An explicit and computationally efficient method to initialise first-order-based soil organic matter models: the Geometric Series Solution (GSS)
Wong, H.; Hillier, J.; Clark, D.B. ORCID: https://orcid.org/0000-0003-1348-7922; 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, 267. 48-53. https://doi.org/10.1016/j.ecolmodel.2013.07.014
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Abstract/Summary
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.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | https://doi.org/10.1016/j.ecolmodel.2013.07.014 |
Programmes: | CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 2 - Biogeochemistry and Climate System Processes > BGC - 2.2 - Measure and model surface atmosphere exchanges of energy ... |
UKCEH and CEH Sections/Science Areas: | Reynard |
ISSN: | 0304-3800 |
Additional Keywords: | algebraic method, model initialisation, soil organic matter (SOM), spin-up, the ECOSSE model, the JULES model |
NORA Subject Terms: | Agriculture and Soil Science |
Date made live: | 01 Nov 2013 14:39 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/503356 |
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