Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches

Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches

Sea salinity is one of the indicators of the global water cycle and affects the surface and deep circulation of the ocean. While passive microwave satellite sensors have been used to monitor sea surface salinity (SSS), the uncertainties from radio frequency interference (RFI) and low sea surface tem...

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Bibliographic Details
Main Authors: Eunna Jang, Young Jun Kim, Jungho Im, Young-Gyu Park
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:GIScience & Remote Sensing
Subjects:
smap
sea surface salinity
passive microwave
coastal regions
random forest
hycom
Online Access:http://dx.doi.org/10.1080/15481603.2021.1872228

Internet

http://dx.doi.org/10.1080/15481603.2021.1872228

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