2005
DOI: 10.5194/adgeo-5-83-2005
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Investigation of the transferability of hydrological models and a method to improve model calibration

Abstract: Abstract. In order to find a model parameterization such that the hydrological model performs well even under different conditions, appropriate model performance measures have to be determined. A common performance measure is the Nash Sutcliffe efficiency. Usually it is calculated comparing observed and modelled daily values. In this paper a modified version is suggested in order to calibrate a model on different time scales simultaneously (days up to years). A spatially distributed hydrological model based on… Show more

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Cited by 45 publications
(45 citation statements)
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“…Hartmann and Bárdossy, 2005). The tests showed good performance in both catchments with R eff of about 0.80 in the two sub-catchments and low Q values.…”
Section: Transferability Of Model Parametersmentioning
confidence: 84%
“…Hartmann and Bárdossy, 2005). The tests showed good performance in both catchments with R eff of about 0.80 in the two sub-catchments and low Q values.…”
Section: Transferability Of Model Parametersmentioning
confidence: 84%
“…A review of the authors discussing this issue in hydrology includes Wagener et al (2003), Hartmann and Bárdossy (2005), Son and Sivapalan (2007) 2012), Gharari et al (2013) and Zhan et al (2013). Some of these studies present new calibration criteria better balancing the weight of different error types (e.g.…”
Section: Possible Implications For Climate Change Impact Studiesmentioning
confidence: 99%
“…This avoids the need for model calibration against observations, while the regional approach provides hydrological response indices that can be used to further constrain the model predictions. An alternative to a priori parameter estimation is the regionalization of model parameters from similar catchments (Merz and Blöschl 2004, Hartmann and Bárdossy 2005, Wagener and Wheater 2006. The second strategy uses regionalized streamflow signatures based on gauged catchments.…”
Section: Introductionmentioning
confidence: 99%