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 timeordered, 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 highdimensionality of the inference problems, nonlinearity of the models and/or nonGaussian 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, Department of Mathematics
Coordinator
Dr. Liv Heinecke, University of Potsdam, Department of Mathematics
News
Short course on Lévy Processes
Dr. Ester Mariucci will give a 2part short course on Lévy Processes on the 31^{st} of January and 07^{th} of February 2019 from 14:15 to 17:45 The exercise...
more ›Fellowships 2nd SpringSchool
The second annual SFB Spring School will take place from the 18th to the 22nd of March 2019 at the Ostseehotel Dierhagen.
Our invited guests for the...
more ›Joint Workshop of TRR 181, SFB 1114 and SFB 1294  Registration now open!
This threeday workshop will review our state of knowledge on energy budgets and energy transfers in the climate system and how they are ...
more ›Upcoming Events
Uniform estimates for particle filters
Pierre del Moral, INRIA, Bordeaux Research Center, University of Bordeaux, France 2.09.0.14 10:1511:45
This talk is concerned with the long time behavior of particle filters and Ensemble Kalman filters. These filters can be interpreted as mean field...
more ›Nash Equilibria for Stochastic Games with Singular Control.
Jodi Dianetti, Universität Bielefeld 2.9.2.22 10:1511:45
A singular stochastic control problem typically describes the situation in which
an agent has to choose optimally an irreversible strategy in order to...
Short course on Lévy Processes  Part 1
Ester Mariucci, Universität Potsdam room 2.14.0.47 from 14:15  15:45 and room 2.28.0.108 from 16:15  17:45 14:15  17:45
Part 1: Why do we add jumps to the Brownian motion?
In the first part of the mini course we will focus on jump processes with independent and...
more ›Latest Publications

N. A. Aseev, Y. Y. Shprits, A. Y. Drozdov, A. C. Kellerman, M. E. Usanova, D. Wang, I. S. Zhelavskaya (2017). Signatures of Ultrarelativistic Electron Loss in the Heart of the Outer Radiation Belt Measured by Van Allen Probes. Journal of Geophysical Research, 122, 1010210111. doi: 10.1002/2017JA024485

B. Ni, X. Cao, Y. Y. Shprits, D. Summers, X. Gu, S. Fu, Y. Lou (2018). Hot Plasma Effects on the CyclotronResonant PitchAngle Scattering Rates of Radiation Belt Electrons Due to EMIC Waves. Geophysical Research Letters, 45, 2130. doi: 10.1002/2017GL07602

S. Makowski, L. Jäger, A. Abdelwahab, N. Landwehr and T. Scheffer (2018). A discriminative model for identifying readers and assessing text comprehension from eye movements. Proceedings of the European Conference on Machine Learning (ECML2018). Free PDF