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| Titel |
Concept of dealing with uncertainty in radar-based data for hydrological purpose |
| VerfasserIn |
J. Szturc, K. Ośródka, A. Jurczyk, L. Jelonek |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 8, no. 2 ; Nr. 8, no. 2 (2008-03-27), S.267-279 |
| Datensatznummer |
250005407
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| Publikation (Nr.) |
 copernicus.org/nhess-8-267-2008.pdf |
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| Zusammenfassung |
| Precipitation radar-based data constitute essential input to Numerical
Weather Prediction (NWP) and rainfall-runoff models, however the data
introduce a number of errors. Thus their uncertainty should be determined to
provide end-users with more reliable information about forecasts. The common
idea is to use Quality Index (QI) scheme for some number of quality parameters
on the assumption that: (1) relationship between the parameters and relevant
quality indexes is linear; (2) averaged QI is a weighted average of all
particular indexes. The uncertainty parameters can be topography-dependent,
resulting from spatial and temporal distribution of data, etc. Uncertainty
in radar-based data is described by gamma PDF of precipitation, and it is
proposed to determine the probability density function (PDF) parameters
basing on QI values. Practically, precipitation is presented as ensemble of
quantiles of the PDF and such an ensemble can constitute input to
rainfall-runoff modelling. Since the ensemble is a precipitation input, the
hydrological model needs to be activated according to a number of input
members. |
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