Duncan Watson-Parris

Duncan Watson-Parris

Duncan Watson-Parris is an atmospheric physicist working at the interface of climate research and machine learning to investigate the effect of anthropogenic aerosols on the climate. Using cutting-edge machine learning techniques to combine global aerosol models with novel observational constraints he looks to better understand complex aerosol-climate interactions and improve projections of climate change. He is also keen to foster the application of machine learning to climate science questions more broadly and convenes the Machine Learning for Climate Science session at the European Geosciences Union (EGU), and co-convenes the UN AI for Good ‘Climate Science’ Discovery series. Duncan is an Assistant Professor at the University of California San Diego.

Share this speaker
Share This Speaker
  • Organization
    University of California San Diego
  • Profession
    Assistant Professor
Related sessions
Discovery - AI and Climate Science
OnlineGOAL 13
13 March 2024
17:00 - 18:15
EST - New York
CST - Beijing
PST - Los Angeles
Global climate change projections are still subject to substantial modelling...
GOAL 13
19 January 2024
11:00 - 17:00
EST - New York
CST - Beijing
PST - Los Angeles
This is a replay of a workshop that took place...
Discovery - AI and Climate Science
OnlineGOAL 13
6 March 2024
17:00 - 18:15
EST - New York
CST - Beijing
PST - Los Angeles
In the realm of predicting extreme regional weather and climate...
Discovery - AI and Climate Science
OnlineGOAL 10GOAL 11+3
21 February 2024
17:00 - 18:15
EST - New York
CST - Beijing
PST - Los Angeles
In this talk, Professor McGovern will be providing an overview of...
Discovery - AI and Climate Science
OnlineGOAL 13
29 November 2023
17:00 - 18:15
EST - New York
CST - Beijing
PST - Los Angeles
In 1950, weather prediction became numerical. This first revolution has...
Discovery - AI and Climate Science
OnlineGOAL 11GOAL 13+1
15 November 2023
14:00 - 15:15
EST - New York
CST - Beijing
PST - Los Angeles
In climate modeling, achieving precise prediction of precipitation intensity remains...
GOAL 13
5 July 2023
09:00 - 18:00
EST - New York
CST - Beijing
PST - Los Angeles
Earth observation and climate data tend to be extremely large...
Discovery - AI and Climate Science
OnlineGOAL 13
3 May 2023
17:00 - 18:30
EST - New York
CST - Beijing
PST - Los Angeles
The global climate adaptation and mitigation efforts require reliable information...
Discovery - AI and Climate Science
OnlineGOAL 13
5 April 2023
17:00 - 18:30
EST - New York
CST - Beijing
PST - Los Angeles
Studying low-likelihood high-impact extreme weather and climate events in a...

Are you sure you want to remove this speaker?