 |
| Titel |
Multi-objective conditioning of a simple SVAT model |
| VerfasserIn |
S. W. Franks, K. J. Beven  , J. H. C. Gash |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 3, no. 4 ; Nr. 3, no. 4, S.477-488 |
| Datensatznummer |
250001185
|
| Publikation (Nr.) |
 copernicus.org/hess-3-477-1999.pdf |
|
|
|
|
|
| Zusammenfassung |
| It has previously been argued that current
Soil Vegetation Atmosphere Transfer (SVAT) models are over-parameterised given
the calibration data typically available. Using the Generalised Likelihood
Uncertainty Estimation (GLUE) methodology, multiple feasible model parameter
sets are here conditioned on latent heat fluxes and then additionally on the
sensible and ground heat fluxes at a single site in Amazonia. The model
conditioning schemes were then evaluated with a further data set collected at
the same site according to their ability to reproduce the latent, sensible and
ground heat fluxes. The results indicate that conditioning the model on only the
latent heat flux component of the energy balance does not constrain
satisfactorily the predictions of the other components of the energy balance.
When conditioning on all heat flux objectives, significant additional constraint
of the feasible parameter space is achieved with a consequent reduction in the
predictive uncertainty. There are still, however, many parameter sets that
adequately reproduce the calibration/validation data, leading to significant
predictive uncertainty. Surface temperature measurements, whilst also subject to
uncertainty, may be employed usefully in a multi-objective calibration of SWAT
models. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|