A source location algorithm of lightning detection networks in China

Hu, Zhixiang; Zhao, Wei; Zhu, Hongping

doi:10.5194/angeo-28-1981-2010

Cited by 8 publications

(4 citation statements)

References 21 publications

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“…It can be seen that within the network, within an average distance of 1000 km from a station, as the distance increases, both the median and upper limit of the overall distribution of deviations increase. The overall deviation is within 1 km, similar to Liu et al's result [35]. The deviation has a large change at the distance of the 1100 km group, but it decreases in the 1400 and 1500 km groups.…”

Section: Position Deviationsupporting

confidence: 88%

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Preliminary Application of Long-Range Lightning Location Network with Equivalent Propagation Velocity in China

Dai

Zhou

et al. 2022

Remote Sensing

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The equivalent propagation method adopts a variable propagation velocity in lightning location, minimizing the location error caused by various factors in the long-range lightning location network. To verify the feasibility of this method, we establish a long-range lightning location network in China. A new method is used to extract the ground wave peak points of the lightning sferics and is combined with the equivalent propagation velocity method for lightning location. By comparing with the lightning data detected by the lightning locating system called advanced direction and time-of-arrival detecting (ADTD) that has been widely used for tens of years in China, the feasibility of this method is initially verified. Additionally, it is found that the relative detection efficiency of our long-range lightning location network can reach 53%, the average location error is 9.17 km, and the detection range can reach more than 3000 km. The equivalent propagation method can improve the average location accuracy by ~1.16 km, compared with the assumed light speed of lightning-radiated sferic from the lightning stroke point to the observation station. The 50th percentile of the equal propagation velocity is 0.998c, which may be used in the long-range lightning location networks.

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Section: Position Deviationsupporting

confidence: 88%

“…In addition, some other factors also affect the lightning location accuracy. The lightning sferic propagates along the ellipsoidal surface of the Earth, and the use of plane or spherical assumptions also bring certain errors [34,35]. Part of the severely distorted data added to the location also cause deviation of the location result.…”

Section: Introductionmentioning

confidence: 99%

Preliminary Application of Long-Range Lightning Location Network with Equivalent Propagation Velocity in China

Dai

Zhou

et al. 2022

Remote Sensing

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“…The HNMS‐PLN retrieves the stroke location based on the of Time‐Of‐Arrival (TOA) method [ Lee , 1986; Koshak and Solakiewicz , 2001; Hu et al , 2010], fact that enhances the independence from high‐voltage power lines, power plants, street lights and similar electrical interferences. Similar to the geographical location retrieval method, the CG peak current is also extracted from a mathematical model (“Transmission Line”).…”

Section: The Hellenic National Meteorological Service Lightning Precimentioning

confidence: 99%

Preliminary lightning observations over Greece

Chronis

2012

J. Geophys. Res.

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.[1] The first Precision Lightning Network, monitoring the Cloud-to-Ground (CG) lightning stroke activity over Greece and surrounding waters is operated and maintained by the Hellenic National Meteorological Service. This paper studies the regional (land/water interface), seasonal and diurnal variability of the CG strokes as a function of density, polarity and peak current. Additional investigation uniquely links the CG stroke current to sea surface salinity and cloud electrical capacitance. In brief, this study's major findings area as follows: (1) The seasonal maps of thunder days agree well with the regional climatic convective characteristics of the study area, (2) the CG diurnal variability is consistent with the global lightning activity observations over land and ocean, (3) the maxima of monthly averaged CG counts are located over land and water during typical summer and fall months respectively for both polarities, (4) CG peak currents show a distinct seasonality with larger currents during relatively colder months and smaller currents during summer months, and (5) strong linear trends between ÀCGs and sea surface salinity; (6) this trend is absent for +CGs data analysis of the employed database relate to the thunderstorm's RC constant and agrees with previous numerical modeling studies. Let us now examine lightning and thunder, and then the whirlwinds, firewinds and thunderbolts; for the cause of all them must be assumed to be the same. As we have said, there are two kinds of exhalation, moist and dry; and their combination (air) contains both potentially. It condenses into cloud, as we have explained before, and the condensation of clouds is thicker their farther limit. Heat when radiated disperses into the upper region. But any of the dry exhalation that gets trapped when the air is in the process of cooling is forcibly ejected as the clouds condense and in its course strikes the surrounding clouds, and the noise caused by the impact is what we call thunder.(Aristotle, Meteorologika, Book III [Webster, 1923]).

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“…One of the current actual problems is monitoring of cloud-to-ground lightning discharges (Hu, Zhao, & Zhu, 2010;Koshak & Solakievicz, 2001;Kuterin, Bulatov, & Shlyugaev, 2014;Ramachandran, Kumar, & Kishore, 2003;Shpadi, Inchin, Lozbin, & Ayazbayev, 2019). To solve it, the technology of deploying a network of stations registering a low-frequency radio wave coming from lightning discharges, is often used.…”

Section: The Problem Of Lightning Discharge Coordinates and Time Findingmentioning

confidence: 99%

About Resolvability of the Problem of Lightning Coordinates Finding by the Time of Lightning Discharge Arrival

Shpadi¹,

Inchin²,

Lozbin³

et al. 2021

GEP

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On the unit sphere, the geometric problem of calculating the position of a point relative to three given points is considered. We know the length of three spherical segments that go out from the given points in the direction of the unknown point. The requirement must be fulfilled: the distance from each point to an unknown point must be equal to the sum of the length of the segment outgoing from this point, and some increment, the same for all three segments. In the article, the conditions for the solvability of a geometric problem are established by the methods of spherical trigonometry and vector algebra. It is proved that when they are fulfilled, the problem is always solvable. The number of solutions is two, except in rare cases where there is only one solution. A solution method is presented. One of the practical applications is the problem of determining the time and location of a cloud-to-ground lightning discharge, which is directly reduced to this problem.

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A source location algorithm of lightning detection networks in China

Cited by 8 publications

References 21 publications

Preliminary Application of Long-Range Lightning Location Network with Equivalent Propagation Velocity in China

Preliminary Application of Long-Range Lightning Location Network with Equivalent Propagation Velocity in China

Preliminary lightning observations over Greece

About Resolvability of the Problem of Lightning Coordinates Finding by the Time of Lightning Discharge Arrival

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