Modeling and solving complex physical systems described by partial differential equations poses many challenges to mathematicians and practitioners. Typically, different parts of the system are modeled by processes that interact on various spacial and temporal scales. Simulations of such systems, e.g., climate simulations, is extremely challenging.
Since every numerical simulation possesses a truncation scale important subgrid processes can not be resolved and must be taken care of by different means, e.g., by so-called parametrizations. The coupling between parametrized processes and the computational model (e.g., the dynamical core) is, however, often just heuristic. For reliable simulations, in particular over long time, coupling strategies to the (main) computational model/scale are essential.
Current and past collaborators (list not complete):
- Dr. Christopher Eldred, now at Sandia National Laboratories, Albuquerque, New Mexico, USA
- Prof. Jörn Behrens, University of Hamburg, Germany
- PhD cand. Yumeng Chen, University of Hamburg, Germany
- PhD cand. Heena Patel, University of Hamburg, Germany
- Dr. Dirk J. Lehmann, IAV GmbH Gifhorn und Otto-von-Guericke University of Magdeburg, Germany
- Dr. Niklas Röber, German Climate Computing Center (DKRZ), Hamburg, Germany
- Prof. Ronen Basri, The Weizmann Institute of Science, Rehovot, Israel
- Dr. Sameer Sheorey, Utopia Compression, Los Angelos, California, USA
- Prof. Davis W. Jacobs, University of Mayland, College Park, Maryland, USA
- Prof. Yanqiu Guo, Florida International University, Miami, Florida, USA
- Prof. Edriss S. Titi, University of Cambridge, Cambridge, UK and Texas A&M University, College Station, USA as well as The Weizmann Institute of Science, Rehovot, Israel