CESOC continues the seminar series “My research” Fridays at 3:30 pm in which members of CESOC will give a talk on their research and are happy to answer questions afterwards in a short discussion. 

It will be held via Zoom and is open to any interested person within the CESOC research disciplines (any Earth system sciences, mathematics or computer science). Please contact info@cesoc.net, if you would like to participate.

You can find the complete schedule in the table below.
Titles are preliminary and may be updated as the semester progresses.



Date Speaker Title Affiliation
14.10.2022 Semester start – no seminar
21.10. Prof. Dr. Yaping Shao Modelling Past Human Dispersal in Changing Climate Institute of Geophysics and Meteorology – Atmospheric Modelling, University of Cologne

Geoverbund meeting – no seminar

04.11. No seminar

Prof. Dr. Axel Klawonn

Scientific Computing, Scientific Machine Learning, and all that Department of Mathematics and Computer Science – Numerical Mathematics and Scientific Computing, University of Cologne
Prof. Dr. Zbyněk Malenovský

Quantitative remote sensing and 3D radiative transfer modelling of vegetation optical signals

Department of Geography – Remote Sensing, University of Bonn
25.11. Prof. Dr. Andreas Wahner

Atmospheric Self-cleaning and Climate

Institute of Energy and Climate Research – Troposphere (IEK-8), Forschungszentrum Jülich

Geoverbund meeting – no seminar

09.12. Prof. Dr. Leonie Esters

Towards an improved description of the air-water carbon exchange

Institute for Geosciences – Meteorology, University of Bonn
– 06.01.2023

Christmas Break – no seminar
13.01. Prof. Dr. Michaela Hegglin

Stratospheric Ozone and its role in the Earth system: From UV protection to climate change

Institute of Energy and Climate Research – Stratosphere (IEK-7), Forschungszentrum Jülich

Prof. Dr. Christina Bogner

Microplastics in soils and freshwater ecosystems

Institute of Geography – Ecosystem Research, University of Cologne
27.01. Prof. Dr. Roel Neggers Institute of Geophysics and Meteorology – InScAPE, University of Cologne
Prof. Dr. Jürgen Gall Deep Learning for Analyzing Temporal Visual Data and Forecasting Department of Information Systems and Artificial Intelligence, University of Bonn