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

被引:0
|
作者
S. O. Dementyeva
N. V. Ilin
E. A. Mareev
机构
[1] Russian Academy of Sciences,Institute of Applied Physics
[2] Nizhni Novgorod State University,undefined
关键词
numerical models; weather forecasting; atmospheric electricity; lightning activity;
D O I
暂无
中图分类号
学科分类号
摘要
Modern methods for predicting thunderstorms and lightnings with the use of high-resolution numerical models are considered. An analysis of the Lightning Potential Index (LPI) is performed for various microphysics parameterizations with the use of the Weather Research and Forecasting (WRF) model. The maximum index values are shown to depend significantly on the type of parameterization. This makes it impossible to specify a single threshold LPI for various parameterizations as a criterion for the occurrence of lightning flashes. The topographic LPI maps underestimate the sizes of regions of likely thunderstorm-hazard events. Calculating the electric field under the assumption that ice and graupel are the main charge carriers is considered a new algorithm of lightning prediction. The model shows that the potential difference (between the ground and cloud layer at a given altitude) sufficient to generate a discharge is retained in a larger region than is predicted by the LPI. The main features of the spatial distribution of the electric field and potential agree with observed data.
引用
收藏
页码:186 / 192
页数:6
相关论文
共 50 条
  • [1] Calculation of the Lightning Potential Index and electric field in numerical weather prediction models
    Dementyeva, S. O.
    Ilin, N. V.
    Mareev, E. A.
    IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS, 2015, 51 (02) : 186 - 192
  • [2] Potential Impacts of Lightning Flash Observations on Numerical Weather Prediction With Explicit Lightning Processes
    Honda, Takumi
    Sato, Yousuke
    Miyoshi, Takemasa
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2021, 126 (19)
  • [3] Numerical study of performance of two lightning prediction methods based on: Lightning Potential Index (LPI) and electric POTential difference (POT) over Tehran area
    Gharaylou, Maryam
    Farahani, Majid M.
    Hosseini, Morteza
    Mahmoudian, Alireza
    JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2019, 193
  • [4] A Simulated Radar Reflectivity Calculation Method in Numerical Weather Prediction Models
    Chen, Yuxiao
    Chen, Jing
    Chen, Dehui
    Xu, Zhizhen
    Sheng, Jie
    Chen, Fajing
    WEATHER AND FORECASTING, 2021, 36 (01) : 341 - 359
  • [5] Lightning forecasting in Bangladesh based on the lightning potential index and the electric potential
    Rabbani, Khan Md Golam R.
    Islam, Md Jafrul
    Fierro, Alexandre O.
    Mansell, Edward R.
    Paul, Pappu
    ATMOSPHERIC RESEARCH, 2022, 267
  • [6] Numerical Calculation of Electric Field and Potential Distribution for HVDC Insulator
    Yan Xiuke
    Li Yanbing
    Yu Cunzhan
    Wang Jiaxun
    Liu Liyang
    2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2012,
  • [7] Objective calibration of numerical weather prediction models
    Voudouri, A.
    Khain, P.
    Carmona, I.
    Bellprat, O.
    Grazzini, F.
    Avgoustoglou, E.
    Bettems, J. M.
    Kaufmann, P.
    ATMOSPHERIC RESEARCH, 2017, 190 : 128 - 140
  • [8] Evaluation of the Accuracy of Numerical Weather Prediction Models
    Saur, David
    ARTIFICIAL INTELLIGENCE PERSPECTIVES AND APPLICATIONS (CSOC2015), 2015, 347 : 181 - 191
  • [9] Diagnostic Study of the Lightning Potential Index and Electric Field in Two Thunderstorm Cases over Bangladesh
    Paul, Pappu
    Imran, Ashik
    Mallik, Muhammad Abul Kalam
    Syed, Ishtiaque M.
    ATMOSPHERIC AND OCEANIC OPTICS, 2022, 35 (05) : 524 - 540
  • [10] Diagnostic Study of the Lightning Potential Index and Electric Field in Two Thunderstorm Cases over Bangladesh
    Ashik Pappu Paul
    Muhammad Abul Kalam Imran
    Ishtiaque M. Mallik
    Atmospheric and Oceanic Optics, 2022, 35 : 524 - 540