Improved sea surface salinity data for the Arctic Ocean derived from SMAP satellite data using machine learning approaches

Improved sea surface salinity data for the Arctic Ocean derived from SMAP satellite data using machine learning approaches

Salinity is among the key climate characteristics of the World Ocean. During the last 15 years, sea surface salinity (SSS) is measured using satellite passive microwave sensors. Standard retrieving SSS algorithms from remote sensing data were developed and verified for the most typical temperature a...

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Bibliographic Details
Main Authors: Alexander Savin, Mikhail Krinitskiy, Alexander Osadchiev
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Marine Science
Subjects:
sea surface salinity
machine learning
SMAP
river plume
Arctic Ocean
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2024.1358882/full

Internet

https://www.frontiersin.org/articles/10.3389/fmars.2024.1358882/full

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