ancestor in training. climate, weather and ai soufflé @GoogleAI. founder, former authority-ish figure @adroll. words are my own.

San Francisco
Joined March 2008
Aaron Bell retweeted
Google
@Google17 Nov 2025
Today @GoogleDeepMind and @GoogleResearch are introducing WeatherNext 2, our most advanced and efficient forecasting model. WeatherNext 2 can generate forecasts 8x faster and provide hundreds of possible weather outcomes for more accurate forecasts.
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Google Earth AI, our collection of geospatial AI models and datasets, is expanding globally and adding new capabilities. That includes Geospatial Reasoning, powered by Gemini, which automatically connects different Earth AI models - like weather forecasts, population maps + satellite imagery - to answer complex questions.  We’re also bringing new Earth AI models to Gemini capabilities in Google Earth, which make it easy to instantly find objects and discover patterns from satellite imagery. For example, analysts could spot harmful algae blooms that could impact drinking water supply, and issue warnings.
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Aaron Bell retweeted
Read how work by @UChicago, building on the AI-based NeuralGcM weather model developed & open-sourced by @GoogleResearch, is being used to more accurately predict the monsoon season in India and support farmer decision-making for 38M farmers in India. 🌱 blog.google/technology/resea…
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Aaron Bell retweeted
Our work on AI to improve cyclone prediction is likely to be quite impactful & save lives. We've been partnering w/ @NWSNHC, @metoffice & others for testing. This builds on years of work on improving general weather prediction using AI from @GoogleDeepMind & @GoogleResearch.
We’re using AI to improve cyclone prediction. 🌀 Introducing Weather Lab: a new interactive platform developed with @GoogleResearch, hosting our experimental AI weather model which can predict a cyclone’s track, intensity, size and structure. Here’s how it works. 🧵
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Aaron Bell retweeted
Great to see AI-based weather prediction being rolled out across Africa. This is important because traditional weather forecasts rely much more on ground-based radar, and in Africa, there simply aren't enough to give high quality traditional forecasts. blog.google/intl/en-africa/p…
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Aaron Bell retweeted
I'm really excited about this work. As the earth warms, wildfires are becoming more common in many places on earth. Early detection, before they burn out of control, is key to dramatically reducing their impact. Current early detection satellites are only able to detect fires that are 2-3 acres in size. With the FireSat constellation of 50 micro satellites for frequent coverage of every spot on Earth, and AI models trained on the sensor data, we'll be able to detect fires 1/400th that size (roughly 5x5 meters), enabling first responders to put out fires quickly. The first satellite will launch next year, and the whole constellation (critical for detecting fires quickly) will be operational in the following few years. Kudos to the whole team working on this at @GoogleResearch and to partners at @EarthFireAll, @MuonSpace and @MooreFound, and especially to my Google colleague Chris Van Arsdale, who has been working on this project for many years. Learn more: Blog: blog.google/outreach-initiat… Great video: youtu.be/pmQlXLaHT_Y Earth Fire Alliance website (@EarthFireAll is a 501c3 committed to accessible fire data from and for the entire planet): earthfirealliance.org/
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Aaron Bell retweeted
I'm incredibly proud to share NeuralGCM, our new AI and physics based approach to weather and climate modeling with state-of-the-art accuracy, published today in @Nature: nature.com/articles/s41586-0…
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The first major WeatherBench 2 update is now live, including: ➕ New models: (pseudo-)operational Pangu and GraphCast, FuXi, SphericalCNN and NeuralGCM ➕ Improved scorecards (incl. a probabilistic one) ➕ More comprehensive ERA5 and IFS ENS data sites.research.google/weathe…
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New research from @GoogleDeepMind in Science: our latest AI model GraphCast can predict weather conditions up to 10 days in advance more accurately + much faster than current systems, with potential for earlier warnings of extreme weather events. science.org/doi/10.1126/scie…
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Presenting GraphCast: our state-of-the-art AI model delivering 10-day weather forecasts with unprecedented accuracy in under one minute. 🌦️ It can even help predict the potential paths of cyclones further into the future. Here's how it works. 🧵 dpmd.ai/presenting-graphcast
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Aaron Bell retweeted
Really nice joint work from @GoogleResearch and @GoogleDeepMind on using deep-learning for weather forecasting. This approach produces much higher spatial+temporal resolution forecasts than traditional numerical approaches (see gif below), giving our users much more precise info!
Announcing MetNet-3, the first AI weather model to learn from sparse observations and outperform the top operational systems up to 24 hours ahead at high resolutions. A portion of its forecasts are now available across various Google products. Learn more→ goo.gle/40ljd2Y
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"The merge will reduce worldwide electricity consumption by 0.2%" - @drakefjustin
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This is not over, folks.
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There is no image from Mars Rover Perseverance with greater power to inspire our Earth human imagination than this one: This is an alien spaceship on an alien world. And it is 100% real.
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He will be a President for all of our families.
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It’s actually AOC plus 115 because that’s how many House and Senate members have cosponsored the most ambitious climate legislation in American history.
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“Narrative has been that addressing climate crisis is going to hurt economy. I believe that is plain wrong. I believe it will power huge economic boom that will look much like boom that powered carbon/mechanical/industrial economy from late 19th to late 20th century”- @fredwilson
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Aaron Bell retweeted
Why do some technologies (e.g solar) plunge in cost from extremely rapid learning rates, while others improve more slowly? Very interesting framework here for understanding the differences.
Thread (#1): What explains technologies' huge differences in experience tares? In a brand new paper in @Joule_CP, @absmalhotra and Tobi Schmidt argue it is the combination of 2 factors: complexity and customization need, see fig👇 doi.org/10.1016/j.joule.2020…
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Aaron Bell retweeted
We (@Google) are thrilled to be collaborators with @UofOklahoma and many other institutions (see blog post) on this new @NSF Institute to conduct research on using AI in weather, climate, and coastal oceanography. Now we're cookin'!
Replying to @UofOklahoma
@UofOklahoma is leading an @NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography that is being hailed as a “historic milestone in environmental science.” bit.ly/NSF-AI2ES
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Thought your feed could use some von Karman vortices. Enjoy their beauty.
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