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Titel |
From runoff to rainfall: inverse rainfall–runoff modelling in a high temporal resolution |
VerfasserIn |
M. Herrnegger, H. P. Nachtnebel, K. Schulz |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1027-5606
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Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 19, no. 11 ; Nr. 19, no. 11 (2015-11-23), S.4619-4639 |
Datensatznummer |
250120854
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Publikation (Nr.) |
copernicus.org/hess-19-4619-2015.pdf |
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Zusammenfassung |
Rainfall exhibits a large spatio-temporal variability, especially in complex
alpine terrain. Additionally, the density of the monitoring network in
mountainous regions is low and measurements are subjected to major errors,
which lead to significant uncertainties in areal rainfall estimates. In
contrast, the most reliable hydrological information available refers to
runoff, which in the presented work is used as input for an inverted
HBV-type rainfall–runoff model that is embedded in a root finding algorithm.
For every time step a rainfall value is determined, which results in a
simulated runoff value closely matching the observed runoff. The inverse
model is applied and tested to the Schliefau and Krems catchments, situated
in the northern Austrian Alpine foothills. The correlations between inferred
rainfall and station observations in the proximity of the catchments are of
similar magnitude compared to the correlations between station observations
and independent INCA (Integrated Nowcasting through Comprehensive Analysis) rainfall analyses provided by the Austrian Central
Institute for Meteorology and Geodynamics (ZAMG). The cumulative
precipitation sums also show similar dynamics. The application of the
inverse model is a promising approach to obtain additional information on
mean areal rainfall. This additional information is not solely limited to
the simulated hourly data but also includes the aggregated daily rainfall
rates, which show a significantly higher correlation to the observed values.
Potential applications of the inverse model include gaining additional
information on catchment rainfall for interpolation purposes, flood
forecasting or the estimation of snowmelt contribution. The application is
limited to (smaller) catchments, which can be represented with a lumped
model setup, and to the estimation of liquid rainfall. |
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