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Ocean Science An interactive open-access journal of the European Geosciences Union
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OS | Articles | Volume 14, issue 3
Ocean Sci., 14, 371–386, 2018
https://doi.org/10.5194/os-14-371-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ocean Sci., 14, 371–386, 2018
https://doi.org/10.5194/os-14-371-2018
© 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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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yasuhiro Hoshiba on behalf of the Authors (01 Dec 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Dec 2017) by Eric J.M. Delhez
RR by Anonymous Referee #2 (22 Jan 2018)
RR by Anonymous Referee #1 (26 Jan 2018)
ED: Reconsider after major revisions (06 Feb 2018) by Eric J.M. Delhez
AR by Yasuhiro Hoshiba on behalf of the Authors (20 Mar 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Mar 2018) by Eric J.M. Delhez
RR by Anonymous Referee #1 (16 Apr 2018)
ED: Publish subject to minor revisions (review by editor) (24 Apr 2018) by Eric J.M. Delhez
AR by Yasuhiro Hoshiba on behalf of the Authors (05 May 2018)  Author's response    Manuscript
ED: Publish as is (07 May 2018) by Eric J.M. Delhez
Publications Copernicus
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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...
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