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A paper last year demonstrated that machine learning techniques similar to image upscaling can improve the forecast of the weather, in particular notoriously difficult-to-predict precipitation. In this video I talk to two of the paper's authors about their Generative Adversarial Network (GAN) approach and how they adapted it to the chaotic system of the atmosphere.
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The paper: https://agupubs.onlinelibrary.wiley.c...
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Music by Epidemic Sound: http://epidemicsound.com
Some stock footage courtesy of Getty.
Edited by Luke Negus.
How is the weather predicted? Why are weather forecasts wrong? How to predict rain accurately? Can you use machine learning to predict the weatehr? This video is about a scientific paper that blends machine learning techniques with weather prediction, using a generative adversarial network to upscale (downsample) predictions of rainfall over the UK. If you like videos from Jordan Harrod, Veritasium, or Real Engineering you will enjoy this science video about predicting the weather.
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