Efficient Generative Modeling For Weather

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SALVA RÜHLING CACHAY (UC San Diego) ABSTRACT: Accurate and reliable Christian Lessig, Senior Scientist at ECMWF and Team Lead for Machine Learning This talk will provide an overview on the use of machine learning in Earth system For more than a century, meteorologists have combined atmospheric science, physics, and heavy-duty computation to bring us ... In this video, we explore the application of Transformer-based deep learning We're discussing "Learning skillful medium-range global

A talk by Guillaume Couairon, PhD, AI Researcher at INRIA One of the guiding principles for designing AI-based In this AI Research Roundup episode, Alex discusses the paper: 'Zooming in: Amy McGovern of the University of Oklahoma explains how AI

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AI reshapes weather forecasts, predicts storms with unprecedented accuracy
WeatherNext 2: Our most advanced weather forecasting model
Empowering Climate Resilience with Generative AI: Transformer-Driven Precipitation Nowcasting
Learning Better Weather Forecasts with AI
ClimaX: A Foundation Model for Weather and Climate with Dr. Aditya Grover
ArchesWeather: An Efficient AI Weather Forecasting Model at 1.5° Resolution
Generative Models: Local Climate Risk
What new AI weather models could mean for the future of forecasting
How AI Upscaling Improves Weather Forecasts

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Last Updated: June 23, 2026

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