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THE LIGHTNING JUMP, AN
OPERATIONAL TOOL TO
FORECAST SEVERE WEATHER IN
CATALONIA, AND THE CAMPAING
"PICK UP THE STONE".
Farnell C. and Rigo T.
Servei Meteorològic de Catalunya (SMC).
www.meteo.cat
Introduction
The LJ is a sudden increase of the total number of lightning rate (Williams
et al. 1999).
It is a consequence of strong updraft which favours the crash between ice
particles and a higher separation of the charge (Williams, 2001).
This tool is used for forecasting SEVERE WEATHER
Hail > 2 cm
Tornados / Waterspout
Downburst
Strong wind gust
Definition
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Font:
Introduction
Examples of Severe Weather recorded in Catalonia
Font: Jesús Coines
Font: Farnell C
Font: O. Rodríguez
Font: F.F: Teixidó
Font: F,F.Teixidó
Before the algorithm …
The LLS of the SMC
operates in both
frequencies, LF and
VHF, allowing the
detection of IC and
CG flashes.
Lightning Location System (LLS)
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Few networks in
Europe have this
capability (IC detection)
The LLS is composed
of 4 detectors, with an
efficiency of > 90%
over the territory
Before the algorithm …
Multiplicity
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CG
IC LJ wM = N1 (with multiplicity)
LJ woM = N2 (without multiplicity)
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Separation of electrical charge
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The phenomena related to ordinary thunderstorms are strong rain and wind and small hail.
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Warning is triggered
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Conceptual Outline
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Increase updraft. Increase electrical charge.
Lightning Jump - Algorithm
The tool is an adaptation of research algorithms developed in the USA
(Schultz, Gatlin…) with some different requirements .
We have not considered the threshold to distinguish between severe or
ordinary thunderstorms.
The original algorithm takes into account Radar + Lightning Data.
We only consider Lightning Data. Why?
The Lightning Data allow us to execute the algorithm every minute.
In contrast, we obtain Radar Data every 6 minutes.
Adjustment
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Lightning Jump - Algorithm
How to detect LJ warning?
For each minute, we analyze each thunderstorms
We transform the flashes to points on the map
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Algorithm
How to detect LJ warning?
The points are joined between them
Its center point characterizes the thunderstorm through :
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Coordinates Hour Flashes number Size
The Lightning Jump: a tool for forecasting sever weather
How to detect a severe storm?
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Once we have the point which represents the thunderstorms
t
We see the thunderstorm's track during the last 12 minutes
REQUIRIMENTS
And its evolution of electrical activity
To make the algorithm work, it is necessary to accomplish: - Continuity in space - Continuity in time during the 12 minutes
Algorithm
This period of 12 minutes is divided into periods of 2 minutes. Then, we
calculate the average of Total Lightning (TL) of each period.
How to detect LJ warning?
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Algorithm
The averages are subtracted sequentially between them
How to detect LJ warning?
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The standard deviation of all DFRDT is calculated
Characteristics
This tool needs the TL (intra-cloud (IC) + cloud-to-ground (CG)) to work well.
Total Lightning (TL)
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CLOUD TO GROUND TOTAL LIGHTNING
Lightning Only CG
CG+IC (TL)
Nº alerts (2006 – 2015)
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5,262
Characteristics
The number of LJ taking into
account multiplicity is higher
than not considering the
multiplicity (only the first node
of IC).
Multiplicity
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Type Of LJ
Without Multiplicity
With Multiplicity
Nº alerts (2016 )
104
426
Nº alerts (2017)
101 326
With Multiplicity Without Multiplicity
2018
748 197 No. of LJ
Results and validation 2018
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SKILLS
SCORES
LEAD TIME
PC: Percentage of correct predictions FAR: False Alarms
POD 87,93
FAR 1,92
BIAIX 89,66POD 87,93
FAR 1,92
BIAIX 89,66POD 87,93
FAR 1,92
BIAIX 89,66
Campaing “Picking Up The Stone” 2017 & 2018
Agreement with County Councils of Lleida and Girona
Agreement with l’ADV Terres de Ponent
Agreement with Leon Universtity (ULE).
Preparation to external level
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Exemple de granímetre
Part de l’anàlisi d’un granímetre.
Campaing “Picking Up The Stone” 2017 & 2018
Preparation of the web meteo.cat
Radio and social media advertising.
Preparation on:
whatsapp, 667051592
Manager of photos,
Social media:
– twitter #meteocatpedra
– Email: [email protected]
Preparation to internal level
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Campaing “Picking Up The Stone” 2018
Monthly Distribution
No. Observations/month No. Warnings/month