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| Titel |
Quantifying the performance of two conceptual models for snow dominated catchments in Austria and Turkey |
| VerfasserIn |
Aynur Sensoy, Juraj Parajka, Cihan Coskun, Arda Sorman, Cansaran Ertas |
| 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 |
250094985
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| Publikation (Nr.) |
 EGU/EGU2014-10421.pdf |
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| Zusammenfassung |
| In many mountainous regions, snowmelt makes significant contribution to streamflow,
particularly during spring and summer months. Understanding the magnitude and timing of
this contribution and hydrological forecasts are essential for a range of purposes concerning
the implications with water resources management. Conceptual hydrological models have
been widely applied for mountain catchments both for operational and scientific
applications. Hydrologiska Byran Vattenbalansavdelning (HBV) and Snowmelt Runoff
Model (SRM) are selected in this study as the commonly used conceptual models
in hydrological modeling forecasting for a number of basins in several countries.
Moreover, this selection is also supported by the experiences on the improvement and
application in remote sensing techniques in snow dominated regions. The greatest
similarity between the two models is that each uses a temperature index method
to predict melt rate whereas the greatest difference lies in the way snow cover is
handled.
In mountainous regions, data limitations prevent detailed understanding of the
variability of snow cover and melt. In situ snowpack measurements are sparsely
distributed relative to snowpack heterogeneity therefore, to supplement ground
measurements; remotely sensed images of snow covered area (SCA) provide useful
information for runoff prediction during the snowmelt season. SCA has been used as
a direct input to SRM and as a means of checking the internal validity for HBV
model. Moderate Resolution Imaging Spectroradiometer (MODIS) daily snow
cover products with 500 m spatial resolution are used to derive SCA data in this
study.
A number of studies have been reported in the literature indicated that the model
performance can vary depending on several factors, including the scale and characteristics of
the catchment, availability of the data required and runoff producing mechanism. Therefore,
five different catchments including data scare and rich basins, areas and reliefs
changing in between 1000-10250 km2and 1250-3050 m, respectively, in Austria
and Turkey are tested to understand the impact of catchment properties on model
simulations.
Both models are used to simulate runoff for the years 2001-2010 with the period of
2001-2008 and 2009-2011 for model calibration and validation, respectively. The overall
model calibration performance evaluated with the model efficiency is above 0.70
and volume difference less than 10% for both of the models. Discussion of results
are supervised to reflect the general debates in hydrologic modeling in terms of
parameters and calibration, internal validation, the value and limitations of using
satellite derived data, impact of different catchment properties with emphasis on
the contrasting treatments in two widely used hydrologic models, SRM and HBV. |
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