Meteorological Imagery for the Geostationary Lightning Mapper

Bruning, Eric C.; Tillier, Clemens E.; Edgington, Samantha F.; Rudlosky, Scott D.; Zajic, Joe; Gravelle, Chad; Foster, Matt; Calhoun, Kristin M.; Campbell, P. Adrian; Stano, Geoffrey T.; Schultz, Christopher J.; Meyer, Tiffany C.

doi:10.1029/2019JD030874

i

Meteorological Imagery for the Geostationary Lightning Mapper

2019
By Bruning, Eric C. ; Tillier, Clemens E. ; Edgington, Samantha F. ; ...

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Journal Title:

Journal of Geophysical Research: Atmospheres
Personal Author:

Bruning, Eric C. ; Tillier, Clemens E. ; Edgington, Samantha F. ; Rudlosky, Scott D. ; Zajic, Joe ; Gravelle, Chad ; Foster, Matt ; Calhoun, Kristin M. ; Campbell, P. Adrian ; Stano, Geoffrey T. ; Schultz, Christopher J. ; Meyer, Tiffany C.
NOAA Program & Office:

NOAA Cooperative Institutes ; CIMMS (Cooperative Institute for Mesoscale Meteorological Studies) ; NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; NWS (National Weather Service) ; SR (Southern Region) ; STI (Office of Science and Technology Integration) ; OAR (Oceanic and Atmospheric Research) ; NSSL (National Severe Storms Laboratory)
Description:

The Geostationary Lightning Mapper (GLM) on the Geostationary Operational Environmental Satellite‐R series of weather satellites provides point geolocations of lightning flashes that are further comprised of a hierarchy of geolocated groups and events. This study describes an open‐source method for reconstruction of imagery from those point detections that retains the quantitative physical measurements made by GLM, restores the spatial footprint of the events, and connects that spatial footprint to the groups and flashes. Meteorological signals are demonstrated to be more apparent in the gridded imagery than in the point detections, leading to their adoption by the United States National Weather Service as the first GLM product available in their real‐time displays. Analysis of a mesoscale convective system over Argentina confirms that there is a class of propagating lightning observed by GLM (distinct from that in storm cores) that can be visualized and quantified using our imagery‐based approach.
Keywords:

Lightning Satellites
Source:

JGR Atmospheres (2019) 124(24): 14280-14309.
DOI:

https://doi.org/10.1029/2019JD030874
Document Type:

Journal Article
Funding:

Grant no. NA14NEWS4320003
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:56d07b5d92bd4cf773ac10ecc56bc511e9ab3a1d8548278355fa25ae5437471dea48eeaf40f8e46a79346b65d0aeadc8137266eaf6d69b5f1d6e441a59cb2aba
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https://repository.library.noaa.gov/view/noaa/26102/noaa_26102_DS1.pdf
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[PDF - 8.07 MB ]

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