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

• Published in: Progress in oceanography Vol. 139; pp. 197 - 220
• Main Authors: Babin, M., Bélanger, S., Ellingsen, I., Forest, A., Le Fouest, V., Lacour, T., Ardyna, M., Slagstad, D.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2015; Elsevier
• Subjects: Arctic Ocean; Colour; Environmental Sciences; Joining; Marine; Ocean models; Oceans; Phytoplankton; Remote sensing; Strength; PN, Arctic Ocean
• ISSN: 0079-6611; 1873-4472
• DOI: 10.1016/j.pocean.2015.08.008

•Remote sensing and coupled physical–biological NPP models in Arctic Ocean.•Need to improve the parameterization of phytoplankton growth models in both.•One should take into account their fundamental differences in comparisons. 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.