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- W3045722593 abstract "Article history: Received 15 February 2010 Received in revised form 16 August 2010 Accepted 17 August 2010 Thunderstorms are often the cause of severe and disastrous flash floods. Lightning activity within these storms can be detected andmonitored continuously from thousands of kilometers away and can therefore be very useful in improving forecasts and now-casts of severe thunderstorms. An improvement in the now-casting of such storms can assist in reducing damages and saving lives. Using the ZEUS ground-based VLF lightning detection network and the Warning Decision Support System–Integrated Information (WDSS–II) software, we performed now-casting simulations using 1 year of lightning data over the Mediterranean area. Thousands of thunderstorms were observed and now-cast 30, 60, 90 and 120 min ahead. Statistical analysis was then done by calculating the hit,miss and false-alarm rates, as well as the POD, FAR and CSI scores in order to determine the success of the now-casting. The results show that the algorithm is overall successful in now-casting the location of the lightning clusters, especially when applied to strong and consistent lightning events (it is these events which also have the strongest connection to flash floods). The probability of detection (POD) values range between 0.46 for 30 minute now-casts and 0.25 for 120 minute now-casts. The critical success index (CSI) values are quite similar, but slightly lower. The now-casting has a low false-alarm rate, 0.03 for 30 minute now-casts, which is also beneficial for operational use. This method has been implemented for the use in real-time now-casting and is used in the EU FLASH project to seek and track areas of thunderstorm risk according to lightning intensity. The experimental now-casts appear on the project website (www.flashproject.org/). © 2010 Elsevier B.V. All rights reserved." @default.
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- W3045722593 date "2010-05-01" @default.
- W3045722593 modified "2023-09-23" @default.
- W3045722593 title "Now-Casting Thunderstorms in the Mediterranean Region using Lightning Data" @default.
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