the value of weather radar data for the estimation of design storms – an analysis for the hannover region
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2016
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Abstract
Pure radar rainfall, station rainfall and radar-station
merging products are analysed regarding extreme rainfall frequencies with
durations from 5 min to 6 h and return periods from 1 year to 30 years. Partial duration series of the extremes are derived from the data and
probability distributions are fitted. The performance of the design rainfall
estimates is assessed based on cross validations for observed station
points, which are used as reference. For design rainfall estimation using
the pure radar data, the pixel value at the station location is taken; for
the merging products, spatial interpolation methods are applied. The results
show, that pure radar data are not suitable for the estimation of extremes.
They usually lead to an overestimation compared to the observations, which
is opposite to the usual behaviour of the radar rainfall. The merging
products between radar and station data on the other hand lead usually to an
underestimation. They can only outperform the station observations for
longer durations. The main problem for a good estimation of extremes seems
to be the poor radar data quality.
| Reference Key |
haberlandt2016proceedingsthe
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|---|---|
| Authors | ;U. Haberlandt;C. Berndt |
| Journal | gruppe interaktion organisation zeitschrift fur angewandte organisationspsychologie |
| Year | 2016 |
| DOI |
10.5194/piahs-373-81-2016
|
| URL | |
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