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Stephan Rasp and Sebastian Lerch

. In the atmospheric sciences, neural networks have been used to detect extreme weather in climate datasets ( Liu et al. 2016 ) and parameterize subgrid processes in general circulation models ( Gentine et al. 2018 ; Rasp et al. 2018 ). Neural networks have also been used for forecasting solar irradiances ( Wang et al. 2012 ; Chu et al. 2013 ) and damaging winds ( Lagerquist et al. 2017 ). However, the complexity of the neural networks used in these studies was limited. Fig . 1. Schematic of

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