University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A dynamical systems analysis of the data assimilation linked ecosystem carbon (DALEC) models

Chuter, AM, Aston, PJ, Skeldon, AC and Roulstone, I (2014) A dynamical systems analysis of the data assimilation linked ecosystem carbon (DALEC) models Chaos, 25 (3), 036401.

[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview
[img]
Preview
Text
Aston-text-final.pdf - ["content_typename_Accepted version (post-print)" not defined]
Available under License : See the attached licence file.

Download (3MB) | Preview

Abstract

Changes in our climate and environment make it ever more important to understand the processes involved in Earth systems, such as the carbon cycle. There are many models that attempt to describe and predict the behaviour of carbon stocks and stores but, despite their complexity, significant uncertainties remain. We consider the qualitative behaviour of one of the simplest carbon cycle models, the Data Assimilation Linked Ecosystem Carbon (DALEC) model, which is a simple vegetation model of processes involved in the carbon cycle of forests, and consider in detail the dynamical structure of the model. Our analysis shows that the dynamics of both evergreen and deciduous forests in DALEC are dependent on a few key parameters and it is possible to find a limit point where there is stable sustainable behaviour on one side but unsustainable conditions on the other side. The fact that typical parameter values reside close to this limit point highlights the difficulty of predicting even the correct trend without sufficient data and has implications for the use of data assimilation methods.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mathematics
Authors :
AuthorsEmailORCID
Chuter, AMUNSPECIFIEDUNSPECIFIED
Aston, PJUNSPECIFIEDUNSPECIFIED
Skeldon, ACUNSPECIFIEDUNSPECIFIED
Roulstone, IUNSPECIFIEDUNSPECIFIED
Date : 24 November 2014
Identification Number : 10.1063/1.4897912
Additional Information : Copyright 2014 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in Chaos and may be found at http://dx.doi.org/10.1063/1.4897912
Depositing User : Symplectic Elements
Date Deposited : 17 Feb 2015 11:11
Last Modified : 17 Feb 2015 11:11
URI: http://epubs.surrey.ac.uk/id/eprint/806896

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800