期刊
PROGRESS IN OCEANOGRAPHY
卷 139, 期 -, 页码 197-220出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.pocean.2015.08.008
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资金
- Canada Excellence Research Chair on Remote sensing of Canada's new Arctic frontier
- ArcticNet Canada Network of Centre of Excellence
- NSERC Discovery Grant
- European Union through the project Arctic Tipping Points (ATP) as part of the 7th Framework Program [226248]
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. (C) 2015 Elsevier Ltd. All rights reserved.
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