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An explicit and computationally efficient method to initialise first-order-based soil organic matter models—The Geometric Series Solution (GSS)

Author

Listed:
  • Wong, H.
  • Hillier, J.
  • Clark, D.B.
  • Smith, J.
  • Smith, P.

Abstract

This paper derives an algebraic solution (the Geometric Series Solution; GSS) to replace iterative runs of soil organic matter (SOM) models for initialisation of SOM pools. The method requires steady-state/long-term-average series of plant input and soil climate driving data. It calculates the values of SOM pools as if SOM models are iterated for a large number of cycles. The method has a high computational efficiency because it is an explicit solution to the calculations used to initialise the model and so requires a single iteration of the SOM model. Under the premise that the iterative pool inputs can be derived analytically, the GSS equations are applicable for other first-order-based SOM models. To illustrate applicability the method is applied to the coupled JULES-ECOSSE model.

Suggested Citation

  • Wong, H. & Hillier, J. & Clark, D.B. & Smith, J. & Smith, P., 2013. "An explicit and computationally efficient method to initialise first-order-based soil organic matter models—The Geometric Series Solution (GSS)," Ecological Modelling, Elsevier, vol. 267(C), pages 48-53.
    • Handle: RePEc:eee:ecomod:v:267:y:2013:i:c:p:48-53
    DOI: 10.1016/j.ecolmodel.2013.07.014
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    References listed on IDEAS

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    1. Hashimoto, S. & Wattenbach, M. & Smith, P., 2011. "A new scheme for initializing process-based ecosystem models by scaling soil carbon pools," Ecological Modelling, Elsevier, vol. 222(19), pages 3598-3602.
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