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| Titel |
Towards an effective calibration theory for a broadly applied land surface model (VIC) |
| VerfasserIn |
Lieke Melsen, Adriaan Teuling, Paul Torfs, Massimiliano Zappa |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250087839
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| Publikation (Nr.) |
 EGU/EGU2014-1897.pdf |
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| Zusammenfassung |
| The Variable Infiltration Capacity (VIC, Liang et al., 1994) model has been used for a broad
range of applications, in hydrology as well as in the fields of climate and global change.
Despite the attention for the model and its output, calibration is often not performed. To
improve the calibration procedures for VIC applied at grid resolutions varying from
meso-scale catchments to the 1 km ‘hyper’resolution now used in several global modeling
studies, the parameters of the model are studied in more detail. An earlier sensitivity
analysis study on a selection of parameters of the VIC model by Demaria et al (2007)
showed that the model is not or hardly sensitive to many of its parameters. With
improved sensitivity analysis methods and computational power, this study focuses on a
broader spectrum of parameters and with state of the art methods: both the DELSA
sensitivity analysis method (Rakovec et al., 2013) and the ABC-method (Vrugt et al.,
2013) will be employed parallel to a single cell VIC model of the Rietholzbach in
Switzerland (representative of the 1 km hyperresolution), and a single and multiple-cell
VIC model of the meso-scale Thur basin in Switzerland. In the latter case, also
routing plays an important role. With critically screening the parameters of the
model, it is possible to define a frame work for calibration of the model at multiple
scales.
References
Demaria, E., B. Nijssen, and T. Wagener (2007), Monte Carlo sensitivity analysis of land
surface parameters using the Variable Infiltration Capacity model, J. Geophys. Res., 112,
D11,113.
Liang, X., D. Lettenmaier, E. Wood, and S. Burges (1994), A simple hydrologically based
model of land surface water and energy fluxes for general circulation models, J. Geophys.
Res., 99 (D7),14,415-14,458.
Rakovec, O., M. Hill, M. Clark, A. Weerts, A. Teuling, and R. Uijlenhoet (2013), A new
computationally frugal method for sensitivity analysis of environmental models, Water
Resour. Res., in press
Vrugt, J.A. and M. Sadegh (2013), Towards diagnostic model calibration and evaluation:
Approximate Bayesian computation, Water. Resour. Res. 49, 4335-4345. |
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