Ocean Science
Ocean Science
OS
Articles | Volume 14, issue 3
Articles | Volume 14, issue 3
https://doi.org/10.5194/os-14-371-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-14-371-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 14, issue 3
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, Takafumi Hirata, Masahito Shigemitsu, Hideyuki Nakano, Taketo Hashioka, Yoshio Masuda, and Yasuhiro Yamanaka

Viewed

Total article views: 2,974 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,908 919 147 2,974 84 103
  • HTML: 1,908
  • PDF: 919
  • XML: 147
  • Total: 2,974
  • BibTeX: 84
  • EndNote: 103
Views and downloads (calculated since 29 May 2017)
Cumulative views and downloads (calculated since 29 May 2017)

Viewed (geographical distribution)

Total article views: 2,974 (including HTML, PDF, and XML) Thereof 2,747 with geography defined and 227 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
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.
Read more