Dataset Information

Research Applications for the Geostationary Lightning Mapper Operational Lightning Flash Data Product.

ABSTRACT: The Lightning Cluster Filter Algorithm in the Geostationary Lightning Mapper (GLM) ground system identifies lightning flashes from the stream of event detections. It excels at clustering simple flashes but experiences anomalies with complex flashes that last longer than 3 s or contain more than 100 groups, leading to flashes being artificially split. We develop a technique that corrects these anomalies and apply it to the 2018 GLM data to document all lightning across the Americas. We produce statistics describing the characteristics and frequencies of reclustered GLM flashes and thunderstorm area features. The average GLM Americas flash rate in 2018 was 11.7 flashes per second with the greatest flash rate densities occurring over Lake Maracaibo (157 flashes per km2/year). Lloró, Chocó, Colombia had the most thunderstorm activity with 256 thunder days. The longest GLM flash spanned 673 km, the largest flash covered 114,997 km2, and the longest-lasting flash had a 13.496-s duration. The first case occurred over Rio Grande do Sul in Brazil, while the other two cases occurred in the central United States. All three extreme flashes are located in the stratiform regions of Mesoscale Convective Systems. The highest flash rate for a thunderstorm area feature was 17.6 flashes per second, while the largest thunderstorm was 216,865 km2 in size. Both storms occurred in South America. These initial results demonstrate the value that the development of a reprocessed GLM science product would offer and how such a product might be created at a reduced computational cost.

SUBMITTER: Peterson M

PROVIDER: S-EPMC6894167 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Research Applications for the Geostationary Lightning Mapper Operational Lightning Flash Data Product.

Peterson Michael M

Journal of geophysical research. Atmospheres : JGR 20190901 17-18

The Lightning Cluster Filter Algorithm in the Geostationary Lightning Mapper (GLM) ground system identifies lightning flashes from the stream of event detections. It excels at clustering simple flashes but experiences anomalies with complex flashes that last longer than 3 s or contain more than 100 groups, leading to flashes being artificially split. We develop a technique that corrects these anomalies and apply it to the 2018 GLM data to document all lightning across the Americas. We produce st ...[more]

PMID: 31807399

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Dataset Information

Research Applications for the Geostationary Lightning Mapper Operational Lightning Flash Data Product.

Publications

Research Applications for the Geostationary Lightning Mapper Operational Lightning Flash Data Product.

Similar Datasets

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