[Seminar on April 28] Frontiers in Climate Science: Modeling, Energy Imbalance, AI, and Scaling
Date：2026-04-24
Title: Frontiers in Climate Science: Modeling, Energy Imbalance, AI, and Scaling
Date: April 28, 2026
Time: 09:30 – 12:00
Venue: 12th Floor Lecture Hall, Building 3, Institute of Atmospheric Physics
Moderator: Prof. ZHOU Tianjun
| Time | Topic | Speaker |
|---|---|---|
| 09:40 – 10:10 | Earth’s Energy Imbalance | Prof. Dr. Bjorn Stevens (Director, Max Planck Institute for Meteorology) |
| 10:10 – 10:40 | Climate simulations: how much resolution is enough? | Prof. Dr. Peter Korn (Head, Complex Modeling & Extreme Computing Group, MPI-M) |
| 10:40 – 11:10 | Generative AI in Earth system science – how designated technologies change climate data analysis | Dr. Christopher Kadow (Head, Data Analysis Unit, German Climate Computing Center, DKRZ) |
| 11:10 – 11:40 | The Scaling Issue of Climate Change | Prof. Dr. Chao Li (Head, Climate & Weather Extremes Group, MPI-M) |
| 11:40 – 12:00 | Discussion & Q&A | All speakers |
Prof. Dr. Bjorn Stevens
World-renowned atmospheric scientist and Director of the Max Planck Institute for Meteorology (MPI-M) in Hamburg, Germany. His research focuses on how clouds and atmospheric processes shape Earth’s climate, essential for reliable climate projections. He is a professor at the University of Hamburg and has led the Earth Virtualization Engine (EVE) initiative, aiming to develop next-generation global kilometer‑scale Earth system models. He is a key contributor to the EU’s Digital Twin Earth and Destination Earth strategies, an AGU Fellow, a Member of the Max Planck Society, and a Joint Lead Coordinator of the World Climate Research Programme’s Grand Challenge on Clouds, Circulation and Climate Sensitivity.
Prof. Dr. Peter Korn
Climate scientist and mathematician at MPI-M. His research focuses on advanced numerical methods, stochastic climate modeling, and high‑performance computing for next‑generation Earth system models. He led the development of the ocean component of the ICON model and has been appointed Visiting Professor at Imperial College London, reflecting his long‑standing UK collaborations on stochastic modeling and climate dynamics.
Dr. Christopher Kadow
Leading data scientist at the German Climate Computing Center (DKRZ) in Hamburg. He specializes in applying advanced AI and machine learning techniques to Earth system sciences, bridging high‑performance computing and climate science. His work includes developing generative AI methods for creating high‑resolution climate data and digital twins of the Earth, enabling breakthroughs in understanding climate variability and extremes through data‑driven approaches.
Prof. Dr. Chao Li
Senior Researcher at MPI-M. An authority in interdisciplinary climate science, he bridges physical climate dynamics and socio‑economic impacts. His research focuses on future climate change and internal climate variability under anthropogenic CO₂ forcing. He uses Integrated Assessment Models (IAMs) alongside complete Earth system models to explore plausible climate mitigation scenarios, particularly investigating how atmospheric variability and pattern scaling influence regional economic impacts.
Max Planck Institute for Meteorology (MPI-M) – Germany’s leading climate research institute, dedicated to advancing global climate change science, Earth system modeling, and atmospheric research with world‑class teams and facilities.
German Climate Computing Center (DKRZ) – Europe’s top high‑performance computing and data service center for climate and Earth system sciences, providing supercomputing resources, massive data management, and cutting‑edge numerical simulation technologies.
