(Hae-Sup Shim)
†
Copyright © The Korean Institute of Illuminating and Electrical Engineers(KIIEE)
Key words
Critical success index, Electrostatic field, Intra-cloud discharges
1. INTRODUCTION
In November 2011, to protect critical facility against cloud-to-ground strikes, as
part of positive-lightning protection system (LPS), a stand-alone lightning warning
system (SLWS), named ALARM by Vaisala Inc., based on intra-cloud discharges (IC),
cloud-to-ground flashes (CG), and atmospheric electric field data (EF) was installed
at Jin-cheon, National Meteorological Satellite Center (NMSC), 160 m middle sea level
(MSL), Republic of Korea.
Previously, the warning performance of the SLWS with introducing various kinds of
warning trigger and clear conditions, including the number of flashes for one minute,
data combination, type of flashes, atmospheric electric field data (EF) threshold,
and dwell time(DT), has been analyzed for eight years(1,2,3,4,5). As the results of the prior studies, following have been found.
․ As basic warning definitions, the +1.5 ∼ -3 kV/m threshold warning method using
EF with five minute dwell time (DT) was the critical hindrance to reducing FAR(5).
․ Due to probability of detection (POD) decreased steadily for longer lead times for
CG, it was not possible for the system to apply more than two second lead time (LT).
As found previously, at twenty minute LT, the POD was diminished by zero(4).
․ When using IC for trigger conditions, the number of flashes for one minute should
be located at two because of decreased POD with one, and increased FAR with three.
In the Jin-cheon city as the study area, 24% of the first cloud-to-ground strike in
the area of concern (AOC) lagged the first IC by one second to sixty four minutes
during the summers 2015, and 2016(3).
․ To decrease failure to warn (FTW) (to increase POD), the thirty five minute DT as
a clear time interval has been applied since 2016. As an inevitable consequence of
the decision, total alarm duration (TAD) including LT, warning time (WT), and dwell
time (DT) has became longer than before(2).
․ The logical OR (union) combination with IC and CG was better than AND (intersection)
option of them to POD, whereas the critical success index (CSI) as the function of
both POD and false alarm ratio (FAR) became worse than IC only(1).
In this study, to ascertain the way to increase the CSI, the warning performance with
logical AND combination between IC and EF has been examined during the summers of
2018, and 2019. Warning statistics with CG in the area of concern (CGAOC), successful
prior warning (SUC), false alarm (FR), and FTW have been collected to evaluate the
warning conditions. The collected statistics have been analyzed, and compared with
other conditions including prior literature, such as Murphy and Said (2016), by using
POD, FAR, CSI, and TAD(6).
2. STAND ALONE LIGHTNING WARNING SYSTEM (SLWS)
The composition, specification, and warning method of the SLWS used in this study
are the same as in my past studies(1,2,3,4,5). To help readers understand better, Table 1, and Fig 1 show the information of the SLWS again.
Table 1. Composition, and Specification
Composition
(model)
|
Specification
|
Thunderstorm sensor
(TSS928)
|
◆electric and magnetic field antennas, optical sensor
◆detection efficiency of CG
- 99.9% within 19 ㎞ radius with 3 or more CG, ※ 90% within 19㎞ radius with 1 CG
- directional CG detection
◆detection efficiency of IC
-25% within 16㎞ radius(※ 2-5% within 16-48㎞)
-omnidirectional IC detection
|
Electric field Sensor
(EFM550)
|
◆detection range: 20 km radius, accuracy: ±10%
◆electric field range: ±10 kV/m
◆sampling rate: 10 Hz
|
Relay Module
|
◆automatic audiovisual alerts, switching from normal to emergency(e.g. generator)
power, and on/off power control of critical load
|
Display Software
|
◆control of warning condition(either HIGH POD or LOW FAR setting is available)
◆display of sensors and system status
|
Fig. 1. Fixed two areas and one area for warning method of the SLWS
When using CG for the type of flashes as warning conditions, the two areas warning
method composed of AOC and warning area (WA) is illustrated in Figure 1(left). AOC and WA are circles with radii of 9 and 19 km. The AOC area for which warnings
are needed is surrounding the central point of interest (PI). The AOC is surrounded
by a second region named the WA. The primary purpose of monitoring lightning activity
within the WA is to provide advance notice of the possibility of cloud-to-ground strikes
in the AOC. To raise the POD(to decrease FTW), all sectors within WA can be selected.
