Calculation of the Lightning Potential Index and electric field in numerical weather prediction models

Dementyeva, Svetlana O.; Ilin, N. V.; Mareev, E. A.

doi:10.1134/s0001433815010028

Cited by 22 publications

(10 citation statements)

References 30 publications

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“…In this paper the contribution of turbulence to storm electrification is investigated for inductive and noninductive charge separation. Such an analysis is important for understanding the main physical mechanisms playing a key role in storm (thunderstorm, dust storm, or blowing snow) electrodynamics and further incorporation of these mechanisms into numerical models of storm electrification, like the models developed in Mansell and Ziegler [2013], Dementyeva et al [2015], and Rasmussen et al [2009]. A comparison of the calculation results with the experimental data for thunderstorms, dust storms, and blizzards is carried out.…”

Section: Introductionmentioning

confidence: 99%

The role of turbulence in thunderstorm, snowstorm, and dust storm electrification

Mareev

Dementyeva

2017

JGR Atmospheres

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In this paper the contribution of turbulence into the electrification of thunderstorms, snowstorms, and dust storms is investigated for the first time. A model of large‐scale electric field generation in a weakly conducting medium, containing two types of particles charging by collisions, is used. Thunderstorm and snowstorm electrification are considered in detail in this paper; dust storm electrification is also considered, despite being substantially different from the two other cases, to demonstrate the universality of the proposed method. A comparison of the results with the experimental data for thunderstorms, blizzards, and dust storms is carried out. It is found that the situation is notably different for inductive and noninductive charge separations. For inductive charge separation there is a range of thunderstorm and snowstorm parameters (conductivity and the particle radii being the most important factors) for which the electric field grows exponentially with time. This effect can make the inductive mechanism dominant near the breakdown field in turbulent zones of thunderclouds. For noninductive (or triboelectric) charge separation caused by intense velocity fluctuations, the electric field strength grows only linearly with time. The most substantial effect of turbulence on noninductive charging is expected to occur in snowstorms and dust storms, whereas noninductive turbulent charging has a little impact on the thunderstorm electrification.

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Section: Introductionmentioning

confidence: 99%

The role of turbulence in thunderstorm, snowstorm, and dust storm electrification

Mareev

Dementyeva

2017

JGR Atmospheres

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“…Thus, to analyze a cloud at the mature stage, we consider a quasi-stationary mode with constant integral charge and mass of water particles. Dementyeva et al (2015) showed the applicability of this approximation for the analysis of thunderclouds and lightning activity.…”

Section: Assumptions On the Charge Distributionmentioning

confidence: 95%

“…Dementyeva et al. (2015) showed the applicability of this approximation for the analysis of thunderclouds and lightning activity.…”

Section: A Technique For Estimation Of the Electric Charge Structurementioning

confidence: 99%

“…During this period, the charge dissipation does not play a major role in the evolution of the electrical structure (McGorman & Rust, 1998, p. 33;Stolzenburg et al, 2015). (Dementyeva et al, 2015;Lynn & Yair, 2010;Xu et al, 2016). In the present study, the electrical structure of a cloud is estimated using numerical modeling of the state of the atmosphere and the results of groundbased measurements of the electric field.…”

Section: Introductionmentioning

confidence: 97%

“…Available data obtained by weather radars are insufficient to describe the distribution of cloud particles in the atmosphere (data on the maximum radar reflectivity are presented in Supporting Information). At the same time, numerical simulation of the state of the atmosphere, which has reached higher reliability due to its rapid development in the past two decades (Thorpe, 2013), is a valuable source of information on the cloud structure and has been successfully used in studies of atmospheric electricity phenomena (Dementyeva et al., 2015; Lynn & Yair, 2010; Xu et al., 2016). In the present study, the electrical structure of a cloud is estimated using numerical modeling of the state of the atmosphere and the results of ground‐based measurements of the electric field.…”

Section: Introductionmentioning

confidence: 99%

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Characteristic Features of the Clouds Producing Thunderstorm Ground Enhancements

et al. 2021

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Thunderstorm ground enhancements (TGEs) are fluxes of energetic particles multiplied in thunderclouds, which may be registered by ground‐based detectors. Using the Weather Research and Forecasting (WRF) Model, the state of the atmosphere with a 1‐km horizontal resolution is modeled for convective events accompanied by TGEs observed at the high altitude Aragats Research Station in Armenia (40.47 N, 44.18 E, 3,200 m above sea level). By comparing the data obtained in observations with the results of simulations using a microphysical parameterization for WRF, a technique is developed for estimating charge distribution parameters. A typical charge distribution in a TGE‐producing cloud is found to be well approximated by a two‐layered charge structure with a lower positive charge region formed by graupel particles and an upper negative charge region formed by snow particles. The characteristic charge density is 0.01 nC/m3 for the graupel cluster and −0.02 nC/m3 for the snow cluster. A vertical distance of about 1–2 km between the lower positive and upper negative layers is sufficient for the development of an energetic particle avalanche.

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Analysis of FY-4 Satellite Lightning Data Processing Based on MATLAB

Liu

Chen

Deng

et al. 2019

Advances in Intelligent Systems and Computing

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Calculation of the Lightning Potential Index and electric field in numerical weather prediction models

Cited by 22 publications

References 30 publications

The role of turbulence in thunderstorm, snowstorm, and dust storm electrification

The role of turbulence in thunderstorm, snowstorm, and dust storm electrification

Characteristic Features of the Clouds Producing Thunderstorm Ground Enhancements

Analysis of FY-4 Satellite Lightning Data Processing Based on MATLAB

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