Spatiotemporal Prediction of Monthly Sea Subsurface Temperature Fields Using a 3D U-Net-Based Model

The ability to monitor and predict sea temperature is crucial for determining the likelihood that ocean-related events will occur. However, most studies have focused on predicting sea surface temperature, and less attention has been paid to predicting sea subsurface temperature (SSbT), which can ref...

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Hlavní autoři:	Nengli Sun, Zeming Zhou, Qian Li, Xuan Zhou
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-09-01
Edice:	Remote Sensing
Témata:	sea temperature prediction reconstructed sea subsurface temperature data 3D U-Net
On-line přístup:	https://www.mdpi.com/2072-4292/14/19/4890
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