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Luke Barrington
Director of Climate, Weather & Geospatial AI at Google
Luke Barrington is the Director of Climate, Weather & Earth AI at Google, a position he has held since June 2016. Based in the San Francisco Bay Area, he focuses on innovation in artificial intelligence and machine learning, developing applications that have a positive impact on the world and launching transformative products.1
Professional Background
Barrington has a diverse background in technology and product management:
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GlobalXplorer° Board Member (2018-2022): He contributed to a non-profit initiative that uses crowdsourcing and blockchain technology to engage communities in archaeological efforts through satellite imagery.1
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Product Lead at Wing (2018): He played a key role in launching the world's first commercial drone delivery service in Canberra, Australia.1
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Roles at DigitalGlobe (2013-2016): He held various positions, including Senior Manager of R&D and Director of New Products, where he managed satellite image technology platforms and developed products for online mapping and geospatial applications.1
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Founder & CTO of Tomnod (2011-2013): Barrington founded this crowdsourcing platform for satellite imagery, which was later acquired by DigitalGlobe.1
Education
He holds a PhD in Electrical and Computer Engineering from UC San Diego, where his research focused on machine understanding of music.1
Current Contributions
At Google, Barrington is involved in advancing machine learning techniques for weather forecasting, contributing to projects like WeatherBench, which aims to improve data-driven weather models.3 His work is pivotal in integrating AI with climate science, enhancing predictive capabilities for weather and climate-related challenges.2
Highlights
Google's AI weather model predicted Hurricane Beryl more precisely than traditional supercomputer forecasts: https://lnkd.in/ebPGY6t5
It's been a very exciting few months as we see AI models working hand-in-hand with meteorologists to improve crises predicitions as well as day-to-day weather forecasts
AI continues to have a big impact on weather and climate forecasting. NeuralGCM, the latest model from my colleagues at @Google Research, has just been published in Nature Magazine.
NeuralGCM is unique in combining a physics-based general circulation model with a neural network for small-scale processes. It's extremely fast: 3 to 5 orders of magnitude more computationally efficient than current state-of-the-art models at similar or improved accuracy -- meaning you can run it on a laptop instead of a supercomputer!
Most exciting, NeuralGCM pushes AI weather models into the realm of climate simulation, reducing errors by up to 3x compared to atmosphere-only AMIP models. It makes realistic simulations of extreme weather events such as tropical cyclones.
https://lnkd.in/eqc-k7ar
Congrats Stephan Hoyer and the NeuralGCM team!