On the other hand, only the three western most sectors for the prior warning tier
can be chosen to decrease FA(to increase CSI) since the location of NMSC where thunderstorms
tend to move in from the west. Because there is a trade-off between the POD and FAR
in the system, it is not possible to optimize both POD and FAR at the same time. Therefore,
users introducing the system should decide where to put their goal.
Figure 1(right) shows warning method called one area when using IC. Due to the minimal and
omnidirectional detection of IC data from the system, radius is limited at 16 km without
sectors. The warning methods adopted in this paper are the one area for IC, and threshold
warning for EF. Those are similar to the “lightning AND electric field rule” used
by Murphy and Said (2016)(6).
The SLWS is set up to enable a red light, siren and to turn on/off power of critical
systems whenever warning tier triggered and keep the warning going until set DT after
the warning condition is below setting value. The Table 2 provides detail on the trigger and clear conditions used by each warning tier. High
Alert 1 is a condition in which lightning is already presenting in the AOC, whereas
other tiers are for prior warning. According to the results of prior studies(1,2,3,4,5), each condition, such as the number of flashes for one minute, is chosen to raise
CSI. In order to evaluate the behavior of lightning warnings triggered by EF threshold,
different threshold values are considered varying between +1.0 and –1.5 kV/m through
the Test 1, 2 tier. The only difference of warning conditions between Test tiers is
the EF threshold. As noted in the introduction section, the thirty five minute is
adopted in this paper as DT.
Table 2. Warning conditions in 2018, and 2019
Warning
Tier
|
Using
Area
|
Trigger Conditions
|
Clear Conditions
|
number of flashes for one minute
|
type
of flashes
|
EF
threshold
(kV/m)
|
data
combination
|
dwell time (minute)
|
data combination
|
for CG, IC
|
for EF
|
Test 1
|
AOC
|
2
|
IC
|
+0.5, -1.0
|
AND
|
35
|
15
|
AND
|
Test 2
|
AOC
|
2
|
IC
|
+1.0, -1.5
|
AND
|
35
|
15
|
AND
|
Warning
|
WA
|
1
|
CG
|
-
|
-
|
35
|
-
|
-
|
High alert 2
|
AOC
|
2
|
IC
|
-
|
-
|
35
|
-
|
-
|
High alert 1
|
AOC
|
1
|
CG
|
-
|
-
|
35
|
-
|
-
|
3. WARNINGS
3.1 Basic Definitions
The three essential metrics of warning statistics, successful warning (SUC), FTW,
and FA, are summarized in Table 3. The CG in the area of concern (CGAOC) is the number of the first occurrence CG in
AOC. The POD, FAR, CSI, and FTW are calculated and verified each other by following
equations. Using the equations, and Table 3 to anticipate warning performance is such a widely used method except for CSI which
has been only adopted by my prior studies and here(1,2,3).
Table 3. Contingency table for warnings
|
Triggering Flashes(CG or IC)
in AOC (or WA)
|
Yes
|
No
|
Warning
|
Yes
|
SUC
|
FA
|
No
|
FTW
|
|
Figure 2 describes the decisive tree for effective alert (EA), it is used to decide whether
one SUC is EA or not. Because one second is enough to turn on/off power automatically
in case of the NMSC, it is referred to as effective LT(2).
Fig. 2. Decisive tree for Effective Alert
3.2 Statistics and Performance
Table 4, Figure 3, and 4 show the results of warning performance and statistics taken from the SLWS during
the summers of 2018, and 2019, where summer is defined here as June, July, and August.
To compare with prior performance, the results from 2015 to 2017 are added. In my
prior study, it was already found that the logical OR (union) combination with IC
and CG was better than AND option of them to increase in POD, whereas the CSI as the
ideal balance between POD and FAR became worse relatively from 0.55 to 0.51 on an
average value of past three years than IC alone(1). To augment the CSI, as another warning condition, the logical AND combination between
IC and EF has been analyzed in this study during the last two summers. As noted in
introduction section, the EF was not used for warning conditions from 2015 to 2017,
because employing EF was not effective in raising performance during three summers
from 2012 to 2014(5). However, in 2016, the new positive results associated with using EF have been found
by Murphy, and Said (2016)(6). Therefore, in this study, the new warning definitions introduced by them have been
explored to ascertain whether the new condition is effective at another site or not.
