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