Can Empirical Algorithms Successfully Estimate Aragonite Saturation State in the Subpolar North Atlantic?

Can Empirical Algorithms Successfully Estimate Aragonite Saturation State in the Subpolar North Atlantic?

The aragonite saturation state (ΩAr) in the subpolar North Atlantic was derived using new regional empirical algorithms. These multiple regression algorithms were developed using the bin-averaged GLODAPv2 data of commonly observed oceanographic variables [temperature (T), salinity (S), pressure (P),...

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Bibliographic Details
Main Authors: Daniela Turk, Michael Dowd, Siv K. Lauvset, Jannes Koelling, Fernando Alonso-Pérez, Fiz F. Pérez
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-12-01
Series:Frontiers in Marine Science
Subjects:
aragonite saturation state
empirical algorithms
autonomous sensors
commonly observed oceanic variables
GLODAPv2
subpolar North Atlantic
Online Access:http://journal.frontiersin.org/article/10.3389/fmars.2017.00385/full

Internet

http://journal.frontiersin.org/article/10.3389/fmars.2017.00385/full

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