期刊
ICES JOURNAL OF MARINE SCIENCE
卷 68, 期 4, 页码 719-728出版社
OXFORD UNIV PRESS
DOI: 10.1093/icesjms/fsq176
关键词
mixed-layer modulation; ocean colour; phytoplankton; sequential data assimilation; size spectrum; size-structured model; size succession
资金
- Canadian Space Agency
- Natural Sciences and Engineering Research Council of Canada
- Dalhousie University
A dynamic size-structured model is developed for phytoplankton and nutrients in the oceanic mixed layer and applied to extract phytoplankton biomass at discrete size fractions from remotely sensed, ocean-colour data. General relationships between cell size and biophysical processes (such as sinking, grazing, and primary production) of phytoplankton were included in the model through a bottom-up approach. Time-dependent, mixed-layer depth was used as a forcing variable, and a sequential data-assimilation scheme was implemented to derive model trajectories. From a given time-series, the method produces estimates of size-structured biomass at every observation, so estimates seasonal succession of individual phytoplankton size, derived here from remote sensing for the first time. From these estimates, normalized phytoplankton biomass size spectra over a period of 9 years were calculated for one location in the North Atlantic. Further analysis demonstrated that strong relationships exist between the seasonal trends of the estimated size spectra and the mixed-layer depth, nutrient biomass, and total chlorophyll. The results contain useful information on the time-dependent biomass flux in the pelagic ecosystem.
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