Scholar
Duncan Watson-Parris
Google Scholar ID: LK2IWlAAAAAJ
University of California San Diego
Citations & Impact
Citations
4,098
H-index
33
i10-index
52
Publications
20
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published in Nature Climate Change highlighting the importance of aerosols for reducing uncertainty in future warming; used machine learning on AWS to process vast quantities of satellite imagery; developed fast, flexible emulators using neural architecture search that are applicable to a wide range of physical simulators.
Research Experience
- Leading the development of a variety of machine learning tools and techniques to optimally combine various observational datasets, including global satellite and aircraft measurements, to constrain and improve these models; leading projects such as climate model emulation and detecting ship tracks.
Background
- An atmospheric physicist working at the interface of climate research and machine learning. Leads the Climate Analytics Lab, focusing on understanding the interactions between aerosols and clouds, and their representation within global climate models.
Miscellany
- Convenes the EGU session on 'Machine Learning for Climate Science' and co-convenes the 'AI and Climate Science' discovery series as part of the United Nations’ AI for Good program.
