| Literature DB >> 35860624 |
Dongshuai Li1, Alejandro Luque1, F J Gordillo-Vázquez1, Caitano da Silva2, Paul R Krehbiel2, Farhad Rachidi3, Marcos Rubinstein4.
Abstract
The physical mechanism of Narrow bipolar events (NBEs) has been studied for decades but it still holds many mysteries. Recent observations indicate that the fast breakdown discharges that produce NBEs sometimes contain a secondary fast breakdown that propagates back in the opposite direction but this has not been fully addressed so far in electromagnetic models. In this study, we investigate fast breakdown using different approaches that employ a Modified Transmission Line with Exponential decay (MTLE) model and propose a new model, named "rebounding MTLE model," which reproduces the secondary fast breakdown current in NBEs. The model provides new insights into the physics of the fast breakdown mechanism.Entities:
Keywords: fast breakdown (FB); lightning; narrow bipolar event (NBE)
Year: 2022 PMID: 35860624 PMCID: PMC9285782 DOI: 10.1029/2021GL097452
Source DB: PubMed Journal: Geophys Res Lett ISSN: 0094-8276 Impact factor: 5.576
Figure 1The rebounding MTLE model of streamer‐based NBEs, (I)–(III) are different growth stages of the streamer corona system of NBEs. We model the NBE discharge channel as a system of positive streamer coronas that propagate downward from an altitude H 2 to H 1 with a channel length L, followed by upward negative streamer corona discharges that propagate back along the same path. Here, I is the downward current and I is the rebounding‐wave current.
The Parameters of the NBE‐Producing Current Used in the Simulation for Cases NBE1 and NBE3 Reported by Rison et al. (2016)
| ID | Method | Parameters adopted in Rison et al. ( | |||||||||
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| NBE1 | Uman's eq/Shao's eq with MTLE model | −55.2 | 0.8 | 6.0 | 900 | 5.5 | 6,000a | 455 | 3.5 × 107 | ||
| NBE3 | Uman's eq/Shao's eq with MTLE model | −63.4 | 0.3 | 2.3 | 900 | 3.3 | 6,600 | 560 | 3.5 × 107 | ||
| ID | Method | Simulation‐determined parameters | Interferometer‐determined parameters | ||||||||
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| NBE1 | Uman's eq with rebounding MTLE model | −30.5 | 0.8 | 7.0 | 374.9 | 857.6 | 5.5 | 6,700 | 720 | 12 | 13 |
| NBE3 | Uman's eq with rebounding MTLE model | −61.7 | 0.3 | 3.4 | 378.7 | 113.7 | 3.3 | 6,600 | 412 | 11 | 6 |
Note. Three different models were used in simulation: Uman's equation (Uman et al., 1975) with the MTLE model, Shao's equation (Shao et al., 2004, 2005) with the MTLE model, and Uman's equation with the rebounding MTLE model.
The altitude H 2 is derived from the LMA data, see Rison et al. (2016) for details.
The current amplitude I , rise and fall time constants (τ 1, τ 2), as well as the downward and upward exponential attenuation rates (λ , λ ) are best‐fit parameters defining I (z, t) to the sferic waveforms of NBE1 and NBE3.
The observation distance ρ, altitude H 2, length L, the downward and upward propagation times (t , t ) are determined by the interferometer data in Rison et al. (2016) (see Figure 2).
Figure 2The current distribution of rebounding MTLE model for NBE1 and NBE3 along with the interferometer data observed by Rison et al. (2016). NBE1 and NBE3: (a), (d) downward current I (positive streamer propagates downward), (b), (e) upward rebounding current I (negative streamer propagates upward) and (c), (f) total current I . Note that the time of interferometer data here has been corrected to the source time. The detailed interferometer data can be found in Rison et al. (2016).
Figure 3Comparison between simulation and measurement corresponding to the case NBE1 (a, c, e) and NBE3 (b, d, f) in Rison et al. (2016). (a), (b) Different approaches: Uman's equation (Uman et al., 1975) and full‐wave FDTD method with the MTLE model, Uman's equation and full‐wave FDTD method with the rebounding MTLE model, and Shao's equation with the MTLE model. The electrostatic, induction and radiation components of the total electric field calculated by using Uman's equation with the MTLE model (c), (d) and the rebounding MTLE model (e), (f).