njcoyote/pseudo-dynamic-hlma-scripts: v1.0.0

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Authors: Timothy Logan, Krishna Calindi
Cited by: 0

Abstract

This archive contains the scripts used to generate the figures for a publication titled "Employing pseudo-dynamic metrics derived from lightning to diagnose tornadic supercell thunderstorm organization and maintenance" submitted to the Journal of Geophysical Research Letters. The workflow uses the raw exported Houston Lightning Mapping Array (LMA) data to extract pseudo-dynamic quanities including pseudo-vorticity, pseudo-tendency, fragmentation and duty cycle. These diagnostics are used to quantify storm evolution and electrical organization in supercell, tornado, sea-breeze and meso-scale convective system (MCS) case studies.

Fields of Study & Subjects

Lightning and Electromagnetic Phenomena Meteorological Phenomena and Simulations Precipitation Measurement and Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 January 2026
Language
EN