Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3537-2022
https://doi.org/10.5194/gmd-15-3537-2022
Methods for assessment of models
 | 
05 May 2022
Methods for assessment of models |  | 05 May 2022

A derivative-free optimisation method for global ocean biogeochemical models

Sophy Oliver, Coralia Cartis, Iris Kriest, Simon F. B Tett, and Samar Khatiwala

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Cited articles

Cartis, C., Fiala, J., Marteau, B., and Roberts, L.: Improving the flexibility and robustness of model-based derivative-free optimization solvers, ACM T. Math. Software, 45, 1–35, https://doi.org/10.1145/3338517, 2019. a, b, c, d, e, f
Cartis, C., Roberts, L., and Sheridan-Methven, O.: Escaping local minima with local derivative-free methods: a numerical investigation, Optimization, 0, 1–31, https://doi.org/10.1080/02331934.2021.1883015, 2021. a, b
Chen, B. and Smith, S. L.: CITRATE 1.0: Phytoplankton continuous trait-distribution model with one-dimensional physical transport applied to the North Pacific, Geosci. Model Dev., 11, 467–495, https://doi.org/10.5194/gmd-11-467-2018, 2018. a
Conn, A. R., Scheinberg, K., and Vicente, L. N.: Introduction to Derivative-Free Optimization, Society for Industrial and Applied Mathematics (SIAM), https://doi.org/10.1137/1.9780898718768, 2009. a
DeVries, T.: The oceanic anthropogenic CO2 sink: Storage, air‐sea fluxes, and transports over the industrial era, Global Biogeochem. Cycles, 28, 631–647, https://doi.org/10.1002/2013GB004739, 2014. a
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Short summary
Global ocean biogeochemical models are used within Earth system models which are used to predict future climate change. However, these are very computationally expensive to run and therefore are rarely routinely improved or calibrated to real oceanic observations. Here we apply a new, fast optimisation algorithm to one such model and show that it can calibrate the model much faster than previously managed, therefore encouraging further ocean biogeochemical model improvements.
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