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Automated thunderstorm tracking: utilization of three-dimensional lightning and radar data

Meyer, Vera und Höller, Hartmut und Betz, Hans-Dieter (2013) Automated thunderstorm tracking: utilization of three-dimensional lightning and radar data. Atmospheric Chemistry and Physics, 13, Seiten 5137-5150. Copernicus Publications. doi: 10.5194/acp-13-5137-2013. ISSN 1680-7316.

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Offizielle URL: http://www.atmos-chem-phys.net/13/5137/2013/acp-13-5137-2013.html

Kurzfassung

This paper presents a new hybrid method for automated thunderstorm observation by tracking and monitoring of electrically charged cells (ec-TRAM). The developed algorithm combines information about intense ground precipitation derived from low-level radar-reflectivity scans with three-dimensionally resolved lightning data, which are provided by the European VLF/LF lightning detection network LINET. Based on the already existing automated radar tracker rad-TRAM (Kober and Tafferner, 2009), the new method li-TRAM identifies and tracks electrically active regions in thunderclouds using lightning data only. The algorithm ec-TRAM uses the output of the two autonomously operating routines rad-TRAM and li-TRAM in order to assess, track, and monitor a more comprehensive picture of thunderstorms. The main motivation of this work is to assess the benefit of three-dimensionally resolved total lightning (TL) information for thunderstorm tracking and monitoring. The focus is laid on the temporal development whereby TL is characterized by an effective in-cloud (IC) and cloud-to-ground (CG) event discrimination. It is found that the algorithms li-TRAM and ec-TRAM are both feasible methods for thunderstorm monitoring with potential for nowcasting. The tracking performance of li-TRAM turns out to be comparable to that of rad-TRAM, a result that strongly encourages utilization of lightning data as independent data source for thunderstorm tracking. It is found that lightning data allow an accurate and close monitoring of storm regions with intense internal dynamics as soon as convection induces electrical activity. A case study shows that the current short-term storm dynamics are clearly reflected in the amount of strokes, change of stroke rates and IC/CG ratio. The hybrid method ec-TRAM outperforms rad-TRAM and li-TRAM regarding reliability and continuous assessment of storm tracks especially in more complexly developing storms, where the use of discharge information contributes to more detailed information about storm stage and storm evolution.

elib-URL des Eintrags:https://elib.dlr.de/85712/
Dokumentart:Zeitschriftenbeitrag
Titel:Automated thunderstorm tracking: utilization of three-dimensional lightning and radar data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Meyer, VeraDLRNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Höller, HartmutDLRNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Betz, Hans-DieterLMUNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2013
Erschienen in:Atmospheric Chemistry and Physics
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:13
DOI:10.5194/acp-13-5137-2013
Seitenbereich:Seiten 5137-5150
Verlag:Copernicus Publications
ISSN:1680-7316
Status:veröffentlicht
Stichwörter:Thunderstorm, Lightning, Nowcasting, Radar
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:L VU - Luftverkehr und Umwelt (alt)
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L VU - Luftverkehr und Umwelt
DLR - Teilgebiet (Projekt, Vorhaben):L - Luftverkehr und Wetter (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Physik der Atmosphäre > Wolkenphysik und Verkehrsmeteorologie
Hinterlegt von: Höller, Dr.rer.nat. Hartmut
Hinterlegt am:27 Nov 2013 09:59
Letzte Änderung:22 Jun 2023 10:31

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