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Today's weather forecasts all come from the most powerful computers on earth, and they can't even accurately tell you whether it will rain tomorrow or not. They rely on millions of calculations using heavy mathematical algorithms to predict the weather.
What if we could replace all this with artificial intelligence by analyzing weather patterns from the past 40 years to predict the future? This would have been unthinkable ten years ago, and today we are not far from it.
References:
The article was about: JA Weyn, DR Durran and R. Caruana, “Improving data-driven global Weather forecast using deep convolutional neural networks on a cubed sphere,” Journal of Advances in Model-ing Earth Systems, vol. 12, no. September 9, 2020,issn: 1942-2466.doi:10.1029/2020ms002109.[Online]. Available: http://dx.doi.org/10.1029/2020MS002109.
Code: https://github.com/jweyn/DLWP-CS
CNN explainer video: https://youtu.be/YUyec4eCEiY
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Chapters:
0:00 Hey! Tap the thumbs up button and subscribe. You'll learn a lot of fun things, I promise.
0:45 The paper
2:48 More details about the DLWP method
7:42 Code, paper and conclusion
Song credits: https://soundcloud.com/mattis-rodrigue/sans-titre
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