Influence of GEOTRACES data distribution and misfit function choice on objective parameter retrieval in a marine zinc cycle model

Eisenring, Claudia; Oliver, Sophy E.; Khatiwala, Samar; de Souza, Gregory F.

doi:https://doi.org/10.5194/bg-19-5079-2022

Articles | Volume 19, issue 21

https://doi.org/10.5194/bg-19-5079-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-19-5079-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 21

Research article

|

07 Nov 2022

Research article |

| 07 Nov 2022

Influence of GEOTRACES data distribution and misfit function choice on objective parameter retrieval in a marine zinc cycle model

Claudia Eisenring, Sophy E. Oliver, Samar Khatiwala, and Gregory F. de Souza

Supplement

https://doi.org/10.5194/bg-19-5079-2022-supplement

Model code and software

Code and data availability of the article "Influence of GEOTRACES data distribution and misfit function choice on objective parameter retrieval in a marine zinc cycle model" C. Eisenring, S. E. Oliver, S. Khatiwala, and G. F. de Souza https://doi.org/10.3929/ethz-b-000543389

Transport Matrix Method software for ocean biogeochemical simulations (2.0) S. Khatiwala https://doi.org/10.5281/zenodo.1246300

OPTCLIMSO Optimisation Framework S. Oliver and S. Tett https://doi.org/10.5281/zenodo.5517610

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Short summary

Given the sparsity of observational constraints on micronutrients such as zinc (Zn), we assess the sensitivities of a framework for objective parameter optimisation in an oceanic Zn cycling model. Our ensemble of optimisations towards synthetic data with varying kinds of uncertainty shows that deficiencies related to model complexity and the choice of the misfit function generally have a greater impact on the retrieval of model Zn uptake behaviour than does the limitation of data coverage.