• Corpus ID: 214693028

MetNet: A Neural Weather Model for Precipitation Forecasting

@article{Snderby2020MetNetAN,
  title={MetNet: A Neural Weather Model for Precipitation Forecasting},
  author={Casper Kaae S{\o}nderby and Lasse Espeholt and Jonathan Heek and Mostafa Dehghani and Avital Oliver and Tim Salimans and Shreya Agrawal and Jason Hickey and Nal Kalchbrenner},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.12140}
}
Weather forecasting is a long standing scientific challenge with direct social and economic impact. The task is suitable for deep neural networks due to vast amounts of continuously collected data and a rich spatial and temporal structure that presents long range dependencies. We introduce MetNet, a neural network that forecasts precipitation up to 8 hours into the future at the high spatial resolution of 1 km$^2$ and at the temporal resolution of 2 minutes with a latency in the order of… 
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