Reports

Report - EGU General Assembly in Vienna by Hao Liang (May 26)

I travelled together with colleagues from MIDS (Mathematical Institute for Machine Learning and Data Science) from Catholic University Eichstätt-Ingolstadt and arrived in Vienna on a sunny Sunday afternoon. Even before the conference officially began, the city already felt connected to EGU. Around metro stations, cafés, and the conference venue, it was easy to spot participants wearing name badges or carrying poster tubes. Vienna itself provided a beautiful setting for the week, with its grand historical buildings, churches, parks, and opera houses creating a calm yet lively atmosphere.

The scale of the conference was impressive. Oral sessions, poster presentations, short courses, and networking events ran throughout the day. What impressed me most, however, was how much effort people put into presenting and discussing their work. Researchers from very different backgrounds were all eager to exchange ideas and explain their research in detail.
During the week, I mainly attended sessions related to ocean dynamics, turbulence, numerical modelling, and machine learning applications in geoscience, especially the OS1.11 and NP6.4 sessions organised by members of the TRR 181 project. The talks covered a wide range of topics, from physical ocean processes to modern computational and data-driven methods, and the discussions were often lively and inspiring. Researchers from the TRR 181 project also contributed several excellent talks and poster presentations throughout the week, and unexpectedly meeting familiar faces across different sessions added another enjoyable part to the conference experience.

My own poster presentation took place towards the end of the conference. It was my first time presenting a poster at such a large international meeting, and I really enjoyed the experience. Compared with oral presentations, the poster session allowed for more direct and relaxed discussions. I had several interesting conversations about possible applications of the method, which gave me useful ideas for future research.

Outside the sessions themselves, the conference had a very lively atmosphere. During breaks, many participants gathered outside in the sunshine, sitting on the grass and continuing scientific discussions. Others explored the exhibition area, where journals, scientific companies, and research organisations presented new projects, software, and publications. There were also quiet working areas filled with researchers preparing talks, answering emails, or making last-minute changes to posters.
Vienna itself also became an important part of the experience. After the conference sessions ended, colleagues and I often spent the evenings walking through the city centre while continuing discussions from the day. The architecture constantly changed from one street to another: monumental buildings, quiet courtyards, churches, statues, and elegant parks appeared almost everywhere.

After the conference, I stayed an extra day in Vienna and visited the Kunsthistorisches Museum. The museum’s collections span thousands of years of history, from Egyptian and Classical antiquities to Renaissance paintings and sculptures. One highlight for me was seeing Pieter Bruegel’s The Tower of Babel in person, part of the museum’s remarkable Bruegel collection.
Overall, EGU 2026 was a highly valuable experience for me. Beyond presenting my own work, the conference provided many opportunities for discussion, inspiration, and new perspectives on interdisciplinary research. At the same time, Vienna itself added a unique atmosphere to the week, combining science, history, art, and music in a memorable way.

At the beginning of May, I travelled to Vienna to participate in the EGU General Assembly 2026. The meeting brought together around 20,000 scientists from all over the world working across many areas of geoscience. Coming from a mathematical background and working on spectral recovery from sparse observations, it was exciting to experience such a large and interdisciplinary conference environment.

I travelled together with colleagues from MIDS (Mathematical Institute for Machine Learning and Data Science) from Catholic University Eichstätt-Ingolstadt and arrived in Vienna on a sunny Sunday afternoon. Even before the conference officially began, the city already felt connected to EGU. Around metro stations, cafés, and the conference venue, it was easy to spot participants wearing name badges or carrying poster tubes. Vienna itself provided a beautiful setting for the week, with its grand historical buildings, churches, parks, and opera houses creating a calm yet lively atmosphere.

The scale of the conference was impressive. Oral sessions, poster presentations, short courses, and networking events ran throughout the day. What impressed me most, however, was how much effort people put into presenting and discussing their work. Researchers from very different backgrounds were all eager to exchange ideas and explain their research in detail.

During the week, I mainly attended sessions related to ocean dynamics, turbulence, numerical modelling, and machine learning applications in geoscience, especially the OS1.11 and NP6.4 sessions organised by members of the TRR 181 project. The talks covered a wide range of topics, from physical ocean processes to modern computational and data-driven methods, and the discussions were often lively and inspiring. Researchers from the TRR 181 project also contributed several excellent talks and poster presentations throughout the week, and unexpectedly meeting familiar faces across different sessions added another enjoyable part to the conference experience.

My own poster presentation took place towards the end of the conference. It was my first time presenting a poster at such a large international meeting, and I really enjoyed the experience. Compared with oral presentations, the poster session allowed for more direct and relaxed discussions. I had several interesting conversations about possible applications of the method, which gave me useful ideas for future research.

