An Ensemble-Based Machine Learning Model for Estimation of Subsurface Thermal Structure in the South China Sea

An Ensemble-Based Machine Learning Model for Estimation of Subsurface Thermal Structure in the South China Sea

Reconstructing the vertical structures of the ocean from sea surface information is of great importance for ocean and climate studies. In this study, an ensemble machine learning (Ens-ML) model is proposed to retrieve ocean subsurface thermal structure (OSTS) by using satellite-derived sea surface d...

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Bibliographic Details
Main Authors: Jifeng Qi, Chuanyu Liu, Jianwei Chi, Delei Li, Le Gao, Baoshu Yin
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
AI oceanography
machine learning
ensemble modeling
ocean subsurface thermal structure
South China Sea
satellite oceanography
Online Access:https://www.mdpi.com/2072-4292/14/13/3207

Internet

https://www.mdpi.com/2072-4292/14/13/3207

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