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Convolutional LSTM Network: A Machine Learning Approach ...

Convolutional LSTM Network: A Machine LearningApproach for Precipitation NowcastingXingjian Shi Zhourong Chen Hao Wang Dit-Yan YeungDepartment of Computer Science and EngineeringHong Kong University of Science and Wong Wang-chun WooHong Kong ObservatoryHong Kong, goal of precipitation nowcasting is to predict the future rainfall intensity in alocal region over a relatively short period of time. Very few previous studies haveexamined this crucial and challenging weather forecasting problem from the ma-chine Learning perspective. In this paper, we formulate precipitation nowcastingas a spatiotemporal sequence forecasting problem in which both the input and theprediction target are spatiotemporal sequences.

Multiple LSTMs can be stacked and temporally concatenated to form more complex structures. Such models have been applied to solve many real-life sequence modeling problems [23, 26]. 3 The Model We now present our ConvLSTM network. Although the FC …

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