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OS | Articles | Volume 14, issue 3
Ocean Sci., 14, 371–386, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ocean Sci., 14, 371–386, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 01 Jun 2018

Research article | 01 Jun 2018

Biological data assimilation for parameter estimation of a phytoplankton functional type model for the western North Pacific

Yasuhiro Hoshiba et al.

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Cited articles

Aumont, O. and Bopp, L.: Globalizing results from ocean in situ iron fertilization studies, Global Biogeochem. Cy., 20, GB2017,, 2006. 
Blauw, A. N., Los, H. F. J., Bokhorst, M., and Erftemeijer, P. L. A.: GEM: a generic ecological model for estuaries and coastal waters, Hydrobiologia, 618, 175–198, 2009. 
Buitenhuis, E. T., Rivkin, R. B., Sailley, S., and Le Quéré, C.: Biogeochemical fluxes through microzooplankton, Global Biogeochem. Cy., 24, GB4015,, 2010. 
Chai, F., Dugdale, R., Peng, T., Wilkerson, F., and Barber, R.: One-dimensional ecosystem model of the equatorial Pacific upwelling system, Part I: model development and silicon and nitrogen cycle, Deep-Sea Res. Pt. II, 49, 2713–2745, 2002. 
Chelton, D. B., Schlax, M. G., and Samelson, R. M.: Global observations of nonlinear mesoscale eddies, Prog. Oceanogr., 91, 167–216, 2011. 
Publications Copernicus
Short summary
We developed a three-dimensional lower-trophic-level marine ecosystem model (NSI-MEM) and employed biological data assimilation using a micro-genetic algorithm to estimate physiological parameters for two phytoplankton functional types in the western North Pacific. The NSI-MEM optimized by the data assimilation improved the timing of a modelled plankton bloom in the subarctic and subtropical regions compared to the model without data assimilation.
We developed a three-dimensional lower-trophic-level marine ecosystem model (NSI-MEM) and...