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Estimation of primary production in the Arctic Ocean using ocean colour remote sensing and coupled physical-biological models: strengths, limitations and how they compare

Abstract

Over the last decade, several studies have reported a significant increase in marine primary production of the Arctic Ocean due mainly to a decrease in the extent of the icepack. Given the lack of in situ measurements, these studies were either based on prognostic models that use time series of remote sensing measurements of clouds, ice concentration and, most importantly, phytoplankton biomass at ocean surface (ocean colour remote sensing, OCRS), and coupled physical–biological ice–ocean (CPBO) dynamic models. In this paper, we review the strengths and limitations of these two approaches when applied in the Arctic Ocean. More specifically, we examine how they compare in terms of phytoplankton growth modelling and parameterisation, including relative to the current literature on measured Arctic phytoplankton growth parameters.

Category

Academic article

Client

  • Sigma2 / NN2967K

Language

English

Author(s)

  • Marcel Babin
  • Simon Belanger
  • Ingrid Ellingsen
  • Alexandre Forest
  • T Lacour
  • Mathieu Ardyna
  • Dag Slagstad

Affiliation

  • Laval University
  • University of Quebec at Rimouski
  • SINTEF Ocean / Fisheries and New Biomarine Industry

Year

2015

Published in

Progress in Oceanography

ISSN

0079-6611

Volume

139

Page(s)

197 - 220

View this publication at Cristin