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| Titel |
Extreme rainfall statistics from weather radar |
| VerfasserIn |
A. Overeem, T. A. Buishand, I. Holleman |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250022510
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| Zusammenfassung |
| Rain gauge data are often utilized to estimate the probabilities of extreme rainfall.
However, the number of rain gauge records of short-duration rainfall, such as 5 minutes,
is sparse. The obvious advantage of radar data with respect to most rain gauge
networks is their higher temporal and spatial resolutions. Further, the current quality of
quantitative precipitation estimation with radar and the length of the available time series
make it feasible to calculate radar-based extreme rainfall statistics. In this paper a
10-year radar data set of precipitation depths for durations of 5 min to 24 hour
is derived for the Netherlands (3.55 ⋅ 104 km2). The radar data are adjusted by
combining an hourly mean-field bias adjustment using an automatic rain gauge
network with a daily spatial adjustment employing a dense manual gauge network. A
regional frequency analysis, assuming a GEV distribution, is used to describe the
distribution of the annual radar rainfall maxima. Regional variability in extreme rainfall
statistics is studied. Further, radar rainfall depth-duration-frequency (DDF) curves are
derived and compared with those based on rain gauge data. DDF curves describe
rainfall depth as a function of duration for given return periods or probabilities of
exceedance.
Key words: Rainfall, DDF curves, radar, GEV distribution |
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