assimilation algorithms. These methods are implemented in PDAF further studying and application. We also use PDAF in different research projects to apply data assimilation with realistic models, for example to improve coupled climate modeling, ocean prediction, or ocean biogeochemistry.
The branch Scientific Computing coordinates the Bremen Supercomputing Competence Center - BremHLR. As a coorperation of AWI, University of Bremen, Jacobs University Bremen, and the University of Applied Sciences Bremerhaven, supported by the “Bremer Senatorin für Wissenschaft und Häfen”, we provide supercomputing consulting for users in the state of Bremen.
We support the ever growing avctivities in earth system modelling by giving support in the field of high performance computing (HPC). In particular for numerical model development we operate together with the SYSTEMS branch local high performace computers for all research groups at AWI, and we provide consulting in the use of high-performance resources (DKRZ, BremHLR, JSC).
As an ocean model "in a nut-shell" the Tsunami simulation code TsunAWI serves as testbed for new implementation technolgies and optimization approaches. TsunAWI is used operationally in the Tsunami Early Warning System in Indonesia and, at the same time, is used in scientific projects.