Expanding high-resolution sea surface salinity estimation from coastal seas to open oceans through the synergistic use of multi-source data with machine learning

Expanding high-resolution sea surface salinity estimation from coastal seas to open oceans through the synergistic use of multi-source data with machine learning

High-spatiotemporal-resolution sea surface salinity (SSS) estimations are essential for understanding marine phenomena in both coastal seas and open oceans. Although studies have enhanced the resolution of SSS estimations using ocean color (OC) satellite data, the limited variance of OC signals and...

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Bibliographic Details
Main Authors: Taejun Sung, So-Hyun Kim, Seongmun Sim, Daehyeon Han, Eunna Jang, Jungho Im
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Sea surface salinity
Cold-water mass
Changjiang Diluted Water
SMAP
GOCI
HYCOM
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843225000743

Internet

http://www.sciencedirect.com/science/article/pii/S1569843225000743

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