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Parameter interactions and sensitivity analysis for modelling carbon heat and water fluxes in a natural peatland, using CoupModel v5
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Land and Water Resources Engineering. Karlsruhe Institute for Technology, Germany.ORCID iD: 0000-0003-1306-9333
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Land and Water Resources Engineering.
2016 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 9, no 12, p. 4313-4338Article in journal (Refereed) Published
Abstract [en]

In contrast to previous peatland carbon dioxide (CO2) model sensitivity analyses, which usually focussed on only one or a few processes, this study investigates interactions between various biotic and abiotic processes and their parameters by comparing CoupModel v5 results with multiple observation variables. Many interactions were found not only within but also between various process categories simulating plant growth, decomposition, radiation interception, soil temperature, aerodynamic resistance, transpiration, soil hydrology and snow. Each measurement variable was sensitive to up to 10 (out of 54) parameters, from up to 7 different process categories. The constrained parameter ranges varied, depending on the variable and performance index chosen as criteria, and on other calibrated parameters (equifinalities). Therefore, transferring parameter ranges between models needs to be done with caution, especially if such ranges were achieved by only considering a few processes. The identified interactions and constrained parameters will be of great interest to use for comparisons with model results and data from similar ecosystems. All of the available measurement variables (net ecosystem exchange, leaf area index, sensible and latent heat fluxes, net radiation, soil temperatures, water table depth and snow depth) improved the model constraint. If hydraulic properties or water content were measured, further parameters could be constrained, resolving several equifinalities and reducing model uncertainty. The presented results highlight the importance of considering biotic and abiotic processes together and can help modellers and experimentalists to design and calibrate models as well as to direct experimental set-ups in peatland ecosystems towards modelling needs.

Place, publisher, year, edition, pages
Copernicus GmbH , 2016. Vol. 9, no 12, p. 4313-4338
National Category
Geosciences, Multidisciplinary
Identifiers
URN: urn:nbn:se:kth:diva-199487DOI: 10.5194/gmd-9-4313-2016ISI: 000389212200001Scopus ID: 2-s2.0-85002061866OAI: oai:DiVA.org:kth-199487DiVA, id: diva2:1067000
Note

QC 20170119

Available from: 2017-01-19 Created: 2017-01-09 Last updated: 2017-11-29Bibliographically approved

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Metzger, Christine

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