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  4. Lightning Potential Index performances in multimicrophysical cloud-resolving simulations of a back-building mesoscale convective system: The Genoa 2014 event
 
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research article

Lightning Potential Index performances in multimicrophysical cloud-resolving simulations of a back-building mesoscale convective system: The Genoa 2014 event

Lagasio, M.
•
Parodi, A.
•
Procopio, R.
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2017
Journal of Geophysical Research: Atmospheres

Severe weather events are responsible for hundreds of fatalities and millions of euros of damage every year on the Mediterranean basin. Lightning activity is a characteristic phenomenon of severe weather and often accompanies torrential rainfall, which, under certain conditions like terrain type, slope, drainage, and soil saturation, may turn into flash flood. Building on the existing relationship between significant lightning activity and deep convection and precipitation, the performance of the Lightning Potential Index, as a measure of the potential for charge generation and separation that leads to lightning occurrence in clouds, is here evaluated for the V-shape back-building Mesoscale Convective System which hit Genoa city (Italy) in 2014. An ensemble of Weather Research and Forecasting simulations at cloud-permitting grid spacing (1km) with different microphysical parameterizations is performed and compared to the available observational radar and lightning data. The results allow gaining a deeper understanding of the role of lightning phenomena in the predictability of V-shape back-building Mesoscale Convective Systems often producing flash flood over western Mediterranean complex topography areas. Moreover, they support the relevance of accurate lightning forecasting for the predictive ability of these severe events.

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Type
research article
DOI
10.1002/2016JD026115
Web of Science ID

WOS:000401180800007

Author(s)
Lagasio, M.
•
Parodi, A.
•
Procopio, R.
•
Rachidi, F.  
•
Fiori, E.
Date Issued

2017

Publisher

Amer Geophysical Union

Published in
Journal of Geophysical Research: Atmospheres
Volume

122

Issue

8

Start page

4238

End page

4257

Subjects

lightning prediction

•

numerical weather prediction

•

extreme events

•

deep convection

•

orographic precipitation

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-STI-FR  
Available on Infoscience
April 26, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/136600
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