Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-3027-2018
https://doi.org/10.5194/gmd-11-3027-2018
Development and technical paper
 | 
27 Jul 2018
Development and technical paper |  | 27 Jul 2018

Parameter calibration in global soil carbon models using surrogate-based optimization

Haoyu Xu, Tao Zhang, Yiqi Luo, Xin Huang, and Wei Xue

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Cited articles

Aleman, D. M., Romeijn, H. E., and Dempsey, J. F.: A response surface approach to beam orientation optimization in intensity-modulated radiation therapy treatment planning, INFORMS J. Comput., 21, 62–76, 2009. 
Allison, S. D., Wallenstein, M. D., and Bradford, M. A.: Soil-carbon response to warming dependent on microbial physiology, Nat. Geosci., 3, 336–340, 2010. 
Behzad, M., Asghari, K., Eazi, M., and Palhang, M.: Generalization performance of support vector machines and neural networks in runoff modeling, Expert Syst. Appl., 36, 7624–7629, 2009. 
Booker, A. J., Dennis Jr., J. E., Frank, P. D., Serafini, D. B., Torczon, V., and Trosset, M. W.: A rigorous framework for optimization of expensive functions by surrogates, Struct. optimization, 17, 1–13, 1999. 
Breiman, L.: Statistical modeling: The two cultures (with comments and a rejoinder by the author), Stat. Sci., 16, 199–231, 2001. 
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This study proposes a new parameter calibration method based on surrogate optimization techniques to improve the prediction accuracy of soil organic carbon. Experiments on three popular global soil carbon cycle models show that the surrogate-based optimization method is effective and efficient in terms of both accuracy and cost. This research would help develop and improve the parameterization schemes of Earth climate systems.
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