M. G. Nicora, E. Quel, J. L. Bali, Alejandro A. Acquesta, Luciano Vidal, Rodrigo E. Burgesser, E. Ávila, P. Salio, Maria Luisa Altinger de Schwarzkopf
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引用次数: 1
Abstract
This work presents a lightning jump algorithm (LJA): “GeoRayos” to detect severe weather; it is based on the algorithm presented by Schultz et al. (2011) [1]. The lightning data used in this study came from the World Wide Lightning Location Network which is a real-time, world-wide and ground network. In this study, the lightning activity occurred during spring and summer of 2013 on the region [20-50]S of latitude and [50“70]W of longitude was examined. The LJA was validated by using information of severe weather occurrence in the report “Estudio de los Tornados en la Rep. Argentina” this unpublished report (M. L. Altinger de Schwarzkopf, personal communication) provides severe phenomena occurred since 1930 to the present, also we used information from the National Weather Service in Argentina, local argentinean media, and radar data. The spatial and time distributions of lightning jumps were analyzed by using different spatial and temporal scales.
本文提出了一种闪电跳跃算法(LJA):“GeoRayos”来检测恶劣天气;它基于Schultz et al.(2011)[1]提出的算法。本研究中使用的闪电数据来自全球闪电定位网络，这是一个实时的、全球性的地面网络。本研究考察了2013年春夏在纬度[20-50]S和经度[50”70]W地区发生的闪电活动。LJA通过使用“Estudio de los Tornados en la rep Argentina”报告中的恶劣天气信息进行验证。这份未发表的报告(M. L. Altinger de Schwarzkopf，个人通讯)提供了自1930年至今发生的恶劣现象，我们还使用了阿根廷国家气象局、阿根廷当地媒体和雷达数据的信息。采用不同的时空尺度分析了闪电跃变的时空分布。
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