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Journal of Electrostatics
Article . 2004 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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On the estimation of lightning peak currents from measured fields using lightning location systems

Authors: Power Systems Laboratory, Swiss Federal Institute of Technology, EPFL-LRE, Lausanne, Switzerland ( host institution ); Rachidi, F. ( author ); Bermudez, J.L. ( author ); Rubinstein, M. ( author ); Rakov, V.A. ( author );

On the estimation of lightning peak currents from measured fields using lightning location systems

Abstract

Although, due to the high variability of key parameters such as the return-stroke speed, it is impossible to determine the lightning current accurately from the remotely measured electric or magnetic field for a given event, we show in this paper that, for an assumed return-stroke model, the statistical estimation (e.g. in terms of mean values and standard deviations) is possible. We show additionally that for the transmission line (TL) model, the equation permitting to infer the mean value of the return-stroke current from the mean value of electric or magnetic field and the mean value of speed has the same functional form as the well-known TL current - far field relationship. This result gives to some extent a theoretical justification to the use of lightning location systems to infer parameters of lightning current statistical distributions from measured fields alone

Country
United States
Keywords

Remote field measurements, Lightning current, Statistical evaluation

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    56
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    Top 10%
    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
56
Top 10%
Top 10%
Average
Green
bronze