Articles | Volume 19, issue 21
https://doi.org/10.5194/bg-19-5079-2022
https://doi.org/10.5194/bg-19-5079-2022
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

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Cited articles

Baars, O. and Croot, P. L.: The speciation of dissolved zinc in the Atlantic sector of the Southern Ocean, Deep-Sea Res. Pt. II, 58, 2720–2732, https://doi.org/10.1016/j.dsr2.2011.02.003, 2011. 
Bevington, P. R. and Robinson, D. K.: Data reduction and error analysis for the physical sciences, 3rd Edn., Boston, McGraw-Hill, ISBN 0-07-247227-8, 2003. 
Bruland, K. W.: Oceanographic distributions of cadmium, zinc, nickel, and copper in the North Pacific, Earth Planet. Sc. Lett., 47, 176–198, https://doi.org/10.1016/0012-821X(80)90035-7, 1980. 
Bruland, K. W.: Complexation of zinc by natural organic ligands in the central North Pacific, Limnol. Oceanogr., 34, 269–285, https://doi.org/10.4319/lo.1989.34.2.0269, 1989. 
Moffett, J.: standards and reference materials for intercalibration, https://www.geotraces.org/standards-and-reference-materials/ (last access: 27 October 2022), 2019. 
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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.
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