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| Titel |
Technical Note: The normal quantile transformation and its application in a flood forecasting system |
| VerfasserIn |
K. Bogner, F. Pappenberger, H. L. Cloke |
| 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 ; 16, no. 4 ; Nr. 16, no. 4 (2012-04-02), S.1085-1094 |
| Datensatznummer |
250013251
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| Publikation (Nr.) |
 copernicus.org/hess-16-1085-2012.pdf |
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| Zusammenfassung |
| The Normal Quantile Transform (NQT) has been used in many hydrological and
meteorological applications in order to make the Cumulated Distribution
Function (CDF) of the observed, simulated and forecast river discharge, water
level or precipitation data Gaussian. It is also the heart of the
meta-Gaussian model for assessing the total predictive uncertainty of the
Hydrological Uncertainty Processor (HUP) developed by Krzysztofowicz. In the
field of geo-statistics this transformation is better known as the
Normal-Score Transform. In this paper some possible problems caused by small
sample sizes when applying the NQT in flood forecasting systems will be
discussed and a novel way to solve the problem will be outlined by combining
extreme value analysis and non-parametric regression methods. The method will
be illustrated by examples of hydrological stream-flow forecasts. |
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