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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.; 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. 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
Digital Object Identifier (DOI): 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 ...
CEH Sections: 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: http://nora.nerc.ac.uk/id/eprint/503356

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