Understanding climate – step by step

The Environmetrics group at the Research Center Trustworthy Data Science and Security (RC Trust) welcomes a new member: Jacob Grytzka, who joined as a research associate on April 1, 2026. Working together with JProf. Nils Weitzel at TU Dortmund University, he contributes to a growing effort to better understand one of the most complex systems we know–the Earth’s climate.
Climate change is not only a question of physics and observation; it is also a question of how we interpret data. Measurements from satellites, environmental archives, and simulations provide vast amounts of information–but often with uncertainty, gaps, and different scales. This is where Environmetrics comes in: developing statistical methods that help turn fragmented data into reliable knowledge for decision-making.

From statistical theory to real-world impact

Jacob Grytzka brings strong expertise in statistical modeling to this challenge. Over the past three years, he has worked at the Department of Statistics at TU Dortmund University with Prof. Andreas Groll and Prof. Paul Bürkner, focusing on penalization methods in mixed models–an area that helps balance model complexity and interpretability.
At RC Trust, his work now connects these statistical foundations with pressing environmental questions. His research focuses on interpretable statistical emulation of Earth system models and the postprocessing of future climate projections. In simple terms, this means building models that are not only accurate, but also understandable–so that scientists, policymakers, and society can better grasp what drives environmental change and how certain we can be about future developments.
By improving how uncertainties are quantified and communicated, his work supports more transparent and trustworthy climate insights–an essential basis for decisions ranging from infrastructure planning to environmental protection.

Strengthening interdisciplinary collaboration

The Environmetrics group thrives on collaboration across disciplines such as statistics, meteorology, geosciences, and physics. Jacob Grytzka’s background and research interests fit seamlessly into this environment. His work contributes to ongoing efforts to employ state-of-the-art statistical models for linking past climate information with future projections and better understanding the dynamics of climate variability across space and time.
As part of RC Trust, this research is embedded in a broader mission: advancing trustworthy data science and making complex systems more accessible and explainable. In a world where data-driven decisions increasingly shape our future, this approach is more important than ever.

A personal note

Outside of his research, Jacob enjoys singing in a choir and cycling–especially during the summer months.