CAJ | 학술논문

为了解决大气电场数据预报雷暴虚警率高的问题，将集成经验模态分解（ EEMD）方法和二阶差分法结合应用于大气电场资料的分析，提出了一种雷电预警分析方法。该方法先用EEMD分解出晴天天气和雷暴天气大气电场的不同时间尺度变化分量，然后对包含雷电信号的高频模态分量IMF1（本征模态函数）进行二阶差分分析。晴天无雷暴发生时，地面大气电场的差分值集中在－0．5～0．5 kV／m3之间；雷暴过程中，差分大气电场出现剧烈变化，雷暴发生前，IMF1二阶差分量的增幅会明显变大，所对应的电场频率在0．0165～0．0455 Hz之间跳跃。经过仿真试验，结合雷达回波资料进行验证，得到雷电探测概率（ probability of detection ，POD）为85．1％，预警平均时间为30．2 min。
위료해결대기전장수거예보뇌폭허경솔고적문제，장집성경험모태분해（ EEMD）방법화이계차분법결합응용우대기전장자료적분석，제출료일충뇌전예경분석방법。해방법선용EEMD분해출청천천기화뇌폭천기대기전장적불동시간척도변화분량，연후대포함뇌전신호적고빈모태분량IMF1（본정모태함수）진행이계차분분석。청천무뇌폭발생시，지면대기전장적차분치집중재－0．5～0．5 kV／m3지간；뇌폭과정중，차분대기전장출현극렬변화，뇌폭발생전，IMF1이계차분량적증폭회명현변대，소대응적전장빈솔재0．0165～0．0455 Hz지간도약。경과방진시험，결합뢰체회파자료진행험증，득도뇌전탐측개솔（ probability of detection ，POD）위85．1％，예경평균시간위30．2 min。
A lightning warning analysis method is presented , in which the Ensemble Empirical Mode Decompo-sition ( EEMD ) method are the second order finite difference method are applied to the analysis of atmospheric electric field data , in order to solving the high false alarm rate of the thunderstorm warning by using atmospheric electric field data .In this method , the variscaled components of the atmospheric electric field in fair weather and thunderstorm are decomposed and the high frequency of IMF 1( intrinsic mode function ) which contains the lightning signal is analyzed by the second order finite difference method .In fair weather , temporal difference electric data on the ground is concentrated on -0.5~0.5 kV/m3 .The temporal difference electric data in thunderstorm weather will increase significantly , before cloud-to-ground lighting occurring , the second order temporal difference electric data will increase sharply or the frequency of IMF 1 will jump between 0.016 5~0.045 5 Hz.According to the sim-ulation results combined with radar echo data for validation , the detection probability of warning is 85.1%and the average time of warning is 30.2 min.