Journal cover Journal topic
Ocean Science An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/os-2017-39
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
29 May 2017
Review status
This discussion paper is a preprint. A revision of the manuscript for further review has not been submitted.
Biological data assimilation for parameter estimation of a phytoplankton functional type model for the western North Pacific
Yasuhiro Hoshiba1,2, Takafumi Hirata1, Masahito Shigemitsu3, Hideyuki Nakano4, Taketo Hashioka3, Yoshio Masuda1, and Yasuhiro Yamanaka1 1Faculty of Environmental Earth Science, Hokkaido University, Japan
2Atmosphere and Ocean Research Institute, The University of Tokyo, Japan
3Japan Agency for Marine-Earth Science and Technology
4Meteorological Research Institute, Japan Meteorological Agency
Abstract. Ecosystem models are used to understand ecosystem dynamics and ocean biogeochemical cycles and require optimum physiological parameters to best represent biological behaviours. These physiological parameters are often tuned up empirically, while ecosystem models have evolved to increase the number of physiological parameters. We developed a three-dimensional (3D) lower trophic level marine ecosystem model known as the Nitrogen, Silicon and Iron regulated Marine Ecosystem Model (NSI-MEM) and employed biological data assimilation using a micro-genetic algorithm to estimate 23 physiological parameters for two phytoplankton functional types in the western North Pacific. The approach used a one-dimensional emulator that referenced satellite data. The 3D NSI-MEM with biological parameters optimised by assimilation improved the timing of a modelled plankton bloom in the subarctic and subtropical regions compared to models without data assimilation. Furthermore, the model was able to simulate not only surface concentrations of phytoplankton but also subsurface maximum concentrations of phytoplankton. Our results show that surface data assimilation of biological parameters from two observatory stations benefits the representation of vertical plankton distribution in the western North Pacific.

Citation: Hoshiba, Y., Hirata, T., Shigemitsu, M., Nakano, H., Hashioka, T., Masuda, Y., and Yamanaka, Y.: Biological data assimilation for parameter estimation of a phytoplankton functional type model for the western North Pacific, Ocean Sci. Discuss., https://doi.org/10.5194/os-2017-39, in review, 2017.
Yasuhiro Hoshiba et al.
Yasuhiro Hoshiba et al.

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