Gated attention recurrent neural network: a deeping learning approach for radar-based precipitation nowcasting

HIGHLIGHTS

  • who: Guanchen Wu et al. from the Department of Information Engineering, Guizhou Communications Polytechnic, Guiyang, China College of Computer Science and Technology, Hengyang Normal University, Hengyang, China have published the research: Gated Attention Recurrent Neural Network: A Deeping Learning Approach for Radar-Based Precipitation Nowcasting, in the Journal: Water 2022, 2570 of /2022/
  • what: The authors propose a network which satisfies the multi-order Markov properties to create more accurate spatiotemporal predictions. The experiments show that the GARNN network captures the spatiotemporal characteristics better and obtains excellent results in the forecasting with radar echoes. The . . .

     

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