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A paper published last year demonstrated that machine learning techniques similar to image upscaling can improve weather forecasts, particularly the 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 document: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022MS003120
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Some stock footage courtesy of Getty.
Edited by Luke Negus.
How is the weather forecast? Why are weather forecasts wrong? How to predict rain accurately? Can you use machine learning to predict the weather? This video is about a scientific paper that combines machine learning techniques with weather forecasting, using a generative adversarial network to improve (subsample) UK rainfall forecasts. If you like videos from Jordan Harrod, Veritasium, or Real Engineering, you'll enjoy this science video about weather forecasting.
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