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
  • [21] On correctness of the vertical discretization in numerical weather prediction models
    Bourchtein, A
    Bourchtein, L
    Naumov, M
    APPLIED MATHEMATICS AND COMPUTATION, 2004, 158 (02) : 513 - 527
  • [22] Using numerical weather prediction to assess climate models
    Rodwell, M. J.
    Palmer, T. N.
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2007, 133 (622) : 129 - 146
  • [23] AN INITIALIZATION FOR CUMULUS CONVECTION IN NUMERICAL WEATHER PREDICTION MODELS
    DONNER, LJ
    MONTHLY WEATHER REVIEW, 1988, 116 (02) : 377 - 385
  • [24] Enhancement of Electric Field Sensitivity in Graphene for Early Lightning Prediction
    Afsal, Kareekunnan
    Agari, Tatsufumi
    Kudo, Takeshi
    Maruyama, Takeshi
    Mizuta, Hiroshi
    Muruganathan, Manoharan
    2021 SILICON NANOELECTRONICS WORKSHOP (SNW), 2021, : 75 - 76
  • [25] USE OF MAGNUS FORMULA IN NUMERICAL WEATHER PREDICTION MODELS
    AHRENS, W
    ZEITSCHRIFT FUR METEOROLOGIE, 1977, 27 (03): : 156 - 161
  • [26] Using Numerical Weather Prediction Models for Climate Modeling
    Tolstykh, M. A.
    IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS, 2024, 60 (SUPPL1) : S139 - S143
  • [27] Review of numerical methods for nonhydrostatic weather prediction models
    Steppeler, J
    Hess, R
    Schättler, U
    Bonaventura, L
    METEOROLOGY AND ATMOSPHERIC PHYSICS, 2003, 82 (1-4) : 287 - 301
  • [28] Electricity demand forecasting over Italy: Potential benefits using numerical weather prediction models
    De Felice, Matteo
    Alessandri, Andrea
    Ruti, Paolo M.
    ELECTRIC POWER SYSTEMS RESEARCH, 2013, 104 : 71 - 79
  • [29] Impact of Numerical Weather Models on Gravity Field Analysis
    Karbon, Maria
    Boehm, Johannes
    Fagiolini, Elisa
    Flechtner, Frank
    Schuh, Harald
    IAG 150 YEARS, 2016, 143 : 355 - 365
  • [30] Evaluation of NCMRWF numerical weather prediction models for SHAR region
    Rajan, D.
    Prasad, V. S.
    ADVANCES IN SPACE RESEARCH, 2023, 71 (10) : 3981 - 3994