Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1002/jgrg.20072
Title (Primary) Use of eigendecomposition in a parameter sensitivity analysis of the Community Land Model
Author Göhler, M.; Mai, J.; Cuntz, M.
Journal Journal of Geophysical Research-Biogeosciences
Year 2013
Department CHS
Volume 118
Issue 2
Page From 904
Page To 921
Language englisch
Keywords Global Sensitivity Analysis; Community Land Model; Eigendecomposition
UFZ wide themes RU5;
Abstract This study explores the use of eigendecomposition in a sensitivity analysis of the Community Land Model CLM, revision 3.5, with respect to its parametrisation. Latent heat, sensible heat, and photosynthesis are used as target variables. The eigendecomposition of a sensitivity matrix, containing numerically-derived sensitivity measures, can be used to study parameter significance. Existing parameter ranking and selection methods are examined. Furthermore, a new parameter significance ranking index isproposed which is working in concert with a new proposed selection criterion. This methodology explicitly takes parameter covariations into account. The results are consistent and similar to the most elaborate method tested in this study, but the new method has fewer assumptions. The number of significant parameters depends on the degree of variation that a single parameter is allowed to generate in the cost function. The method declares two thirds out of 66 parameters to be significant model parameters for an allowed change of 1%, and only 10 parameters for an allowed change of 10% of the cost function. The sensible heat flux is shown to be the least sensitive model output in comparison with latent heat or photosynthesis. Parameters that determine maximum carboxylation and the slope of stomatal conductance are very sensitive for photosynthesis whereas soil water parameters are significant for latent heat and C4 photosynthesis. It is concluded that the proposed procedure is parsimonious, can analyse sensitivities of more than one model output simultaneously, and helps to identify significant parameters while taking parameter interactions into account.
Persistent UFZ Identifier
Göhler, M., Mai, J., Cuntz, M. (2013):
Use of eigendecomposition in a parameter sensitivity analysis of the Community Land Model
J. Geophys. Res.-Biogeosci. 118 (2), 904 - 921