A Graph Memory Neural Network for Sea Surface Temperature Prediction

A Graph Memory Neural Network for Sea Surface Temperature Prediction

Sea surface temperature (SST) is a key factor in the marine environment, and its accurate forecasting is important for climatic research, ecological preservation, and economic progression. Existing methods mostly rely on convolutional networks, which encounter difficulties in encoding irregular data...

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Bibliographic Details
Main Authors: Shuchen Liang, Anming Zhao, Mengjiao Qin, Linshu Hu, Sensen Wu, Zhenhong Du, Renyi Liu
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
sea surface temperature
spatiotemporal prediction
deep learning
graph neural network
Online Access:https://www.mdpi.com/2072-4292/15/14/3539

Internet

https://www.mdpi.com/2072-4292/15/14/3539

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