Ocean Science
Ocean Science
OS
Articles | Volume 17, issue 4
Articles | Volume 17, issue 4
https://doi.org/10.5194/os-17-1141-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-17-1141-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 4
Research article
 | 
26 Aug 2021
Research article |  | 26 Aug 2021

Can assimilation of satellite observations improve subsurface biological properties in a numerical model? A case study for the Gulf of Mexico

Bin Wang, Katja Fennel, and Liuqian Yu

Viewed

Total article views: 2,932 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,985 886 61 2,932 175 48 48
  • HTML: 1,985
  • PDF: 886
  • XML: 61
  • Total: 2,932
  • Supplement: 175
  • BibTeX: 48
  • EndNote: 48
Views and downloads (calculated since 03 May 2021)
Cumulative views and downloads (calculated since 03 May 2021)

Viewed (geographical distribution)

Total article views: 2,932 (including HTML, PDF, and XML) Thereof 2,832 with geography defined and 100 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
We demonstrate that even sparse BGC-Argo profiles can substantially improve biogeochemical prediction via a priori model tuning. By assimilating satellite surface chlorophyll and physical observations, subsurface distributions of physical properties and nutrients were improved immediately. The improvement of subsurface chlorophyll was modest initially but was greatly enhanced after adjusting the parameterization for light attenuation through further a priori tuning.
Read more
Special issue
Biogeochemistry in the BGC-Argo era: from process studies...