Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/bg-2018-98
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
12 Mar 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Biogeosciences (BG).
Technical Note: An efficient method for accelerating the spin-up process for process-based biogeochemistry models
Yang Qu1, Shamil Maksyutov2, and Qianlai Zhuang1,3 1Department of Earth, Atmospheric, and Planetary Sciences, Department of Agronomy, Purdue University, West Lafayette, IN 47907, USA
2National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan
3Department of Agronomy, Purdue University, USA
Abstract. To better understand the role of terrestrial ecosystems in the global carbon cycle and their feedbacks to the global climate system, process-based biogeochemistry models need to be improved with respect to model parameterization and model structure. To achieve these improvements, the spin-up time for those differential equation-based models needs to be shortened. Here, an algorithm for a fast spin-up was developed and implemented in a biogeochemistry model, the Terrestrial Ecosystem Model (TEM). With the new spin-up algorithm, we showed that the model reached a steady state in less than 10 years of computing time, while the original method requires more than 200 years on average of model run. For the test sites with five different plant function types, the new method saves over 90 % of the original spin-up time in site-level simulations. In North America simulations, average spin-up time saving for all grid cells is 85 % for either daily or monthly version of TEM. The developed spin-up method shall greatly facilitate our future quantification of carbon dynamics at fine spatial and temporal scales.
Citation: Qu, Y., Maksyutov, S., and Zhuang, Q.: Technical Note: An efficient method for accelerating the spin-up process for process-based biogeochemistry models, Biogeosciences Discuss., https://doi.org/10.5194/bg-2018-98, in review, 2018.
Yang Qu et al.
Yang Qu et al.
Yang Qu et al.

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