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Posts by Duncan Watson-Parris

Postdoctoral Researcher: AI for Climate Science

If you're excited about applying modern ML to real-world scientific discovery and care about getting climate models right, I'd love to hear from you. Full ad: docs.google.com/document/d/e...

1 month ago 2 0 0 0
Google.org: Google's philanthropy Google.org connects nonprofits to funding & additional resources. Learn about our philanthropy program and goal to aid underserved communities.

๐ŸŒ We're hiring a postdoc at the intersection of cutting-edge #AI and #Earth system science. Help us redefine how we build and evaluate the next generation of climate models. Based at @ucsandiego.bsky.social , funded by Google.org. ๐Ÿงต

1 month ago 6 5 1 0

This is a great read, and pretty convincing! Maybe we can move on from arguing about AGI and start arguing about if/when we will create a superintelligence...

2 months ago 3 0 0 0
GitHub - climate-analytics-lab/jax-gcm: GCM Physics written in JAX GCM Physics written in JAX. Contribute to climate-analytics-lab/jax-gcm development by creating an account on GitHub.

Huge congrats to co-leads Ellen H. Davenport & J. Varan Madan!

๐Ÿ“ฆ pip install jcm ๐Ÿ“„ Paper: egusphere.copernicus.org/preprints/20... ๐Ÿ’ป Code: github.com/climate-anal...

2 months ago 4 0 0 0

We're just getting started. ๐Ÿ”ฎ

This release sets the stage for a fully coupled, differentiable Earth System Model. We are actively developing this next phase with colleagues at U Copenhagen, Columbia, DLR, and AI2.

Watch this space...

2 months ago 2 0 1 0

Key Innovations: โšก๏ธ True Differentiability: Direct gradients for calibration & ML integration. ๐Ÿงฉ Modular: Couples SPEEDY physics to the Dinosaur dynamical core. ๐Ÿš€ Portable: Seamless on CPUs, GPUs, & TPUs. โœ… Validated: Matches Fortran SPEEDY at T31.

2 months ago 5 1 1 0

Bridging Physics & AI in Climate Modeling ๐ŸŒ๐Ÿค–

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.

2 months ago 23 8 1 2
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Ever wondered whether there's a principled way to calibrate all those parameters controlling climate models? In our new paper we show how to calibrate climate model parameterizations using ideas from Bayesian experimental design: doi.org/10.1088/3049... . (1/N)

3 months ago 4 1 1 0
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Just finished @hannahritchie.bsky.social's fantastic book "Not the End of the World" which nicely articulates the things we should, and should not, be worrying about when it comes to sustainability. It's a refreshing and empowering take backed by the latest data. Definitely recommend!

5 months ago 7 0 0 0

With Philip Stier, Laure Zanna and Tom Beucler
#Climate #ML

7 months ago 0 0 0 0
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AI for Good, All Year - Always Online Our AI powered matchmaking community platform to connect AI innovators with problem owners.

Chris gave one of our opening talks a few years ago and I can't wait to hear about his vision for the future of the field.

The talk will be live-streamed on 23 September at 17:00 CEST! Sign up for free here: neuralnetwork.aiforgood.itu.int/event/ai-for...

7 months ago 0 0 1 0
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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'.

7 months ago 12 2 1 0
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The Weather & Climate Livestream Join us starting May 28th, as meteorologists and climate scientists from across the US share their research and answer your questions.

One hour into the #Weather and #Climate Livestream! You can join any of the remaining 99 hours right here: wclivestream.com

10 months ago 5 1 0 0
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Climate and weather scientists are joining the anti-Trump resistance in the most โ€˜scientist-iestโ€™ way | CNN In the face of steep funding cuts for climate and weather research and forecasting, scientists have found a new way of engaging the public.

In the face of steep funding cuts for climate and weather research and forecasting, scientists have found a new way of engaging the public: livestreamed presentations.

10 months ago 327 82 17 12

Please consider submitting an abstract to the session on 'Understanding reactive gases, aerosols, and land use for air quality and climate change' convened by Fiona O'Connor, @dwatsonparris.bsky.social, Stephanie Fiedler, @flossie-brown.bsky.social and me! Deadline August 13th.

10 months ago 3 5 0 0

Having made an abortive attempt with Threads I'm now trying BlueSky! Looking forward to interacting with a more positive and engaging community :-)

1 year ago 13 0 2 0
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Industrial Pollution Can Increase Snowfall and Reduce Cloud Cover New research co-authored by Duncan Watson-Parris of UC San Diegoโ€™s Scripps Institution of Oceanography and the HalฤฑcฤฑoฤŸlu Data Science Institute finds that industrial pollution in Earthโ€™s colder latit...

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)

1 year ago 23 14 1 0