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
Jakiw Pidstrigach successfully defended his PhD thesis
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Congratulations to Jakiw Pidstrigach who successfully defended his PhD thesis on "Diverse Paths, One Destination A Study of Modern Sampling Methods"… more ›
Josie König successfully applied for a Fulbright Grant
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Congratulations to Josie König (PhD candidate in project A07) who succesfully applied for a Fulbright Germany Grant. With this Grant, Josie will… more ›
Focus Retreat on Hiddensee 2024
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The 3rd Focus Retreat on Hiddensee took place from 4th to 8th of April, 2024. Sebastian Reich (Z01, A02, A06, B03, B09) invited Jan Albrecht (B07),… more ›
Upcoming Events
International Summer School 2024
Lindner Hotels & Resorts Boltenhagen16.09.-20.09.2024
The CRC International Summer School 2024 will take place from September 16th (arrival on the 15th) to 20th at the Lindner Hotels & Resorts Boltenhagen…
more ›7th Kálmán Lecture with Martin Burger
Martin Burger, Helmholtz Imaging 3.06.H0210:15 - 11:45
tba
more ›Joint seminar with Kevin Burrage
Kevin Burrage, Queensland University of Technology, Australia 2.9.2.2210:15 - 11:45
Joint seminar with the RF Data-Centric-Sciences
more ›Latest Publications
Zöller, G. (2024). Recurrence times of large earthquakes: assimilating the effect of seismic coupling into a renewal model. Bulletin of the Seismological Society of America, Vol. 114(3),1754-1761. doi:10.1785/0120230257
Maleki Asayesh,B., Hainzl, S., Zöller, G. (2023). Depth‐Dependent Aftershock Trigger Potential Revealed by 3D‐ETAS Modeling. Journal of Geophysical Research, Vol. 128(6), e2023JB026377. doi:10.1029/2023JB026377
Sharma, S., Hainzl, S., Zöller, G. (2023). Seismicity parameter dependence on mainshock induced co-seismic stress. Geophysical Journal International, Vol. 135(1), 509-517. doi:10.1093/gji/ggad201