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

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

doi:https://doi.org/10.5194/gmd-16-6875-2023

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

Supplement

https://doi.org/10.5194/gmd-16-6875-2023-supplement

Model code and software

Model code and output files for "An along-track biogeochemical Argo modelling framework, a case study of model improvements for the Nordic Seas V. Ç. Yumruktepe, E. A. Mousing, J. Tjiputra, and A. Samuelsen https://doi.org/10.5281/zenodo.7773509

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.