Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 16
Articles | Volume 17, issue 16
https://doi.org/10.5194/gmd-17-6415-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-6415-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 16
Development and technical paper
 | 
30 Aug 2024
Development and technical paper |  | 30 Aug 2024

LIGHT-bgcArgo-1.0: using synthetic float capabilities in E3SMv2 to assess spatiotemporal variability in ocean physics and biogeochemistry

Cara Nissen, Nicole S. Lovenduski, Mathew Maltrud, Alison R. Gray, Yohei Takano, Kristen Falcinelli, Jade Sauvé, and Katherine Smith

Viewed

Total article views: 1,192 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
931 209 52 1,192 43 47
  • HTML: 931
  • PDF: 209
  • XML: 52
  • Total: 1,192
  • BibTeX: 43
  • EndNote: 47
Views and downloads (calculated since 04 Jan 2024)
Cumulative views and downloads (calculated since 04 Jan 2024)

Viewed (geographical distribution)

Total article views: 1,192 (including HTML, PDF, and XML) Thereof 1,155 with geography defined and 37 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
Autonomous profiling floats have provided unprecedented observational coverage of the global ocean, but uncertainties remain about whether their sampling frequency and density capture the true spatiotemporal variability of physical, biogeochemical, and biological properties. Here, we present the novel synthetic biogeochemical float capabilities of the Energy Exascale Earth System Model version 2 and demonstrate their utility as a test bed to address these uncertainties.
Read more