Articles | Volume 20, issue 13
https://doi.org/10.5194/bg-20-2645-2023
https://doi.org/10.5194/bg-20-2645-2023
Research article
 | 
06 Jul 2023
Research article |  | 06 Jul 2023

Exploring the role of different data types and timescales in the quality of marine biogeochemical model calibration

Iris Kriest, Julia Getzlaff, Angela Landolfi, Volkmar Sauerland, Markus Schartau, and Andreas Oschlies

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Cited articles

Arhonditsis, G. B. and Brett, M. T.: Evaluation of the current state of mechanistic aquatic biogeochemical modeling, Mar. Ecol.-Prog. Ser., 271, 13–26, https://doi.org/10.3354/meps271013, 2004. a, b, c
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Aumont, O., Maury, O., Lefort, S., and Bopp, L.: Evaluating the Potential Impacts of the Diurnal Vertical Migration by Marine Organisms on Marine Biogeochemistry, Global Biogeochem. Cy., 32, 1622–1643, https://doi.org/10.1029/2018GB005886, 2018. a
Bianchi, D., Carozza, D. A., Galbraith, E. D., Guiet, J., and DeVries, T.: Estimating global biomass and biogeochemical cycling of marine fish with and without fishing, Sci. Adv., 7, eabd7554, https://doi.org/10.1126/sciadv.abd7554, 2021. a
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Short summary
Global biogeochemical ocean models are often subjectively assessed and tuned against observations. We applied different strategies to calibrate a global model against observations. Although the calibrated models show similar tracer distributions at the surface, they differ in global biogeochemical fluxes, especially in global particle flux. Simulated global volume of oxygen minimum zones varies strongly with calibration strategy and over time, rendering its temporal extrapolation difficult.
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