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| Titel |
Spatial interpolation of hourly rainfall – effect of additional information, variogram inference and storm properties |
| VerfasserIn |
A. Verworn, U. Haberlandt |
| 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 ; 15, no. 2 ; Nr. 15, no. 2 (2011-02-14), S.569-584 |
| Datensatznummer |
250012645
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| Publikation (Nr.) |
 copernicus.org/hess-15-569-2011.pdf |
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| Zusammenfassung |
Hydrological modelling of floods relies on precipitation data with a high
resolution in space and time. A reliable spatial representation of short
time step rainfall is often difficult to achieve due to a low network
density. In this study hourly precipitation was spatially interpolated with
the multivariate geostatistical method kriging with external drift (KED)
using additional information from topography, rainfall data from the denser
daily networks and weather radar data. Investigations were carried out for
several flood events in the time period between 2000 and 2005 caused by
different meteorological conditions. The 125 km radius around the radar
station Ummendorf in northern Germany covered the overall study region. One
objective was to assess the effect of different approaches for estimation of
semivariograms on the interpolation performance of short time step rainfall.
Another objective was the refined application of the method kriging with
external drift. Special attention was not only given to find the most
relevant additional information, but also to combine the additional
information in the best possible way. A multi-step interpolation procedure
was applied to better consider sub-regions without rainfall.
The impact of different semivariogram types on the interpolation performance
was low. While it varied over the events, an averaged semivariogram was
sufficient overall. Weather radar data were the most valuable additional
information for KED for convective summer events. For interpolation of
stratiform winter events using daily rainfall as additional information was
sufficient. The application of the multi-step procedure significantly helped
to improve the representation of fractional precipitation coverage. |
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