Since 2017, we have developed deep learning technologies such as 3D pixel convolutional recurrent network models based on hidden space conditional generation models and adversarial generation network models for short-term approaching prediction of severe convective storms and classified severe convective weather. We have formed an advanced technical system that combines physical laws, mechanisms, and artificial intelligence to monitor, predict, and predict severe convective weather.
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