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- AE13A-04: An Object-Based Analysis of Lightning Characteristics in Pre-Tropical Cyclogenesis Environments (invited)
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NOLA CC
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Nicholas Mesa, Colorado State University (First Author, Presenting Author)
Benjamin Trabing, University Corporation for Atmospheric Research
Michael Bell, Colorado State University
Alan Brammer, Cooperative Institute for Research in the Atmosphere
Patrick Duran, NASA Marshall Space Flight Center
Philip Klotzbach, Colorado State University
Kate Musgrave, Cooperative Institute for Research in the Atmosphere
Stephanie Stevenson, NOAA/NWS/NCEP National Hurricane Center
The Geostationary Lightning Mapper (GLM) is a spaceborne lightning sensor that represents a significant advancement in the observation of lightning. In this work, we utilize GLM observations to investigate lightning prior to the formation of tropical storms. GLM enables a detailed view of lightning, providing continuous, high-resolution observations and measuring variables such as lightning area and energy. We consider additional lightning characteristics using a tracking algorithm, known as the Tracking and Object-Based Analysis of Clouds, which provides variables such as lightning lifetime. Using colocated radar data for Tropical Storm Claudette in 2021, we find that lightning area and energy indicate the intensity of vertical motion, which can be relevant for tropical storm formation. When looking at lightning in four developing North Atlantic tropical storms, we observe multiple instances of lightning coinciding with factors relevant to intensification and organization. More work is needed to evaluate lightning across a greater number of developing tropical storms.
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