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| Titel |
Functional similarity in landscape scale SVAT modelling |
| VerfasserIn |
K. J. Beven  , S. W. Franks |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 3, no. 1 ; Nr. 3, no. 1, S.85-93 |
| Datensatznummer |
250000757
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| Publikation (Nr.) |
 copernicus.org/hess-3-85-1999.pdf |
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| Zusammenfassung |
| In this study, it is shown that the complexity of Soil
Vegetation Atmosphere Transfer (SVAT) models leads to an equifinality of functional
behaviour - many parameterizations from many areas of the parameter space lead to very
similar responses. Individual parameters derived by calibration (i.e. model inversion)
against limited measurements are, therefore, highly uncertain. Due to the non-linear
internal behaviour of SVAT models, aggregation of uncertainly known parameter fields to
parameterize landscape scale variability in surface fluxes will yield highly uncertain
predictions. A disaggregation approach suggested by Beven (1995) requires that the land
surface be represented by a linear sum of a number of representative parameterizations or
functional types. This study explores the nature of the parameter space in terms of a
simple definition of functional behaviour. Parameter interactions producing similar
predicted behaviours are investigated through application of Principal Component Analyses.
These reveal the lack of a dominant global interaction indicating the presence of highly
complex parameter interactions throughout the feasible parameter space. |
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