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
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 ›
Focus Retreat on Hiddensee 2023
This year a Focus Retreat on Hiddensee took place again. Jan Albrecht (B07), Diksha Bhandari (B09), Katherine Briceno Guerrero (B08), Gottfried… more ›
2nd IRTG Jamboree
PhD candidates, Postdocs, and guests of the Centre met from September 6th to 8th at the KiEZ Inselparadies for the 2nd IRTG Jamboree. The event was… more ›
Upcoming Events
SFB Colloquium
tba tba10:15 - 11:45
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more ›SFB Colloquium with Edriss Titi
Edriss Titi , University of Cambridge 10:15 - 11:45
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more ›International Summer School 2024
Iberotel Boltenhagen16.09.-20.09.2024
The SFB International Summer School 2024 will take place from the 16th (arrival on the 15th) to the 20th of September 2024. The Summer School will…
more ›Latest Publications
Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie and T J Sullivan (2021). Gamma-convergence of Onsager–Machlup functionals: II. convergence of Onsager–Machlup functionals: II. Infinite product measures on Banach spaces. Inverse Problems, Volume 38, Number 2, doi:10.1088/1361-6420/ac3f82.
M. Redmann, M.A. Freitag (2021). Optimization based model order reduction for stochastic systems. Appl. Math. Comput., 398.
H. C. Lie, M. Stahn, T.J. Sullivan (2022). Randomised one-step time integration methods for deterministic operator differential equations. Calcolo, Volume 59, Number 13 doi:10.1007/s10092-022-00457-6.