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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Global electric circuit implications of combined aircraft storm electric current measurements and satellite-based diurnal lightning statistics
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Global electric circuit implications of combined aircraft storm electric current measurements and satellite-based diurnal lightning statistics

机译:飞机暴风雨电流测量和基于卫星的昼夜闪电统计数据对全球电路的影响

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We have combined analyses of high-altitude aircraft observations of electrified clouds with diurnal lightning statistics from the Lightning Imaging Sensor (LIS) and Optical Transient Detector (OTD) that are carried aboard low-Earth-orbiting satellites to reproduce the diurnal variation in the global electric circuit. Using basic assumptions about the mean storm currents as a function of flash rate and location (i.e., land or ocean) and the global electric circuit, our estimate of the current in the global electric circuit matches the Carnegie curve diurnal variation to within 4% for all but two short periods of time, in which the difference was 11% in one time period (0430 UTC) and 6% in the second period (1830 UTC). This excellent agreement with the Carnegie curve was obtained without any tuning or adjustment of the satellite or aircraft data. We assume that (1) the mean values for current and flash rates in the aircraft storm overflight data set (1.7 A and 0.8 flashes min~(-1) for oceanic thunderstorms, 1.0 A and 2.2 flashes min~(-1) for land thunderstorms, 0.41 A for oceanic electrified shower clouds (i.e., electrified but no lightning detected), and 0.13 A for land electrified shower clouds) and (2) the diurnal variations in lightning rates over land and ocean found in the satellite data set are universally applicable. Mean contributions to the global electric circuit from land and ocean thunderstorms are 1.1 kA (land) and 0.7 kA (ocean). Contributions to the global electric circuit from electrified shower clouds are 0.22 kA for ocean storms and 0.04 kA for land storms. The mean total conduction current for the global electric circuit is 2.0 kA. The means that for the number of storms contributing to the global electric circuit, 1100 are land storms with lightning, 530 are ocean storms without lightning, 390 are ocean storms with lightning, and 330 are land storms without lightning. A closer fit to the Carnegie curve is possible if the contributions from electrified shower clouds are increased by a factor of 3 or 4.
机译:我们将高空飞机对电气化云层的观测分析与来自低地球轨道卫星的闪电成像传感器(LIS)和光学瞬态检测器(OTD)的每日闪电统计数据相结合,以重现全球的日变化电路。使用关于平均风暴电流作为闪速和位置(即陆地或海洋)和全球电路的函数的基本假设,我们对全球电路中电流的估计与卡内基曲线的日变化相匹配,在4%以内除了两个短时间段以外的所有时间段,其中一个时间段(0430 UTC)的差异为11%,第二个时间段(1830 UTC)的差异为6%。无需对卫星或飞机数据进行任何调整或调整即可获得与卡内基曲线的极佳一致性。我们假设(1)飞机风暴飞越数据集中的电流和闪光率平均值(海洋雷暴为1.70 A和0.8闪烁min〜(-1),陆地为1.0 A和2.2闪烁min〜(-1)雷暴,海洋带电的阵雨云为0.41 A(即已带电但未检测到雷电)和陆地带电的阵雨云为0.13 A)和(2)卫星数据集中发现的陆地和海洋雷电率的日变化普遍适用。陆地和海洋雷暴对全球电路的平均贡献为1.1 kA(陆地)和0.7 kA(海洋)。电气化的阵雨云对全球电路的贡献为:海洋风暴为0.22 kA,陆地风暴为0.04 kA。总体电路的平均总传导电流为2.0 kA。这意味着,对于影响全球电路的风暴数量,1100是带闪电的陆地风暴,530是没有闪电的海洋风暴,390是有闪电的海洋风暴,330是没有闪电的陆地风暴。如果带电淋浴云的贡献增加3或4倍,则可能更接近卡内基曲线。

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