Top Tweets for #WeatherML

2 months ago

The ultimate proof is in the calibration. With a Mean Error holding at 1.767 and a Brier Score of 0.0534 across continental data points, TorCAST isn't just reacting to warnings—it's actively reading the environment. https://t.co/xhCEURGWZe #TorCAST #WeatherML

TorCASTWX's tweet photo. The ultimate proof is in the calibration. With a Mean Error holding at 1.767 and a Brier Score of 0.0534 across continental data points, TorCAST isn't just reacting to warnings—it's actively reading the environment.
https://t.co/xhCEURGWZe

#TorCAST #WeatherML https://t.co/J2OeZ1o2aK

Gianpaolo Balsamo @gpbalsamo

almost 3 years ago

@ECMWF Matt Chantry gave an inspiring lecture on the Rise of #AI & Machine Learning #ML for #Weather at the 2023 Annual Seminar #AS2023. Experimental #WeatherML models run by #ECMWF are now on #ECchart, see for instance @GoogleDeepMind #GraphCast forecasts https://t.co/LaSjyAIBoE

gpbalsamo's tweet photo. @ECMWF Matt Chantry gave an inspiring lecture on the Rise of #AI & Machine Learning #ML for #Weather at the 2023 Annual Seminar #AS2023.
Experimental #WeatherML models run by #ECMWF are now on #ECchart, see for instance @GoogleDeepMind #GraphCast forecasts https://t.co/LaSjyAIBoE https://t.co/Cc4VMh5KpS

ECMWF @ECMWF

almost 3 years ago

This afternoon at #AS2023, Matthew Chantry from #ECMWF explores some applications of #reanalysis in #MachineLearning and looks towards the future of this domain. 'Reanalysis: the bedrock of machine learning of the Earth system' 🔴 Watch from 14:00 BST ➡️ https://t.co/4QE5fqWgc0

Top Tweets for #WeatherML

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