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| Titel |
Spatial correlation of radar and gauge precipitation data in high temporal resolution |
| VerfasserIn |
J. Brommundt, A. Bárdossy |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: Observation, Prediction and Verification of Precipitation (EGU Session 2006) ; Nr. 10 (2007-04-26), S.103-109 |
| Datensatznummer |
250007860
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| Publikation (Nr.) |
 copernicus.org/adgeo-10-103-2007.pdf |
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| Zusammenfassung |
A multi-sites precipitation time series generator for engineering designs is
currently being developed. The objective is to generate several time series'
simultaneously with correct inter-station relationships. Therefore, a model
to estimate correlation between stations for arbitrary points in a project
area is needed, using rain gauge data as well as radar data.
Two methods are applied to compare the spatial behaviour of precipitation in
both the rain gauge data and the radar data. The first approach is to
calculate precipitation intensities from radar reflectivity and use it as
gauge data. The results show that the spatial structure in both data sets is
similar, but cross correlation varies too much to use radar derived spatial
correlation to describe gauge inter-station relationship. Thus, a second
approach was tested to account for the differences in the spatial correlation
associated to the distribution. Using the indicator time series, cross
correlations for different quantiles were calculated from both the rain gauge
and radar data. This approach shows that cross correlation varies depending
on the chosen quantile. In the lower quantiles, the correlation is very
similar in rain gauge and radar data, hence a transfer is possible. This
insight is useful to derive cross correlations of rain gauges from radar
images. Correlation data for rain gauges thus obtained contains all the
information about heterogeneity and anisotropy of the spatial structure of
rainfall, which is in the radar data. |
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