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A generative adversarial network approach to (ensemble) weather prediction
We use a conditional deep convolutional generative adversarial network to predict the geopotential height of the 500 hPa pressure level, the two-meter temperature and the total precipitation for the next 24 hours over Europe.
Precipitation nowcasting using a stochastic variational frame predictor with learned prior distribution
We present a comparison to a standard convolutional LSTM network and assess the evolution of the structural similarity index for both methods.
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