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<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences</journal_title>
		<journal_url>www.hydrol-earth-syst-sci.net</journal_url>
		<issn>1027-5606</issn>
		<eissn>1607-7938</eissn>
		<volume_number>13</volume_number>
		<issue_number>10</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/hess-13-1921-2009</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/13/1921/2009/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/13/1921/2009/hess-13-1921-2009.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/13/1921/2009/hess-13-1921-2009.pdf</fulltext_pdf>
	<start_page>1921</start_page>
	<end_page>1936</end_page>
	<publication_date>2009-10-19</publication_date>
	<article_title content_type="html">Hydrological model performance and parameter estimation in the wavelet-domain</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>B. Schaefli</name>
			<email>b.schaefli@tudelft.nl</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>E. Zehe</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Faculty of Civil Engineering and Geosciences, Water Resources Section, Delft University of Technology, The Netherlands</affiliation>
		<affiliation numeration="2" content_type="html">Institute of Water and Environment, Dept. for Hydrology and River Basins Management, Technische Uni. München, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">This paper proposes a method for rainfall-runoff model calibration
and performance analysis in the wavelet-domain by fitting the
estimated wavelet-power spectrum (a representation of the
time-varying frequency content of a time series) of a simulated
discharge series to the one of the corresponding observed time
series. As discussed in this paper, calibrating hydrological models
so as to reproduce the time-varying frequency content of the
observed signal can lead to different results than parameter
estimation in the time-domain. Therefore, wavelet-domain parameter
estimation has the potential to give new insights into model
performance and to reveal model structural deficiencies. We apply
the proposed method to synthetic case studies and a real-world
discharge modeling case study and discuss how model diagnosis can
benefit from an analysis in the wavelet-domain. The results show
that for the real-world case study of precipitation – runoff
modeling for a high alpine catchment, the calibrated discharge
simulation captures the dynamics of the observed time series better
than the results obtained through calibration in the time-domain. In
addition, the wavelet-domain performance assessment of this case
study highlights the frequencies that are not well reproduced by the
model, which gives specific indications about how to improve the
model structure.</abstract>
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