A Method for Predicting High-Resolution 3D Variations in Temperature and Salinity Fields Using Multi-Source Ocean Data

A Method for Predicting High-Resolution 3D Variations in Temperature and Salinity Fields Using Multi-Source Ocean Data

High-resolution three-dimensional (3D) variations in ocean temperature and salinity fields are of great significance for ocean environment monitoring. Currently, AI-based 3D temperature and salinity field predictions rely on expensive 3D data, and as the prediction period increases, the stacking of...

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Bibliographic Details
Main Authors: Xiaohu Cao, Chang Liu, Shaoqing Zhang, Feng Gao
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Journal of Marine Science and Engineering
Subjects:
3D temperature and salinity fields
satellite remote sensing data
high-resolution temperature and salinity data
resource utilization efficiency
Online Access:https://www.mdpi.com/2077-1312/12/8/1396

Internet

https://www.mdpi.com/2077-1312/12/8/1396

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