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
CRC Summer School 2024 in Boltenhagen
The CRC International Summer School 2024 took place from September 16th to 20th at the Lindner Hotels & Resorts Boltenhagen. Set in the beautiful… more ›
Jakiw Pidstrigach successfully defended his PhD thesis
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
Congratulations to Josie König (PhD candidate in project A07) who succesfully applied for a Fulbright Germany Grant. With this Grant, Josie will… more ›
Upcoming Events
Workshop: Push Your Career outside Academia – Part I Job Interview (online)
Heidi Störr, Push Your Career - Career Consultancy Online09:00-12:30
Leaving academia and looking for a job in the industry is an important and sometimes difficult step. This fundamental career training enables you to…
more ›Workshop: Push Your Career outside Academia – Part II: Salary (online)
Heidi Störr , Push Your Career - Career Consultancy Online09:00-12:30
Leaving academia and looking for a job in the industry is an important and sometimes difficult step. This fundamental career training enables you to…
more ›Bayesian chemotaxis: Information theory of chemotaxis agents combining spatial and temporal gradient-sensing
Benjamin M. Friedrich, Cluster of Excellence Physics of Life, Faculty of Physics, Center for Advancing Electronics Dresden (cfaed), TU Dresden 2.28.0.10810:15 - 11:45
Biological systems process information despite noise-corrupted input, often operating at physical limits. A prime example is chemotaxis, i.e., active…
more ›Latest Publications
Tiepner, A. and Ziebell, E. (2024). Parameter estimation in hyperbolic linear SPDEs from multiple measurements. arXiv:2407.13461
Ziebell, E. (2024). Non-parametric estimation for the stochastic wave equation. arXiv:2404.18823
V. Pfeifer, V. Muraveva, and Beta, C. (2024). Flagella and Cell Body Staining of Bacteria with Fluorescent Dyes in Cell Motility and Chemotaxis: Methods and Protocols, edited by Carsten Beta and Cristina Martinez-Torres (Springer, 2024), p.79-85.