Symposium
The EXCLAIM symposium explores the transformative potential of AI-driven and physics-based models in advancing weather and climate prediction. Please join us for an exciting three-day symposium of speakers from academia and industry at the forefront of the field. Through in-depth discussions and analysis, we will examine the latest breakthroughs in numerical and AI-based modeling techniques, highlighting key trends, challenges, synergies and opportunities that are shaping the future of this field.
Date & Location
- June 2 to June 4, 2025
- ETH Zurich. Zurich, Switzerland
Key Objectives
- Analyze and discuss the latest advancements in numerical and AI-based weather and climate modeling.
- Identify key trends, challenges, and opportunities shaping the field.
- Leverage the synergies between numerical methods and AI-based approaches to advance weather and climate modeling, with a strong commitment to ethical, responsible, and reproducible AI practices.
Target Audience
- Scientific communities working on both numerical and AI-based modeling approaches
- Representatives from companies working on high performance computing (HPC) and machine learning methods
- Early career researchers in the above mentioned fields
Program
The three-day event includes tutorials, keynotes, oral presentations, poster sessions, and networking events. The preliminary program can be found on the on the "Program Overview" page.
Call for abstracts
The Call for Abstracts is now open. The abstract submission deadline is January 26, 2025!
Format
The EXCLAIM symposium is organized as an on-site event with 150 to 200 expected participants. Additionally, the sessions will be live-streamed (one-way streaming). For both formats, places are limited and registration is necessary (opens at the beginning of March 2025).
Contributors whose submissions are accepted for presentation at the symposium, need to present their work on-site in Zurich.
The official language of the symposium is English.