Article 4TH7G Progress and Challenges for the Use of Deep Learning to Improve Weather Forecasts

Progress and Challenges for the Use of Deep Learning to Improve Weather Forecasts

by
Rich Brueckner
from High-Performance Computing News Analysis | insideHPC on (#4TH7G)
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Peter Dueben from ECMWF gave this talk at the UK HPC Conference. "I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will then talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future."

The post Progress and Challenges for the Use of Deep Learning to Improve Weather Forecasts appeared first on insideHPC.

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