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The Impact of Different Elevation Steps on Simulation of Snow Covered Area and the Resulting Runoff Variance : Volume 32, Issue 32 (13/12/2012)

By Bellinger, J.

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Book Id: WPLBN0003977321
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: The Impact of Different Elevation Steps on Simulation of Snow Covered Area and the Resulting Runoff Variance : Volume 32, Issue 32 (13/12/2012)  
Author: Bellinger, J.
Volume: Vol. 32, Issue 32
Language: English
Subject: Science, Advances, Geosciences
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Schneider, K., Schöber, J., Schöberl, F., Bellinger, J., Kirnbauer, R., & Achleitner, S. (2012). The Impact of Different Elevation Steps on Simulation of Snow Covered Area and the Resulting Runoff Variance : Volume 32, Issue 32 (13/12/2012). Retrieved from

Description: alpS – Centre for Climate Change Adaptation Technologies, Innsbruck, Austria. This study analyses the impact of vertical model discretisation on modelling snow covered area and the consequential effects on runoff formation of the semi-distributed water balance model HQsim. Therefore, the parameters relevant for snow modelling are varied within the frame of a uniformly distributed Monte Carlo Simulation (MCS). Since the model is based on the hydrological response unit (HRU) approach, the effect of building the HRUs with different elevation steps (250 m and 500 m) is tested for two alpine catchments. In total 5000 parameter combinations were generated for simulation. The results of modelled snow covered area were compared with thirty MODIS (Moderate Resolution Imaging Spectroradiometer) snow cover maps for the melting periods in 2003–2011. Based on a contingency table the comparisons were evaluated by different skill measures. Finally, the pareto optimal parameter settings of each skill measure were detected. Evaluation of runoff variability within the MCS and their pareto optimal runs show reduced variances of model output resulting from an improved simulation of the snow covered area.

The impact of different elevation steps on simulation of snow covered area and the resulting runoff variance

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