Lightning Mapping Array flash detection performance with variable receiver thresholds

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 detail...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Journal of geophysical research. Atmospheres : JGR. - 1998. - 121(2016), 14 vom: 27. Juli, Seite 8600-8614
1. Verfasser: Chmielewski, Vanna C (VerfasserIn)
Weitere Verfasser: Bruning, Eric C
Format: Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:Journal of geophysical research. Atmospheres : JGR
Schlagworte:Journal Article Lightning Mapping Array VHF source error detection efficiency flash area distortion network performance
Beschreibung
Zusammenfassung: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
Beschreibung:Date Revised 26.03.2024
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:2169-897X