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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Environmental Science / Faculty of Environmental Earth Science >
Peer-reviewed Journal Articles, etc >
Biological data assimilation for parameter estimation of a phytoplankton functional type model for the western North Pacific
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| Title: | Biological data assimilation for parameter estimation of a phytoplankton functional type model for the western North Pacific |
| Authors: | Hoshiba, Yasuhiro Browse this author | | Hirata, Takafumi Browse this author | | Shigemitsu, Masahito Browse this author | | Nakano, Hideyuki Browse this author | | Hashioka, Taketo Browse this author | | Masuda, Yoshio Browse this author | | Yamanaka, Yasuhiro Browse this author →KAKEN DB |
| Issue Date: | 1-Jun-2018 |
| Publisher: | Copernicus Publications |
| Journal Title: | Ocean science |
| Volume: | 14 |
| Issue: | 3 |
| Start Page: | 371 |
| End Page: | 386 |
| Publisher DOI: | 10.5194/os-14-371-2018 |
| 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 (3-D) 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 estimation of the parameters was based on a one-dimensional simulation that referenced satellite data for constraining the physiological parameters. The 3-D 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. Furthermore, the model was able to improve not only surface concentrations of phytoplankton but also their subsurface maximum concentrations. Our results showed that surface data assimilation of physiological parameters from two contrasting observatory stations benefits the representation of vertical plankton distribution in the western North Pacific. |
| Rights: | https://creativecommons.org/licenses/by/4.0/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/70953 |
| Appears in Collections: | 環境科学院・地球環境科学研究院 (Graduate School of Environmental Science / Faculty of Environmental Earth Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 山中 康裕
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