Application of multi-regression machine learning algorithms to solve ocean water mass mixing in the Atlantic Ocean

Application of multi-regression machine learning algorithms to solve ocean water mass mixing in the Atlantic Ocean

The distribution of any non-conservative variable in the deep open ocean results from the circulation and mixing of water masses (WMs) of contrasting origin and from the initial preformed composition, modified during ongoing simultaneous biological and/or geochemical processes. Estimating the contri...

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Bibliographic Details
Main Authors: Cristina Romera-Castillo, Jónathan Heras, Marta Álvarez, X. Antón Álvarez-Salgado, Gadea Mata, Eduardo Sáenz-de-Cabezón
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Marine Science
Subjects:
machine learning
extremely randomized trees
optimum multi-parameter analysis
water mass mixing
Atlantic Ocean
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2022.904492/full

Internet

https://www.frontiersin.org/articles/10.3389/fmars.2022.904492/full

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