A Novel Multi-Input Multi-Output Recurrent Neural Network Based on Multimodal Fusion and Spatiotemporal Prediction for 0–4 Hour Precipitation Nowcasting

A Novel Multi-Input Multi-Output Recurrent Neural Network Based on Multimodal Fusion and Spatiotemporal Prediction for 0–4 Hour Precipitation Nowcasting

Multi-source meteorological data can reflect the development process of single meteorological elements from different angles. Making full use of multi-source meteorological data is an effective method to improve the performance of weather nowcasting. For precipitation nowcasting, this paper proposes...

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Bibliographic Details
Main Authors: Fuhan Zhang, Xiaodong Wang, Jiping Guan
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Atmosphere
Subjects:
radar echo data
reanalysis data
precipitation amount grid data
deep learning
spatiotemporal prediction
multimodal fusion
Online Access:https://www.mdpi.com/2073-4433/12/12/1596

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