Upward Lightning at the Gaisberg Tower: Initiation Mechanism and Flash Type and the Atmospheric Influence
Isabell Stucke, Deborah Morgenstern, Gerhard Diendorfer, Georg J., Mayr, Hannes Pichler, Wolfgang Schulz, Thorsten Simon, Achim Zeileis

TL;DR
This study uses machine learning to analyze atmospheric conditions that favor self-initiated and undetectable upward lightning at tall structures, enhancing understanding of lightning initiation mechanisms and risks.
Contribution
It introduces a random forest model combining tower measurements with atmospheric reanalysis data to predict upward lightning types and their atmospheric triggers.
Findings
Height of the -10°C isotherm influences self-initiated lightning
Temperature and CAPE are significant atmospheric variables
Undetectable upward lightning correlates with absence of nearby lightning
Abstract
Upward lightning is much rarer than downward lightning and requires tall (~m) structures to initiate. It may be either triggered by other lightning discharges or completely self-initiated. While conventional lightning location systems reliably detect downward lightning, they miss a specific flash type of upward lightning that consists only of a continuous current. Globally, only few specially instrumented towers can detect this flash type. The proliferation of wind turbines in combination with large damage from upward lightning necessitates an improved understanding under which conditions the self-initiated and the undetected subtype of upward lightning occur. To find larger-scale meteorological conditions favorable for self-initiated and undetectable upward lightning, this study uses a random forest machine learning model. It combines direct measurements at the specially…
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Taxonomy
TopicsFire effects on ecosystems · Lightning and Electromagnetic Phenomena · Wind and Air Flow Studies
