2011
DOI: 10.1007/s10712-011-9146-y
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Using Lightning Data to Better Understand and Predict Flash Floods in the Mediterranean

Abstract: One of the costliest natural hazards around the globe is flash floods, resulting from localized intense convective precipitation over short periods of time. Since intense convective rainfall (especially over the continents) is well correlated with lightning activity in these storms, a European Union FP6 FLASH project was realized from 2006 to 2010, focusing on using lightning observations to better understand and predict convective storms that result in flash floods. As part of the project, 23 case studies of … Show more

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Cited by 37 publications
(15 citation statements)
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“…Our study complements other recent efforts focused on using lightning observations to better understand and predict convective storms and their consequences, for example, flash floods (Price et al, 2011a, b;Koutroulis et al, 2012).…”
Section: Gaál Et Al: Selection Of Intense Storms By Rainfall Intesupporting
confidence: 68%
“…Our study complements other recent efforts focused on using lightning observations to better understand and predict convective storms and their consequences, for example, flash floods (Price et al, 2011a, b;Koutroulis et al, 2012).…”
Section: Gaál Et Al: Selection Of Intense Storms By Rainfall Intesupporting
confidence: 68%
“…Links between severe weather phenomena including lightning flashes, tornadoes, hail storms, wind gusts and flash floods have been studied for many years. As IC observations were not widely recorded and disseminated, numerous investigations used CG reports to predict severe weather (e.g., Price et al, 2011;Kohn et al, 2011). However, in the past decade it has been shown that the total lightning activity is a more reliable indicator of severe weather (e.g., MacGorman et al, 1989;Goodman et al, 1988;Williams et al, 1999;Montanyà et al, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…Starting from those statistics, the probability of detection (POD), false alarm rate (FAR), the bias, and the equitable threat score (ETS) were computed (Price et al, 2011;Lynn et al, 2012;Wilks, 2006):…”
Section: Scoresmentioning
confidence: 99%
“…The FLASH project (Price et al, 2011) aimed at improving the understanding and forecasting ability of flash floods in the Mediterranean region using lightning data. It was found that real-time lightning observations on a regional basis are very useful in detecting, monitoring and tracking intense thunderstorm activity on large spatial scales.…”
Section: Introductionmentioning
confidence: 99%