Articles | Volume 15, issue 13
https://doi.org/10.5194/bg-15-3967-2018
https://doi.org/10.5194/bg-15-3967-2018
Technical note
 | 
03 Jul 2018
Technical note |  | 03 Jul 2018

Technical Note: An efficient method for accelerating the spin-up process for process-based biogeochemistry models

Yang Qu, Shamil Maksyutov, and Qianlai Zhuang

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Cited articles

Baldocchi, D. D., Xu, L., and Kiang, N.: How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak–grass savanna and an annual grassland, Agr. Forest Meteorol., 123, 13–39, 2004. 
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Fang, Y., Liu, C., and Leung, L. R.: Accelerating the spin-up of the coupled carbon and nitrogen cycle model in CLM4, Geosci. Model Dev., 8, 781–789, https://doi.org/10.5194/gmd-8-781-2015, 2015. 
Gilmanov, T. G., Demment, M. W., Wylie, B. K., Laca, E. A., Akshalov, K., Baldocchi, D. D., and Emmerich, W. E.: Quantification of the CO2 exchange in grassland ecosystems of the world using tower measurements, modeling and remote sensing, in: XX International Grassland Congress: offered papers, 26, p. 587, 2005 
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Short summary
We developed an algorithm for a fast spin-up by finding the exact solution of a linearized system representing the cyclo-stationary state of a model and implemented it in a biogeochemistry model, the Terrestrial Ecosystem Model. For the test sites with five different plant functional types, the new method saves over 90 % of the original spin-up time in site-level simulations. The developed spin-up method will be used for future quantification of carbon dynamics at fine spatiotemporal scales.
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