The following were major results analyzed in this paper.
․ The best performance in CSI and FAR was occurred with combinational logic AND of
IC and EF (Test 1 tier), while the penalty was longer with LT as shown in Table 4 and Figure 5 even though the TAD including LT, WT, and DT showed little difference among the assessed
warning conditions. Effective LT in case of NMSC is one second enough to turn on/off
power automatically. However, another site like golf courses, the long LT is critical
as an evacuation time.
․ Considering the EF threshold, which was the only difference of warning conditions
between Test tiers, using the +0.5 ∼ -1.0 kV/m was better than +1.0 ∼ -1.5 for POD,
FAR, and CSI with fifteen minute DT.
Therefore, using the boolean condition of IC AND EF as the warning conditions, it
is a considerable way to improve CSI and FAR, at least in summer thunderstorms around
the NMSC.
3.3 Comparison with Others
The CSI as a function between POD and FAR is a useful index to compare one results
directly with other warning performance. In Table 5, direct performance comparisons with other literatures are made by using CSI, even
though making the comparisons are insufficient to confirm the reliability of warning
conditions given that there are numerous differences in them(6,7,8,9). Every POD and FAR in Table 5, is the average values during analysis duration. Due to CSI in other studies associated
with lightning warning performance is not founded, the index has been calculated at
the table. The best CSI in others is 0.46 by Murphy, and Said (2016) with “EF AND
(IC OR CG)”, two minute LT, 50% rate of AOC/WA, and thirty minute DT(6). In this study, the best CSI is 0.63, 37% increment as against their 0.46. Therefore,
the condition used in here with EF AND IC, one second LT, 47% rate of AOC/WA, and
thirty five minute DT, is more effective than others.
Table 4. Warning statistics and performance from 2015 to 2019
Year
|
Warning Tier
(data
combination)
|
Statistic
|
Performance
|
CG
AOC
|
SUC
|
FTW
|
FA
|
POD
|
FAR
|
CSI
|
LT(minute)
|
TAD
(minute)
|
Average
|
2019
|
Test 1(IC AND EF)
|
17
|
13
|
4
|
3
|
0.76
|
0.19
|
0.65
|
52
|
206
|
Test 2(IC AND EF)
|
12
|
5
|
4
|
0.71
|
0.25
|
0.57
|
14
|
90
|
1) warning(CG)
|
8
|
9
|
11
|
0.47
|
0.58
|
0.29
|
19
|
92
|
2) high alert 2(IC)
|
13
|
4
|
7
|
0.76
|
0.35
|
0.54
|
35
|
159
|
1) OR 2)(CG OR IC)
|
14
|
3
|
12
|
0.82
|
0.46
|
0.48
|
43
|
162
|
1) AND 2)(CG AND IC)
|
7
|
10
|
5
|
0.41
|
0.42
|
0.32
|
16
|
94
|
2018
|
Test 1(IC AND EF)
|
16
|
12
|
4
|
4
|
0.75
|
