DUNCAN WATSON-PARRIS

Role and Affiliation: Duncan Watson-Parris is an Assistant Professor at the Scripps Institution of Oceanography, UC San Diego, leading the Climate Analytics Lab. His research focuses on aerosol-cloud interactions, machine learning applications in climate science, and improving climate model projections through interdisciplinary approaches.

• Education: BSc from Cardiff University (UK), PhD from University of Manchester (UK).
• Key Projects: ClimateBench (data-driven climate projections benchmark), machine learning tools for satellite imagery analysis, and detection of aerosol-induced cloud perturbations.

Research Interests: Watson-Parris bridges physics and data science to address uncertainties in climate modeling. His work includes:

• Developing emulators to constrain aerosol-cloud interactions and radiative forcing.
• Analyzing ship-track detection in satellite data to quantify aerosol effects.
• Advancing AI tools for climate science through initiatives like the EGU Machine Learning session and UN AI for Good programs.

Grants and Collaborations: Collaborates internationally on projects such as ClimateBench and participates in model intercomparison projects (e.g., AerChemMIP). His work is supported by funding for perturbed parameter ensembles and emulation frameworks like ESEm.

Labs/Teams: Leads the Climate Analytics Lab, which focuses on machine learning-driven climate research. Engages with global networks including the Detection and Attribution Model Intercomparison Project (DAMIP).