Outside the sessions themselves, the conference had a very lively atmosphere. During breaks, many participants gathered outside in the sunshine, sitting on the grass and continuing scientific discussions. Others explored the exhibition area, where journals, scientific companies, and research organisations presented new projects, software, and publications. There were also quiet working areas filled with researchers preparing talks, answering emails, or making last-minute changes to posters.

Vienna itself also became an important part of the experience. After the conference sessions ended, colleagues and I often spent the evenings walking through the city centre while continuing discussions from the day. The architecture constantly changed from one street to another: monumental buildings, quiet courtyards, churches, statues, and elegant parks appeared almost everywhere.

After the conference, I stayed an extra day in Vienna and visited the Kunsthistorisches Museum. The museum’s collections span thousands of years of history, from Egyptian and Classical antiquities to Renaissance paintings and sculptures. One highlight for me was seeing Pieter Bruegel’s The Tower of Babel in person, part of the museum’s remarkable Bruegel collection.

Overall, EGU 2026 was a highly valuable experience for me. Beyond presenting my own work, the conference provided many opportunities for discussion, inspiration, and new perspectives on interdisciplinary research. At the same time, Vienna itself added a unique atmosphere to the week, combining science, history, art, and music in a memorable way.

Research Stay in Pusan by Ekaterina Bagaeva (Sep 23)

Since the end of 2022, the topic of research stay slowly began to appear in our discussions with my supervisor.  We were considering various research groups studying eddies' modeling but overall decided to contact Prof. Dr. Christian Franzke, an expert in atmospheric stochastic modeling. As I found out later during the research stay he has a broad range of scientific interests, but first things first. We reached out to Prof. Franzke, who confirmed his interest in hosting a guest PhD student. And I haven’t told you yet about the destination. South Korea, Pusan National University, what an exotic place for the research stay! 

I began preparations. Timing was settled (right after the summer break), duration was defined (3 weeks) and the tickets to cross the entire Eurasia  were bought. Pleasant little things have remained: to have online meetings to discuss the working plan for these 3 weeks, to find the perfect Airbnb near the university, to plan the weekend trips…  

On September 1st, when all the students in my home country started the new academic year, I  moved to the East. Everything went very smoothly and on Monday we were already having the meeting with Prof. Franzke. On the same day, I was introduced to the working group of young scientists, and we had lunch together in the Korean mensa. I think after these three weeks, the concentration of kimchi in my stomach reached a critical amount.

I am very grateful to Prof. Franzke, who found time to meet and discuss intermediate results every second day and also was always available by phone, despite the high workload. We ended up with the idea that I’m currently implementing in FESOM2. And what is also great is that we are in contact after the research stay and keep meeting biweekly. During the last week, I had the opportunity to give a talk about my PhD work in front of an ocean modelling group. I believe it went well, because there were quite some questions.  

It's time to come up with the summary. During this short time South Korea gave me a chance to get to know it. The working environment, the urban design, the Korean weather with sunny and rainy days, delicious food and the most important for me - people there. As a nice bonus I did weekend trips to Seoul, to the DMZ between two Koreas, did several hikes to the temples and around Pusan.

First Steps in Stochastic Ocean Modelling

To find a good stochastic kinetic energy backscatter parameterization is my local aim so far.

Ekaterina Bagaeva, PhD M3

My name is Ekaterina and I’m a PhD Student of project M3 “Towards Consistent Subgrid Momentum Closures”. I work at Jacobs University in Bremen and at AWI in Bremerhaven as well. Due to Corona pandemic the personal contacts are quite limited, but I was lucky enough to meet already my colleagues in AWI and also regularly meet the colleagues in Jacobs University.

Before joining to TRR I’ve got a master degree in Mathematical Modelling following an Erasmus Program in Europe. My master thesis was related to stochastic modelling of the evolution of an epidemic. The stochastic area of my thesis brings me to the current work in TRR.

My global aim in the projects is to improve the representation of ocean variability that represents by ocean eddies. Some ocean eddies are already resolved for certain degrees of resolution, but still there are variations where explicit simulation is not possible. Some of these variabilities could be resolved by bringing back to the model kinetic energy, so called kinetic energy backscatter, obtained through the stochastic parametrization. And to find a good stochastic kinetic energy backscatter parameterization is my local aim so far.

To date, we are on the second stage of the project, so the first months of my work were devoted to acquaintance with the FESOM model, its configurations and code itself. The other significant part was related to understanding of papers which were published by members of M3 during the first stage of the project. Currently I start to implement the idea of identifying the process based on EOF (Empirical Orthogonal Functions) analysis of kinetics energy difference between realization of the model on the fine and coarse grids.

I see the evolution of my work in the application of smarter and more sophisticated approached of stochastic parametrization, preserving the model intuitively understandable and available for computation.

Stochastic superparametrization (SSP) for ocean models

We are working on adapting SSP for applying it to ocean primitive equations (PE).

Anton Kutsenko, Postdoc in M3

Please download Anton's report here, since we cannot display his equations with our CMS.