0.25
|
0.60
|
94
|
242
|
Test 2(IC AND EF)
|
10
|
6
|
4
|
0.63
|
0.29
|
0.50
|
25
|
123
|
1) warning(CG)
|
7
|
9
|
11
|
0.44
|
0.61
|
0.26
|
45
|
108
|
2) high alert 2(IC)
|
13
|
3
|
7
|
0.81
|
0.35
|
0.57
|
35
|
146
|
1) OR 2)(CG OR IC)
|
15
|
1
|
16
|
0.94
|
0.52
|
0.47
|
46
|
79
|
1) AND 2)(CG AND IC)
|
5
|
11
|
4
|
0.31
|
0.44
|
0.25
|
42
|
116
|
2017
|
watch 1(IC)
|
25
|
20
|
5
|
14
|
0.80
|
0.41
|
0.51
|
48
|
139
|
watch 2(IC)
|
19
|
6
|
5
|
0.76
|
0.21
|
0.63
|
39
|
137
|
1) warning(CG)
|
10
|
15
|
5
|
0.40
|
0.33
|
0.33
|
33
|
98
|
2) high alert 2(IC)
|
21
|
4
|
8
|
0.84
|
0.28
|
0.64
|
61
|
207
|
1) OR 2)(CG OR IC)
|
21
|
4
|
9
|
0.84
|
0.30
|
0.62
|
62
|
207
|
1) AND 2)(CG AND IC)
|
10
|
15
|
3
|
0.40
|
0.23
|
0.36
|
31
|
131
|
2016
|
watch(IC)
|
12
|
10
|
2
|
35
|
0.83
|
0.78
|
0.21
|
129
|
463
|
1) warning(CG)
|
6
|
6
|
2
|
0.50
|
0.25
|
0.43
|
8
|
71
|
2) high alert 2(IC)
|
10
|
2
|
10
|
0.83
|
0.50
|
0.45
|
55
|
471
|
1) OR 2)(CG OR IC)
|
10
|
2
|
11
|
0.83
|
0.52
|
0.43
|
55
|
471
|
1) AND 2)(CG AND IC)
|
6
|
12
|
1
|
0.50
|
0.14
|
0.46
|
8
|
68
|
2015
|
watch 2(IC)
|
16
|
14
|
2
|
55
|
0.88
|
0.80
|
0.20
|
19
|
106
|
warning(CG)
|
1
|
15
|
1
|
0.06
|
0.50
|
0.06
|
1
|
120
|
high alert 2(CG)
|
3
|
13
|
2
|
0.19
|
0.40
|
0.17
|
6
|
98
|
Fig. 3. Warning performance in POD, FAR, and CS
Fig. 4. Warning performance in LT, and TAD
Table 5. Comparison with other literatures
Reference
|
Analysis
Duration
|
Effective
Lead Time
|
Data
Combination
|
Radius (㎞)
|
Rate(%)
AOC/WA
|
Dwell Time
(minute)
|
POD
|
FAR
|
CSI
|
AOC
|
WA
|
Present study (2020)
(NMSC, Korea)
|
2015
∼ 2019
|
1 Sec.
|
only CG
|
9
|
19
|
47
|
35
|
0.38
|
0.45
|
0.27
|
2015
∼ 2019
|
only IC
|
16
|
N/A
|
N/A
|
35
|
0.82
|
0.46
|
0.48
|
2016
∼ 2019
|
CG OR(+) IC
|
9
|
19
|
47
|
35
|
0.85
|
0.48
|
0.47
|
2016
∼ 2019
|
CG AND(×) IC
|
9
|
19
|
47
|
35
|
0.41
|
0.33
|
0.34
|
2018,
2019
|
EF AND(×) IC
|
16
|
N/A
|
N/A
|
35
|
0.76
|
0.19
|
0.65
|
Martin J. Murphy et al. (2016) (US)(6)
|
2015
|
2 Min.
|
EF OR(+)
(IC OR CG)
|
10
|
20
|
50
|
30
|
1.00
|
0.78
|
0.22
|
EF AND(×)
(IC OR CG)
|
10
|
20
|
50
|
30
|
0.71
|
0.43
|
0.46
|
CG OR(+) IC
|
10
|
20
|
50
|
30
|
1.00
|
0.71
|
0.29
|
Holle et al. (2016) (US)(7)
|
2014
|
2 Min.
|
CG OR(+) IC
|
0.5
|
5
|
10
|
15
|
0.88
|
0.89
|
0.11
|
0.5
|
10
|
5
|
15
|
0.97
|
0.94
|
0.06
|
0.5
|
15
|
3
|
15
|
0.97
|
0.96
|
0.04
|
4.8
|
15
|
32
|
15
|
0.90
|
0.72
|
0.27
|
Schmitt et al. (2016)(EU)(8)
|
2010
∼ 2015
|
20 Min.
|
CG OR(+) IC
|
10
|
20
|
50
|
60
|
0.82
|
0.65
|
0.33
|
Holle et al. (2014)
(US)(9)
