Machine Learning for Weather Forecasts at ECMWF

Published: 24 April 2020
on channel: insideHPC Report
402
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In this video from the Stanford HPC Conference, Peter Dueben from ECMWF describes how they are using Machine Learning to improve weather forecasting.

"I will describe 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 than 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."


Learn more: https://www.ecmwf.int/
and
http://www.hpcadvisorycouncil.com/eve...

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