FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting

19 May 2019 Chao Tan Xin Feng Jianwu Long Li Geng

With the highly demand of large-scale and real-time weather service for public, a refinement of short-time cloudage prediction has become an essential part of the weather forecast productions. To provide a weather-service-compliant cloudage nowcasting, in this paper, we propose a novel hierarchical Convolutional Long-Short-Term Memory network based deep learning model, which we term as FORECAST-CLSTM, with a new Forecaster loss function to predict the future satellite cloud images... (read more)

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METHOD TYPE
Tanh Activation
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Sigmoid Activation
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Convolution
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ConvLSTM
Recurrent Neural Networks
Memory Network
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