Welcome to the collaborative Research Center TRR 181 ”Energy transfers in Atmosphere and Ocean“
The seamless integration of large data sets into sophisticated computational models provides one of the central research challenges for the mathematical sciences in the 21st century. When the computational model is based on evolutionary equations and the data set is time-ordered, the process of combining models and data is called data assimilation. The assimilation of data into computational models serves a wide spectrum of purposes ranging from model calibration and model comparison all the way to the validation of novel model design principles.
The field of data assimilation has been largely driven by practitioners from meteorology, hydrology and oil reservoir exploration; but a theoretical foundation of the field is largely missing. Furthermore, many new applications are emerging from, for example, biology, medicine, and the neurosciences, which require novel data assimilation techniques. The goal of the proposed CRC is therefore twofold: First, to develop principled methodologies for data assimilation and, second, to demonstrate computational effectiveness and robustness through their implementation for established and novel data assimilation application areas.
While most current data assimilation algorithms are derived and analyzed from a Bayesian perspective, the CRC will view data assimilation from a general statistical inference perspective. Major challenges arise from the high-dimensionality of the inference problems, nonlinearity of the models and/or non-Gaussian statistics. Targeted application areas include the geoscience as well as emerging fields for data assimilation such as biophysics and cognitive neuroscience.
Speaker
Prof. Dr. Sebastian Reich, University of Potsdam, Institute of Mathematics
Managing Director
Lydia Stolpmann, University of Potsdam, Institute of Mathematics
News
3rd Data Think Tank
Our 3rd Data Think Tank took place at the Potsdamer Wissenschaftsetage on February 14th and 15th. This year, the Think Tank was an internal event with… more ›
Call for SFB 1294 short-term fellowships in 2024
The Collaborative Research Centre SFB1294 “Data Assimilation - The Seamless Integration of Data and Models” in Potsdam, Germany, invites applications… more ›
Jin W. Kim won CSL PhD Thesis Award
Congratulations to Jin W. Kim (project A02) who won the CSL PhD Thesis Award from the University of Illinois for his thesis entitled "Duality for… more ›
Upcoming Events
SFB Colloquium with Ulrike Herzschuh & Thomas Laepple
Ulrike Herzschuh & Thomas Laepple, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research 2.28.0.10810:15 - 11:45
tba
more ›Seminar with Jannis Marquardt
Jannis Marquardt, TU Braunschweig 2.9.1.2214:30 - 17:30
Seminar talk (abstract tba) followed by a young researcher network meeting.
more ›SFB Colloquium with Gabriele Steidl
Gabriele Steidl, TU Berlin tba10:15 - 11:45
tba
more ›Latest Publications
Haas, B., Shprits, Y. Y., Wutzig, M., Szabó-Roberts, M., García Peñaranda, M., Castillo Tibocha, A. M., Himmelsbach, J., Wang, D., Miyoshi, Y., Kasahara, S., Keika, K., Yokota, S., Shinohara, I., and Hori, T. (2024). Global validation of data-assimilative electron ring current nowcast for space weather applications.Sci Rep 14, 2327. doi.org/10.1038/s41598-024-52187-0.
Gottwald, G., Li, F., Marzouk, Y., Reich, S (2024). Stable generative modelling using diffusion maps. arXiv 2401.04372
König, J., Pfeffer, M. and Stoll, M. (2023). Efficient training of Gaussian processes with tensor product structure. arXiv 2312.15305.