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| Titel |
Selection of intense rainfall events based on intensity thresholds and lightning data in Switzerland |
| VerfasserIn |
L. Gaal, P. Molnar, J. Szolgay |
| 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 ; 18, no. 5 ; Nr. 18, no. 5 (2014-05-06), S.1561-1573 |
| Datensatznummer |
250120343
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| Publikation (Nr.) |
 copernicus.org/hess-18-1561-2014.pdf |
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| Zusammenfassung |
| This paper presents a method to identify intense warm season storms with
convective character based on intensity thresholds and the presence of
lightning, and analyzes their statistical properties. Long records of
precipitation and lightning data at 4 stations and 10 min resolution in
different climatological regions in Switzerland are used. Our premise is that
thunderstorms associated with lightning generate bursts of high rainfall
intensity. We divided all recorded storms into those accompanied by lightning
and those without lightning and found the threshold I* that separates
intense events based on peak 10 min intensity Ip ≥ I* for a
chosen misclassification rate α. The performance and robustness of the
selection method was tested by investigating the inter-annual variability of
I* and its relation to the frequency of lightning strikes. The probability
distributions of the main storm properties (rainfall depth R, event
duration D, average storm intensity Ia and peak 10 min
intensity Ip) for the intense storm subsets show that the event
average and peak intensities are significantly different between the
stations. Non-parametric correlations between the main storm properties were
estimated for intense storms and all storms including stratiform rain. The
differences in the correlations between storm subsets are greater than those
between stations, which indicates that care must be exercised not to mix
events of different origin when they are sampled for multivariate analysis,
for example, copula fitting to rainfall data. |
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