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
Lydia Stolpmann, University of Potsdam, Department of Mathematics
Coordinated byUniversität Potsdam
The SFB 1294 at the EGU General Assembly 2023 in Vienna
Our doctoral candidates Angelica Maria Castillo Tibocha and Marina Garcia Penaranda from the B06 as well as Giuseppe Carere from project A07… more ›
Sebastian Reich in the directors team of the new ELLIS Unit Potsdam
The University of Potsdam joins the European Laboratory for Learning and Intelligent Systems (ELLIS). ELLIS was founded in 2018 and aims to ensure the… more ›
DDE Programme at Isaac Newton Institute in Cambridge started in January
In January, the INI Programme "The mathematical and statistical foundation of future data-driven engineering" has been started. This program is… more ›
IRTG Workshop - Presentation Skills for Science and Research (Part I - online)
This workshop on Presentation Skills for Science and Research will be held by Dr. Peter Schröder and is mandatory for Doctoral researchers of our…more ›
IRTG Workshop - Presentation Skills for Science and Research (Part II )
This is Part II of the workshop 'Presentation Skills for Science and Research' and held by Dr. Peter Schröder. This workshop day is splitted in 3…more ›
On the design of scientific visualization
Nicolas Rougier, INRIA, Bordeaux 188.8.131.524:00 - 15:30
This is a co-organized colloquium with the Institute of Mathematics of the UP
Scientific visualization is classically defined as the process of…more ›
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.