MetNet Neural Weather Model

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MetNet: A Neural Weather Model for Precipitation Forecasting
Authors: Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner

Paper
Google AI Blog

Model Architecture

MetNet Architecture

The MetNet model consists of 3 parts

  • Spatial Downsampler
  • Temporal Encoder (Conv LSTM [1])
  • Spatial Aggregator (Axial Attention [2])


Resources

References

  1. ↑ Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo (2015). Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
  2. ↑ Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn, Tim Salimans (2019). Axial Attention in Multidimensional Transformers
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