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

• Published in: Progress in Oceanography
• Main Authors: Bayle, Séverine, Monestiez, Pascal, P., Guinet, Christophe, Nerini, David
• Other Authors: Biostatistique et Processus Spatiaux (BioSP), Institut National de la Recherche Agronomique (INRA), Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS), Institut méditerranéen d'océanologie (MIO), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Provence-Alpes-Côte-d’Azur Regional Council; ANR project IPSOS-SEAL (French National Research Agency)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2015
• Subjects: [SDE]Environmental Sciences; Antarctic; Southern Ocean; The Antarctic; Antarctic Ocean; Antarc*; Elephant Seals
• Online Access: https://hal.science/hal-01293238; https://doi.org/10.1016/j.pocean.2015.02.001

International audience 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.