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Open AccessArticle

Inversion of a Thunderstorm Cloud Charging Model Based on a 3D Atmospheric Electric Field

Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, China
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Appl. Sci. 2018, 8(12), 2642; https://doi.org/10.3390/app8122642
Received: 30 October 2018 / Revised: 6 December 2018 / Accepted: 12 December 2018 / Published: 16 December 2018
(This article belongs to the Section Mechanical Engineering)
The measurement of the atmospheric electric field is of great significance for the study of thunderstorm cloud charge models. Traditional electric field meters can only measure the vertical component of the atmospheric electric field, and thus it is difficult to invert the structure of the thunderstorm cloud. A three-dimensional atmospheric electric field meter was developed to simultaneously measure the horizontal and vertical components of the atmospheric electric field in this paper. The effective measurement linearly relates the measured electric field to the induced voltage, and the nonlinear equations of the three-dimensional atmospheric electric field and the thunderstorm cloud-charging model parameters were derived. The particle swarm optimization algorithm (PSO) and the three-dimensional atmospheric electric field were used to invert the thunderstorm clouds. Experimental observations of the three-dimensional electric field in a cloud during a thunderstorm were analyzed. Combined with the typical charged structure model, parameters such as the charge and relative distance of the thunderstorm cloud were determined. The results showed that the value of the inversion fitness function reached 0.7288, and the charge structure was even. The measurement of the three-dimensional atmospheric electric field provides a new means of observation for the study of atmospheric electricity. View Full-Text
Keywords: three-dimensional atmospheric electric field; charged structure; particle swarm optimization algorithm; dipole three-dimensional atmospheric electric field; charged structure; particle swarm optimization algorithm; dipole
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Xu, W.; Zhang, C.; Ji, X.; Xing, H. Inversion of a Thunderstorm Cloud Charging Model Based on a 3D Atmospheric Electric Field. Appl. Sci. 2018, 8, 2642.

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