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Characterizing Charge Structure in Central Argentina Thunderstorms During RELAMPAGO Utilizing a New Charge Layer
Bruno L Medina1, Lawrence D Carey1, Timothy J Lang2
1Department of Atmospheric and Earth Science The University of Alabama in Huntsville Huntsville AL USA.
A new automated method, Chargepol, analyzes lightning data to determine storm electrical charge structure. This technique reveals normal and anomalous charge distributions, offering insights into thunderstorm electrification processes.
Area of Science:
- Atmospheric Science
- Electromagnetism
- Meteorology
Background:
- Understanding thunderstorm electrical structure is crucial for weather forecasting and lightning safety.
- Previous methods for analyzing charge distribution relied on manual inspection, limiting scalability and objectivity.
Purpose of the Study:
- To introduce and validate Chargepol, an automated method for retrieving charge layer polarity, altitude, and thickness from lightning data.
- To characterize the electrical charge structure of thunderstorms in Central Argentina and compare it with data from the United States.
Main Methods:
- Utilized data from the NASA Lightning Mapping Array (LMA) during the RELAMPAGO field campaign.
- Employed very-high frequency (VHF) source emissions to estimate charge distribution properties.
- Validated the automated Chargepol method against manual polarity assignments.
Main Results:
- Chargepol successfully inferred storm bulk electrical charge structure over extended periods.
- The study identified varying percentages of anomalous charge structures across different regions, with Colorado showing the highest rate (82.6%).
- Anomalous thunderstorms in Cordoba exhibited enhanced low-level positive charge, a rare feature in Colorado storms.
Conclusions:
- The Chargepol method provides a reliable and scalable approach to studying thunderstorm electrification.
- Regional variations in thunderstorm charge structure were observed, highlighting the need for localized analysis.
- The findings contribute to a deeper understanding of lightning formation and storm dynamics.
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