Prediction of Sea Surface Temperature in the China Seas Based on Long Short-Term Memory Neural Networks

Prediction of Sea Surface Temperature in the China Seas Based on Long Short-Term Memory Neural Networks

Sea surface temperature (SST) in the China Seas has shown an enhanced response in the accelerated global warming period and the hiatus period, causing local climate changes and affecting the health of coastal marine ecological systems. Therefore, SST distribution prediction in this area, especially...

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Bibliographic Details
Main Authors:	Li Wei, Lei Guan, Liqin Qu, Dongsheng Guo
Format:	Article
Language:	English
Published:	MDPI AG 2020-08-01
Series:	Remote Sensing
Subjects:	sea surface temperature (SST) neural networks long short-term memory (LSTM)
Online Access:	https://www.mdpi.com/2072-4292/12/17/2697

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