There is a slow-moving silver shape drifting over the forests and cities of North Rhine-Westphalia. From the ground, it looks almost ceremonial — a Zeppelin NT gliding through the air as though time had reversed by a century. Inside, sensors are humming. And Eva Pfannerstill is watching the data appear. She is not there to admire the view, though the Rhine-Ruhr region from the air is something. Sh ...[Read More]
Atmospheric Chemistry
Harnessing Machine Learning to Advance Tropospheric Ozone Science
Machine learning (ML) and Artificial Intelligence (AI) offer powerful tools to address long-standing scientific challenges. At the molecular scale, we’ve seen projects like AlphaFold discover unknown protein structures and how they might interact with other molecules. At the planetary scale, ML-driven models like GraphCast (Google), AIFS (ECMWF) and ACE (Allen Institute for AI) are revolutionizin ...[Read More]