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| Titel |
Validation of the Meteosat storm detection and nowcasting system Cb-TRAM with lightning network data – Europe and South Africa |
| VerfasserIn |
T. Zinner, C. Forster, E. Coning, H.-D. Betz |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 6, no. 6 ; Nr. 6, no. 6 (2013-06-19), S.1567-1583 |
| Datensatznummer |
250017912
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| Publikation (Nr.) |
 copernicus.org/amt-6-1567-2013.pdf |
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| Zusammenfassung |
In this paper, recent changes to the Meteosat thunderstorm
TRacking And Monitoring algorithm (Cb-TRAM) are presented as well as
a validation of Cb-TRAM against data from the European ground-based LIghtning
NETwork (LINET) of Nowcast GmbH and the South African Weather Service
Lightning Detection Network (SAWS LDN). Validation
is conducted along the well-known skill measures probability of
detection (POD) and false alarm ratio (FAR) on the basis of
Meteosat/SEVIRI pixels as well as on the basis of thunderstorm
objects. The values obtained demonstrate specific limitations of Cb-TRAM,
as well as limitations of satellite methods in general which
are based on thermal emission and solar reflectivity information from
thunderstorm cloud tops.
Although the climatic conditions and the occurrence of thunderstorms are
quite different for Europe and South Africa, quality score values
are similar. Our conclusion is that Cb-TRAM provides robust results of
well-defined quality for very different climatic regimes. The POD for
a thunderstorm with intense lightning is about 80% during
the day. The FAR for a Cb-TRAM detection which is not even
close to intense lightning is about 50%. If only
proximity to any lightning activity is required, FAR is
much lower at about 15%. Pixel-based analysis shows that
detected thunderstorm object size is not indiscriminately large,
but well within physical limitations of the satellite method. Night-time POD
and FAR are somewhat worse as the detection scheme does not use the high-resolution
visible information during night-time hours. Nowcasting scores show useful values
up to approximately 30 min in advance. |
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