Estimates of Water-Column Nutrient Concentrations and Carbonate System Parameters in the Global Ocean: A Novel Approach Based on Neural Networks

Estimates of Water-Column Nutrient Concentrations and Carbonate System Parameters in the Global Ocean: A Novel Approach Based on Neural Networks

A neural network-based method (CANYON: CArbonate system and Nutrients concentration from hYdrological properties and Oxygen using a Neural-network) was developed to estimate water-column (i.e., from surface to 8,000 m depth) biogeochemically relevant variables in the Global Ocean. These are the conc...

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Bibliographic Details
Main Authors: Raphaëlle Sauzède, Henry C. Bittig, Hervé Claustre, Orens Pasqueron de Fommervault, Jean-Pierre Gattuso, Louis Legendre, Kenneth S. Johnson
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-05-01
Series:Frontiers in Marine Science
Subjects:
neural network
nutrients
carbonate system
global ocean
GLODAPv2 database
profiling floats
Online Access:http://journal.frontiersin.org/article/10.3389/fmars.2017.00128/full

Internet

http://journal.frontiersin.org/article/10.3389/fmars.2017.00128/full

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