
Climate
Center
Munich Climate Center
Understanding Earth systems. Anticipating change. Shaping resilient futures.
What's New
From research collaborations to public events, discover our current activities and upcoming initiatives.
MuCC at Munich Climate Week 2026: Forests in a Changing Climate
What does climate change mean for forests, from the Amazon rainforest to our own backyard? Join MuCC researchers at the Munich Climate Week for short talks on climate tipping points, forest resilience and future scenarios, followed by an open discussion with the audience.
📍 21 Oct 2026 · 19:00–21:00 · Alte Utting (Hecksalon) · Lagerhausstraße 15, Munich · In German
✔️ Register here.

Image credit: Munich Climate Week. Photo by Timo Wagner on Unsplash
Bringing Munich's Climate Research Together
On 22 September, researchers from TUM and LMU came together at the Garching campus for the Munich Climate Center's kickoff meeting to shape a shared research agenda, explore new collaborations and discuss future activities.
Stay tuned for upcoming projects and events!

Image credit: Munich Climate Center
Scientific Mission
Advancing Earth system understanding through next-generation interdisciplinary science.



Strategic Mission
Building institutional leadership in climate research, collaboration, and public impact.
Make TUM internationally visible as a leading climate research institution

Bundle climate science expertise at Munich institutions

Institutional backbone for joint funding initiatives

Policy advice and climate science communication

Key Research Methods
Integrating models, observations, AI and policy insight to address climate risk.
Current Projects
Professorship for Earth System Modelling
Coordinates the Munich Climate Center. Its research group focuses on modelling the Earth system and its individual components, with particular emphasis on extreme events, tipping points, critical transitions, and abrupt climate change. The group uses physical models and combines process-based differential equation approaches with machine learning techniques to improve analysis and prediction.






