AS
Atmospheric Sciences

Paul Griffiths

Paul T. Griffiths is a Lecturer in the School of Chemistry at the University of Bristol. In his research he utilizes Earth System Models to investigate the complex couplings between atmospheric composition and climate change. His work focuses on quantifying tropospheric oxidant trends, the impact of chemistry-climate interactions, and the use of ML/AI techniques in atmospheric chemistry. He currently contributes to the development of the UK Chemistry and Aerosol (UKCA) model and co-chairs the Tropospheric Ozone Assessment Report (TOAR) Working Group on Machine Learning for Ozone (ML4O3).

Harnessing Machine Learning to Advance Tropospheric Ozone Science

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]