THE GOES-16 geostationary lightning mapper: Lightning trends within tornadic quasi-linear convective systems

Date

2019-12

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Abstract

The vast coverage and high spatiotemporal resolution of the new Geostationary Lightning Mapper (GLM) spans a wide array of applications from research and forecasting to health and safety. Ground-based Lightning Mapping Arrays (LMAs) have already been used to observe lightning trends, with operational concepts integrated into Hazardous Weather Testbed and GOES-R Proving Ground trials as a proxy for the GLM to determine the relevance of flash detection as an addition to traditional radar-based warning algorithms. Many visualization methods, from point data to gridding, were tested; combinations like gridded Flash Extent Density (FED) and other flash moments such as average flash area, were found most useful for safety operations, and still others may prove just as crucial for monitoring storm trends. This study has a twofold aim: first, to continue the established investigation of flash properties (both rates and trends) and their relationship to severe weather. Second, to understand the influence of along-line variabilities in the environment on these flash properties, and what this may also mean for severe weather.

 A variety of cases from 2017 and 2018 will be examined using GLM data, including from VORTEX-SE days of operation. Substantial exploration has already been done on the use of lightning trends with supercells; here, QLCS circulations will be studied due in part to their substantially different driving mechanisms and kinematic environments, which are expected to carry significant impacts on mixed-phase region depth and thus lightning output. Because relatively few of such studies exist, the utility of flash properties in specifically QLCSs will be examined here. To understand how the GLM can be best used operationally to monitor these convective systems, the performance of various flash moments will be studied in detail, through various display methods and time aggregations.

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Unrestricted.

Keywords

GOES-16, Geostationary, Lightning, Mapper, Trends, Tornadic, Quasi, Linear, Convective, Systems

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