Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach

Reconstructing Global Chlorophyll-a Variations Using a Non-linear Statistical Approach

Monitoring the spatio-temporal variations of surface chlorophyll-a concentration (Chl, a proxy of phytoplankton biomass) greatly benefited from the availability of continuous and global ocean color satellite measurements from 1997 onward. These two decades of satellite observations are however still...

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Bibliographic Details
Main Authors: Elodie Martinez, Thomas Gorgues, Matthieu Lengaigne, Clement Fontana, Raphaëlle Sauzède, Christophe Menkes, Julia Uitz, Emanuele Di Lorenzo, Ronan Fablet
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Marine Science
Subjects:
machine learning
phytoplankton variability
satellite ocean color
decadal variability
global scale
Online Access:https://www.frontiersin.org/article/10.3389/fmars.2020.00464/full

Internet

https://www.frontiersin.org/article/10.3389/fmars.2020.00464/full

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