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Lightning Mapping Array flash detection performance with variable receiver thresholds

机译:具有可变接收器阈值的闪电映射阵列闪光检测性能

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摘要

This study characterizes Lightning Mapping Array performance for networks that participated in the Deep Convective Clouds and Chemistry field program using new Monte Carlo and curvature matrix model simulations. These open‐source simulation tools are readily adapted to real‐time operations or detailed studies of performance. Each simulation accounted for receiver threshold and location, as well as a reference distribution of source powers and flash sizes based on thunderstorm observations and the mechanics of station triggering. Source and flash detection efficiency were combined with solution bias and variability to predict flash area distortion at long ranges. Location errors and detection efficiency were highly dependent on the station configuration and thresholds, especially at longer ranges, such that performance varied more than expected across different networks and with azimuth within networks. Error characteristics matched prior studies, which led to an increase in flash distortion with range. Predicted flash detection efficiency exceeded 95% within 100 km of all networks.
机译:这项研究使用新的蒙特卡洛和曲率矩阵模型仿真来表征参与深对流云和化学领域计划的网络的闪电映射阵列性能。这些开源的仿真工具很容易适应实时操作或性能的详细研究。每次模拟都考虑了接收器的阈值和位置,以及基于雷暴观测和台站触发机制的源功率和闪光大小的参考分布。源和闪光检测效率与溶液偏差和变异性相结合,可预测远距离的闪光区域失真。位置错误和检测效率高度依赖于站的配置和阈值,尤其是在更长的范围内,因此在不同网络之间以及网络内的方位角上,性能变化都超出了预期。误差特性与先前的研究相吻合,导致闪光失真随距离增加。在所有网络的100公里之内,预计的闪光检测效率超过95%。

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