Short-term intensive rainfall forecasting model based on a hierarchical dynamic graph network

HIGHLIGHTS

• who: Huosheng Xie et al. from the Fujian Meteorological Observatory, Fuzhou, China have published the paper: Short-Term Intensive Rainfall Forecasting Model Based on a Hierarchical Dynamic Graph Network, in the Journal: Atmosphere 2022, 13, x FOR PEER REVIEW of 18/01/2017
• what: The authors focus on two types of short-term intensive rainfall forecasting methods .
• how: Based on deep learning and spatial-temporal sequence predictions this paper proposes a network. The Dynamic Graph Convolutional Recurrent Network (DGCRN) uses a highly dynamic graph construction method whereas the authors proposed a hierarchical graph . . .
  

   

  

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