|
2013
|
2 Min.
|
CG OR(+) IC
|
4.8
|
15
|
32
|
15
|
0.83
|
0.71
|
0.27
|
20 Min.
|
15
|
0.42
|
0.71
|
0.21
|
2 Min.
|
4.8
|
10
|
48
|
15
|
0.69
|
0.58
|
0.35
|
4. CONCLUSIONS
The objective of SLWS, introduced as the positive lightning protection system in 2011,
is to trigger warnings before the first cloud-ground strikes around the NMSC with
one second lead time. To date, the warning performance of the system has been analyzed
by adopting various approaches to raise the performance for eight years(1,2,3,4,5). In this study, to increase in CSI as the balance between POD and FAR, a combinational
logic AND of IC and EF was added with thirty five minute DT for IC, fifteen minute
DT for EF, +1.0 ∼ -1.5 kV/m EF threshold, and one area warning method over two summers
in 2018, and 2019. The best CSI as the average value in past two years was 0.63, which
was resulted from decrease in FAR to 0.22. The index value was better than those of
my past studies, and other conditions including other literatures, such as Murphy,
and Said (2016). Whereas POD was somewhat became worse to 0.76 than 0.82 of IC alone,
and 0.85 of IC OR CG. Taking into account the EF threshold, which was the only difference
of warning conditions between test tiers, using the +0.5 ∼ -1.0 kV/m was better than
+1.0 ∼ -1.5 for improvement of POD, FAR, and CSI. As the shortest and best TAD of
ninety three minutes among the assessed warning conditions, containing LT, WT and
DT, occurred at CG alone. However, considering the performance, 0.37 of POD, 0.45
of FAR, and 0.27 of CSI, it is inefficient for a warning condition. The longest 224
minutes in TAD with IC AND EF, was the worst case. But there were very little difference
in the durations of the top three CSI and POD conditions, IC only, and IC OR CG. The
results suggest that adopting the IC AND EF condition is considerable to augment CSI
except for TAD, at least in summer thunderstorms at this study area, Jin-cheon, Korea.
In case of the NMSC, since the cost of FTW is greater than FA, high POD is more important
than other performance to protect the critical facility of satellite ground station.
Therefore, the IC OR CG definition would not be superseded by IC AND EF.
References
Shim H. S., 2019, Warnings of cloud-to-ground strikes (CG) based on the logical combinations
of intra-cloud discharges (IC) and CG data, paper presented at 2019 Spring Conference,
The Korean Institute of Illuminating and Electrical Installation Engineers (KIIEE),
Pyungchang, Kangwon, Republic of Korea, pp. 14
Shim H. S., 2018, Performance of a stand-alone lightning warning system without atmospheric
electric field data, paper presented at 25rd International Lightning Detection Conference,
Vaisala Inc., Fort Lauderdale, FL, U.S.
Shim H. S., 2017, Warning conditions for an improvement of performance on a stand-alone
lightning warning system, Journal of The Korean Institute of Illuminating and Electrical
Installation Engineers (KIIEE), Vol. 31, No. 11, pp. 114-118
Shim H. S., Lee B. H., 2015, A proposal on the development method of a new lightning
warning system for effective alerts, Journal of KIIEE, Vol. 29, No. 12, pp. 68-76
Shim H. S., Lee B. H., 2013, Construction and operation characteristics of the automated
lightning warning system based on detections of cloud-to-ground discharge and atmospheric
electric field, Journal of KIIEE, Vol. 27, No. 11, pp. 58-64
Murphy. Martin J., Said Ryan K., 2016, Preliminary analysis of lightning warnings
in and near the Rocky Mountains using U.S. national lightning detection network and
electric field mill data, paper presented at 24rd International Lightning Detection
Conference, Vaisala Inc., San Diego, CA, U.S.
Holle R. L., Demetriadws. Nicholas W.S., Amitabh Nag , 2016, Objective airport warnings
over small arease using NLDN cloud and cloud-to-ground lightning Data, American Meteorological
Society, Vol. 31, pp. 1061-1069
Stéphane Schmitt, Alain Rousseau, 2016, Thunderstorm warning systems : IEC 62793 standard,
Proc. of the International Conference on Lightning Protection (ICLP), Estorol, Portugal
Holle R. L., Demetriadws. Nicholas W.S., Amitabh Nag , 2014, Lightning warnings with
NLDN cloud and cloud-to-ground lightning data, Proc. of the International Conference
on Lightning Protection (ICLP), Shanghai, China, pp. 315-323
Biography
He received M.Sc. degree in electrical engineering from Seoul National university
of Science & Technology in 2009. His research interests are focused on transient over-voltages,
and lightning warnings.