Mathematics and Artificial Intelligence for Weather and Climate

Overview

In this workshop, we aim to gather experts and practitioners working on the grand challenge of better understanding and predicting weather extremes under climate change. In particular, we aim to involve world-leading mathematicians, scientists and academics that are actively working on modelling the interplay between slow climate variables and fast weather patterns and extremes, vision brought forward by Hasselmann. To this end, we plan to cover a number of different mathematical frameworks that arise from Hasselmann’s vision, such as dynamical system theory (DST), extreme value theory (EVT), quantum field theory (QFT), stochastic differential equations (SDEs), as well as artificial intelligence (AI), and their synergistic compositions, applied to emerging weather patterns, extremes, and their climate modulation.

These topics cover both established and novel areas of research in mathematics. Bringing together researchers from these different research communities promotes the cross-fertilization that is needed to further advance their respective fields, as well as weather and climate modeling.

Themes:
1. Critical challenges in weather and climate.
2. Mathematical and physical foundations.
3. Future of mathematics and physics for weather and climate.
4. Mathematics and physics in the era of AI
5. AI methods for weather and climate
6. Future of AI for weather and climate.
7. Policy, ethics, and future directions.