Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 22
Articles | Volume 16, issue 22
https://doi.org/10.5194/gmd-16-6875-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-6875-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 22
Methods for assessment of models
 | 
28 Nov 2023
Methods for assessment of models |  | 28 Nov 2023

An along-track Biogeochemical Argo modelling framework: a case study of model improvements for the Nordic seas

Veli Çağlar Yumruktepe, Erik Askov Mousing, Jerry Tjiputra, and Annette Samuelsen

Viewed

Total article views: 1,801 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,264 458 79 1,801 76 86 109
  • HTML: 1,264
  • PDF: 458
  • XML: 79
  • Total: 1,801
  • Supplement: 76
  • BibTeX: 86
  • EndNote: 109
Views and downloads (calculated since 04 Apr 2023)
Cumulative views and downloads (calculated since 04 Apr 2023)

Viewed (geographical distribution)

Total article views: 1,801 (including HTML, PDF, and XML) Thereof 1,763 with geography defined and 38 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Oct 2025
Download
Short summary
We present an along BGC-Argo track 1D modelling framework. The model physics is constrained by the BGC-Argo temperature and salinity profiles to reduce the uncertainties related to mixed layer dynamics, allowing the evaluation of the biogeochemical formulation and parameterization. We objectively analyse the model with BGC-Argo and satellite data and improve the model biogeochemical dynamics. We present the framework, example cases and routines for model improvement and implementations.
Read more
Share