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Titel |
Multivariate calibration of a water and energy balance model in the spectral domain |
VerfasserIn |
Valentijn Pauwels, Gabrielle De Lannoy |
Konferenz |
EGU General Assembly 2011
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 13 (2011) |
Datensatznummer |
250046957
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Zusammenfassung |
The objective of this paper is to explore the possibility of using multiple variables in the
calibration of hydrologic models in the spectral domain. A simple water and energy
balance model was used, combined with observations of the energy balance and
the soil moisture profile. The correlation functions of the model outputs and the
observations for the different variables have been calculated after removal of the diurnal
cycle of the energy balance variables. These were transformed to the frequency
domain to obtain spectral density functions, which were combined in the calibration
algorithm. It has been found that it is best to use the square root of the spectral
densities in the parameter estimation. Under these conditions, spectral calibration
performs almost equally well as time domain calibration using least-squares differences
between observed and simulated time series. Incorporation of the spectral coefficients
of the cross-correlation functions did not improve the results of the calibration.
Calibration on the correlation functions in the time domain led to a worse model
performance. When the meteorological forcing and model calibration data are not
overlapping in time, spectral calibration has been shown to lead to an acceptable model
performance. Overall, the results in this paper suggest that, in case of data scarcity,
multivariate spectral calibration can be an attractive tool to estimate model parameters. |
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