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.


Prof. Dr. Sebastian Reich, University of Potsdam, Department of Mathematics

Managing Director

Dr. Liv Heinecke, University of Potsdam, Department of Mathematics

Funded by


Coordinated by


Upcoming Events

Almut Veraart

Almut Veraart, Imperial College London online10:15 - 11:15


invited by Sebastian Reich


***Due to the current pandemic this colloquium will be conducted online. We invite you to join and spread the news.…

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Tatsuo Shibata

Tatsuo Shibata, RIKEN Center for Biosystems Dynamics Research, Japan online10:15 - 11:15


invited by Carsten Beta


***Due to the current pandemic this colloquium will be conducted online. We invite you to join and spread the news. We…

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Latest Publications

  • Blanchard, G., Deshmukh, A., Dogan, U., Lee, G. and Scott, C. (2021). Domain Generalization by Marginal Transfer Learning. Journal of Machine Learning Research 22(2):1−55. Open Access

  • Zadorozhnyi, O. and Gaillard, P. and Gerchinovitz, S. and Rudi, A. (2021). Online nonparametric regression with Sobolev kernels. arxiv: 2102.03594

  • Lange, T. and Stannat W. (2021). Mean field limit of Ensemble Square Root filters - discrete and continuous time, Foundations of Data Science. doi: 10.3934/fods.2021003

Participating Institutions

imageHU BerlinGFZ PotsdamTU BerlinWeierstraß-Institut BerlinOtto von Guericke University Magdeburg