Articles | Volume 10, issue 3
Methods for assessment of models
28 Mar 2017
Methods for assessment of models |  | 28 Mar 2017

Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models

Shoji Hashimoto, Kazuki Nanko, Boris Ťupek, and Aleksi Lehtonen

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Cited articles

Aertsen, W., Kint, V., De Vos, B., Deckers, J., Van Orshoven, J., and Muys, B.: Predicting forest site productivity in temperate lowland from forest floor, soil and litterfall characteristics using boosted regression trees, Plant Soil, 354, 157–172,, 2011.
Alexander, K. and Easterbrook, S. M.: The software architecture of climate models: a graphical comparison of CMIP5 and EMICAR5 configurations, Geosci. Model Dev., 8, 1221–1232,, 2015.
Anav, A., Friedlingstein, P., Kidston, M., Bopp, L., Ciais, P., Cox, P., Jones, C., Jung, M., Myneni, R. and Zhu, Z.: Evaluating the land and ocean components of the global carbon cycle in the CMIP5 earth system models, J. Climate, 26, 6801–6843,, 2013.
Arora, V. K., Boer, G. J., Friedlingstein, P., Eby, M., Jones, C. D., Christian, J. R., Bonan, G., Bopp, L., Brovkin, V., Cadule, P., Hajima, T., Ilyina, T., Lindsay, K., Tjiputra, J. F., and Wu, T.: Carbon-concentration and carbon-climate feedbacks in CMIP5 earth system models, J. Climate, 26, 5289–5314,, 2013.
Averill, C., Turner, B. L., and Finzi, A. C.: Mycorrhiza-mediated competition between plants and decomposers drives soil carbon storage, Nature, 505, 543–545,, 2014.
Short summary
Soil organic carbon (SOC) stock simulated by Earth system models (ESMs) and those of observational databases are not well correlated when the two are compared at fine grid scales. To identify the key factors that govern global SOC distribution, we applied a data-mining scheme to observational databases and outputs from ESMs. This study not only identifies key factors but it also presents a new approach that compares the observational databases with ESM outputs.