We all know that, there are weather prediction models and case studies. But I don't understand the reason, why people trust them rather than weather forecast on TV.
I mean, what is advantages of Machine Learning weather prediction over classic weather forecast?
Topic forecasting difference prediction machine-learning
Category Data Science
I'm not a meteorologist but in my humble opinion, Numerical Weather Prediction and especially WRF (stands for Weather Research and Forecasting - a high resolution & mesoscale model, unlike the old single-layer barotropic models) still makes decent predictions against ML in general.
One area comes to my mind that ML is doing better is precipitation nowcast (very short term forecasts - up to 2 hours). Deepmind just released a study recently.
Also you can see how accurate the global NWP yourself from the open datasets (i.e. https://www.ecmwf.int/)
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