Can empirical algorithms successfully estimate aragonite saturation state in the subpolar North Atlantic?

• Published in: Frontiers in Marine Science
• Main Authors: Turk, Daniela, Dowd, MIchael, Lauvset, Siv K., Koelling, Jannes, Alonso Pérez, Fernando, Pérez, Fiz F.
• Other Authors: European Commission, Ministerio de Economía y Competitividad (España)
• Format: Article in Journal/Newspaper
• Language: English
• Published: Frontiers Media 2017
• Subjects: Aragonite saturation state; Empirical algorithms; Autonomous sensors; Commonly observed oceanic variables; GLODAPv2; Subpolar North Atlantic; Irminger Sea; Labrador Sea; North Atlantic
• Online Access: http://hdl.handle.net/10261/306570; https://doi.org/10.3389/fmars.2017.00385

17 pages, 4 tables, 8 figures 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...