关键词:
闪电定位系统;人工观测;雷暴日数;雷电日;二元法
摘 要:
针对北京地区首次开展闪电定位系统(Lightning Location System,LLS)数据与人工观测雷暴日的关系研究,解决北京地区人工观测雷暴日停止后雷暴日数据无法获取的问题.选取北京地区2008-2011年LLS监测数据,以20个人工观测站为圆心,1 km为间距,统计各站周围半径(r)1~20 km圆形区域内LLS监测的闪电次数及雷电日数.采用直接替代法、地闪密度法和二元法计算雷电日,分别从全市年平均雷电日及各站年平均雷电日2个方面与人工观测雷暴日数进行比较,寻求最适合北京地区的LLS资料转换为雷暴日数方法,建立转换关系.结果表明:当r=13 km时,LLS监测年平均雷电日数与人工观测年平均雷暴日数最为接近.在直接替代法、地闪密度法和二元法计算所得的结果中,二元法效果最好,直接替代法次之,地闪密度法效果最差.对于单个观测站,各站周围的地闪密度与人工观测雷暴日数没有统一的函数关系,采用直接替代法得到的各站等效观测半径来确定各站的雷暴日数较为准确.该结果表明了北京地区LLS数据与人工观测雷暴日之间的关系,使雷暴日可作为基础数据继续应用于北京地区的雷电防护和研究中.
作 者:
Huo Peidong;Ma Haipeng;Li Jingxiao;Li Rujian;Piao Wen;Beijing Meteorological Bureau;
单 位:
Huo Peidong%Ma Haipeng%Li Jingxiao%Li Rujian%Piao Wen%Beijing Meteorological Bureau
关键词:
lightning location system;;artificial observation;;the number of thunderstorm days;;lightning day;;the binary method
摘 要:
To solve the problem that the number of thunderstorm days cannot be obtained after the artificialobservation stopped in Beijing, the relationship between the data of lightning location system(LLS) and theartificial observation thunderstorm days in Beijing is studied. The LLS monitoring data around 20 artificialobservation stations in Beijing from 2008 to 2011 were selected in this study. Taking each station as the center,1 km for the distance, the numbers of lightning and lightning days were calculated from the LLS monitoring dataaround each station with the radius(r) from 1 to 20 km. To find the optimal method for converting LLS data intothe thunderstorm days, the lightning days were calculated by three methods and compared with the numbers ofartificial observation thunderstorm days from two aspects, respectively. The three calculation methods were thedirect substitution method, the ground flash density method and the binary method. The two comparisonaspects were the annual mean lightning days of 20 stations and the annual mean lightning days of each station.The results showed that the number of the annual mean lightning days in LLS monitoring with r=13 km was theclosest to the number of the annual mean thunderstorm days. For the results obtained by the three methods, thebinary method was the best, followed by the direct substitution method, and the ground flash density methodwas the worst. For the single observation station, there was no unified function relationship between the ground flash density around each station and the number of artificial observation thunderstorm days. However, thenumber of thunderstorm days for each station was accurately determined by using the equivalent observationradius for each station from the direct substitution method. The results show the relationship between the LLSdata and the days of artificial observation thunderstorm in Beijing, which enables the thunderstorm days to becontinually used as the basic data in the lightning protection and research in Beijing area.