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

Related authors

An automatic and effective parameter optimization method for model tuning
T. Zhang, L. Li, Y. Lin, W. Xue, F. Xie, H. Xu, and X. Huang
Geosci. Model Dev., 8, 3579–3591, https://doi.org/10.5194/gmd-8-3579-2015,https://doi.org/10.5194/gmd-8-3579-2015, 2015
Short summary

Related subject area

Biogeosciences
FESOM2.1-REcoM3-MEDUSA2: an ocean–sea ice–biogeochemistry model coupled to a sediment model
Ying Ye, Guy Munhoven, Peter Köhler, Martin Butzin, Judith Hauck, Özgür Gürses, and Christoph Völker
Geosci. Model Dev., 18, 977–1000, https://doi.org/10.5194/gmd-18-977-2025,https://doi.org/10.5194/gmd-18-977-2025, 2025
Short summary
Satellite-based modeling of wetland methane emissions on a global scale (SatWetCH4 1.0)
Juliette Bernard, Elodie Salmon, Marielle Saunois, Shushi Peng, Penélope Serrano-Ortiz, Antoine Berchet, Palingamoorthy Gnanamoorthy, Joachim Jansen, and Philippe Ciais
Geosci. Model Dev., 18, 863–883, https://doi.org/10.5194/gmd-18-863-2025,https://doi.org/10.5194/gmd-18-863-2025, 2025
Short summary
Systematic underestimation of type-specific ecosystem process variability in the Community Land Model v5 over Europe
Christian Poppe Terán, Bibi S. Naz, Harry Vereecken, Roland Baatz, Rosie A. Fisher, and Harrie-Jan Hendricks Franssen
Geosci. Model Dev., 18, 287–317, https://doi.org/10.5194/gmd-18-287-2025,https://doi.org/10.5194/gmd-18-287-2025, 2025
Short summary
Lambda-PFLOTRAN 1.0: a workflow for incorporating organic matter chemistry informed by ultra high resolution mass spectrometry into biogeochemical modeling
Katherine A. Muller, Peishi Jiang, Glenn Hammond, Tasneem Ahmadullah, Hyun-Seob Song, Ravi Kukkadapu, Nicholas Ward, Madison Bowe, Rosalie K. Chu, Qian Zhao, Vanessa A. Garayburu-Caruso, Alan Roebuck, and Xingyuan Chen
Geosci. Model Dev., 17, 8955–8968, https://doi.org/10.5194/gmd-17-8955-2024,https://doi.org/10.5194/gmd-17-8955-2024, 2024
Short summary
An improved model for air–sea exchange of elemental mercury in MITgcm-ECCOv4-Hg: the role of surfactants and waves
Ling Li, Peipei Wu, Peng Zhang, Shaojian Huang, and Yanxu Zhang
Geosci. Model Dev., 17, 8683–8695, https://doi.org/10.5194/gmd-17-8683-2024,https://doi.org/10.5194/gmd-17-8683-2024, 2024
Short summary

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. 
Download
Short summary
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.
Share