--------------------
- Moving toward finer scales in oceanography: Predictive linear functional model of Chlorophyll a profile from light data doi link

Auteur(s): Bayle S., Monestiez Pascal, Guinet Christophe, Nerini D.

(Article) Publié: Progress In Oceanography, vol. 134 p.221-231 (2015)


Ref HAL: hal-01293238_v1
DOI: 10.1016/j.pocean.2015.02.001
Exporter : BibTex | endNote
Résumé:

The Southern Ocean plays a key role in ocean–atmosphere carbon dioxide fluxes. Estimation of carbonexchanges between ocean and atmosphere must rely on accurate estimations of primary productivitywhich require measurements of phytoplankton concentration within the water column. In this paper,we are interested in relationships between primary productivity and light in the Antarctic ocean. Theoriginality of this work is twofold. Starting from physical hypothesis, a statistical model is constructedfor the prediction of Chlorophyll a (Chl a) profiles where light profiles are used as a covariate. Taking intoaccount of the functional nature of the data, solutions are proposed to estimate continuous vertical profilesfrom discrete data sampled by elephant seals equipped with a new generation of oceanographic tags.Bootstrapped prediction intervals show a good quality of prediction of Chl a profiles, giving access to theshape of the profiles along depth and to the submesoscale structure of phytoplankton within the euphoticlayer of the Southern Ocean.