Program Overview

• Session A - Creating the foundations of AI-based modeling of weather and climate
• Session B - Harnessing the power of AI in modeling weather and climate
• Session C - Harnessing the power of physics-based modeling of weather and climate
• Session D - Merging AI and physics-based modeling of weather and climate

Session A - Creating the foundations of AI-based modeling of weather and climate

Recent years have seen an explosion of new ideas and approaches of how AI-based methods can be used to model weather and climate. In this session, we invite contributions that focus on the methods and the foundations of AI in the field of weather and climate modeling. The breath of methods is wide, and can include methods that aim to emulate existing models, methods that aim to replace existing parameterizations, or methods that focus on equation discovery. We thereby welcome contributions across the full spectrum of implementation, including those that have already been applied successfully and those that are currently more at the conceptual level.

Session B - Harnessing the power of AI in modeling weather and climate

The studies showing the power of GraphCast and other AI-based modeling approaches for weather and climate have had a transformative impact on the field. In this session, we invite contributions that demonstrate the power of AI in the modeling of weather and climate. The focus is on the scientific insight gained by following this approach, and the specific advantages and disadvantages emerging from the applications.

Session C - Harnessing the power of physics-based modeling of weather and climate

The capability of pushing physics-based models toward kilometer-scale grid spacing globally enables revolutionary insights into earth system processes. In this session, we invite contributions that demonstrate the power of high-resolution physics-based modeling of the earth system and its components and showcase insights that can be gained from this approach.