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A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data
A number of ML baselines for tornado detection are developed and compared, including a novel deep learning (DL) architecture capable of processing raw radar imagery without the need for manual feature extraction required for existing ML algorithms.
Distributed Deep Learning for Precipitation Nowcasting
Effective training of Deep Neural Networks requires massive amounts of data and compute.
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