基于小波技術(shù)的地面大氣電場數(shù)據(jù)處理

doi:10.3969/2012jms.0019

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基于小波技術(shù)的地面大氣電場數(shù)據(jù)處理
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                        10.3969/2012jms.0019
                    
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基金項目:科技部公益性行業(yè)(氣象)科研專項(GYHY200806014)

Using wavelet analysis to process the data of ground atmospheric electric field

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使用安裝在南京信息工程大學(xué)實驗場的法國電場儀AMEO340于2009年觀測試驗期間的觀測資料,將大氣電場儀采樣序列數(shù)據(jù)經(jīng)快速傅里葉變換,得到序列的功率譜。對晴天和伴有閃電天氣的地面大氣電場數(shù)據(jù)進行了小波函數(shù)為sym5的7層分解,大大降低了地面大氣電場數(shù)據(jù)波形的重疊度。通過對伴有閃電天氣的地面大氣電場數(shù)據(jù)進行小波7層分解,地面大氣電場信號的低頻部分不僅突出顯示了地面大氣電場值的主要變化趨勢,而且能清晰的分辨出閃電過程中較強的正負(fù)地閃次數(shù)。為利用地面大氣電場強度值的變化特征進行閃電預(yù)警提供了更有效的信息。

Abstract:

Using ground atmospheric field data during 2009 for a year which is recorded by the AMEO340 installed in Nanjing University of Information Science & Technology, we calculated the ground atmospheric electric field sampling squence data by fast Fourier transform in order to get the power spectrum of ground atmospheric electric field sequence. The ground atmospheric electric field data from sunny and lightning days were analyzed with wavelet function for the sym5's seven-layer decomposition in this paper. The overlap between the waveform of ground atmospheric electric field signals was greatly reduced by this method. The lightning data of ground atmospheric electric field signals were decomposed by seven-layer. It was found that the low-frequency component of the ground atmospheric electric field signals during lightning clearly identified the number of strong positive and negative ground flashes. So it can supply more effective information for both its gradual upward trend and the lightning nowcasting by using the characteristics of the ground atmospheric electric field singnals.

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李艷,王振會,陳紅兵,徐文.基于小波技術(shù)的地面大氣電場數(shù)據(jù)處理.氣象科學(xué),2012,32(2):177-181 LI Yan, WANG Zhenhui, CHEN Hongbing, XU Wen. Using wavelet analysis to process the data of ground atmospheric electric field. Journal of the Meteorological Sciences,2012,32(2):177-181

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收稿日期:2010-11-27
最后修改日期:2011-01-09
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在線發(fā)布日期: 2012-05-03
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