Antunes de Sá A L, Marshall R, Deierling W
Smead Aerospace Engineering Sciences Department University of Colorado Boulder Boulder CO USA.
National Center for Atmospheric Research Boulder CO USA.
Earth Space Sci. 2021 Nov;8(11):e2021EA001856. doi: 10.1029/2021EA001856. Epub 2021 Nov 2.
A particular strength of lightning remote sensing is the variety of lightning types observed, each with a unique occurrence context and characteristically different emission. Distinct energetic intracloud (EIC) lightning discharges-compact intracloud lightning discharges (CIDs) and energetic intracloud pulses (EIPs)-produce intense RF radiation, suggesting large currents inside the cloud, and they also have different production mechanisms and occurrence contexts. A Low-Frequency (LF) lightning remote sensing instrument array was deployed during the RELAMPAGO field campaign in west central Argentina, designed to investigate convective storms that produce high-impact weather. LF data from the campaign can provide a valuable data set for researching the lightning context of EICs in a variety of subtropical convective storms. This paper describes the production of an LF-CID data set in RELAMPAGO and includes a preliminary analysis of CID prevalence. Geolocated lightning events and their corresponding observed waveforms from the RELAMPAGO LF data set are used in the classification of EICs. Height estimates based on skywave reflections are computed, where prefit residual data editing is used to improve robustness against outliers. Even if EIPs occurred within the network, given the low number of very high-peak current events and receiver saturation, automatic classification of EIPs may not be feasible using this data. The classification of CIDs, on the other hand, is straightforward and their properties, for both positive and negative polarity, are investigated. A few RELAMPAGO case studies are also presented, where high variability of CID prevalence in ordinary storms and high-altitude positive CIDs, possibly in overshooting tops, are observed.
闪电遥感的一个独特优势在于所观测到的闪电类型多样,每种类型都有其独特的发生背景和显著不同的辐射特征。不同的高能云内(EIC)闪电放电——致密云内闪电放电(CID)和高能云内脉冲(EIP)——会产生强烈的射频辐射,这表明云内存在大电流,而且它们还具有不同的产生机制和发生背景。在阿根廷中西部进行的RELAMPAGO野外考察期间部署了一个低频(LF)闪电遥感仪器阵列,旨在研究产生高影响天气的对流风暴。该考察的低频数据可为研究各种亚热带对流风暴中EIC的闪电背景提供有价值的数据集。本文描述了RELAMPAGO中低频CID数据集的生成,并包括对CID发生率的初步分析。来自RELAMPAGO低频数据集的地理位置闪电事件及其相应观测波形用于EIC的分类。基于天波反射计算高度估计值,其中使用拟合前残差数据编辑来提高对异常值的稳健性。即使网络内发生了EIP,但由于非常高的峰值电流事件数量较少且接收器饱和,使用这些数据对EIP进行自动分类可能不可行。另一方面,CID的分类很直接,并且对其正极性和负极性的特性都进行了研究。还介绍了一些RELAMPAGO案例研究,其中观察到普通风暴中CID发生率的高度变异性以及可能出现在超冲顶中的高空正CID。