Duncan Watson-Parris

@dwatsonparris.bsky.social

Climate scientist @UCSD using machine learning to improve our understanding of clouds and aerosols. 🏄‍♂️ Find out more about the Climate Analytics Lab here: https://climate-analytics-lab.github.io/

The Weather and Climate Livestream starts today at 4pm ET, and I am the first speaker, at 4:20! I'm going to talk about my own career, how it was enabled by many great people, federal agencies, and intellectual traditions, and the public benefits of the whole enterprise. wclivestream.com

The Weather & Climate Livestream

For 50 hours from June 1st to June 3rd 2026, scientists and science support staff from across the US will share their work and answer your questions, all with the goal of saving America's forecasts to...

wclivestream.com

Bridging Physics & AI in Climate Modeling 🌍🤖 Introducing JCM v1.0: A fully differentiable, intermediate-complexity atmospheric model built in Python/JAX. Training hybrid models is hard because legacy code lacks gradients. JCM solves this.

Excited to be kicking off another season of "AI and Climate Science" webinars as part of the UN 'AI for Good' Discovery series this quarter with a talk from Chris Bretherton reflecting on 'AI for climate modeling from present to future'.

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Industrial pollution in colder regions increases snowfall and reduces cloud cover, potentially boosting global warming by reducing the sunlight that clouds reflect back into space, according to a new study from Scripps Oceanography researcher Duncan Watson-Parris. (@dwatsonparris.bsky.social)

Industrial Pollution Can Increase Snowfall and Reduce Cloud Cover

New research co-authored by Duncan Watson-Parris of UC San Diego’s Scripps Institution of Oceanography and the Halıcıoğlu Data Science Institute finds that industrial pollution in Earth’s colder latit...

scripps.ucsd.edu