WELCOME TO THE GEOSTATIONARY LIGHTNING MAPPER VIRTUAL COMMUNITY

This forum supports Geostationary Lightning Mapper (GLM) implementation and training.  The page provides a vehicle for learning about the GLM capabilities and limitations, exploring GLM applications, understanding data quality, and addressing GLM inquiries.

The first Geostationary Lightning Mapper (GLM) launched into orbit aboard the first Geostationary Operational Environmental Satellite R-series (GOES-R), becoming GOES-16 after reaching geostationary orbit on 29 November 2016. The GLM on GOES-16 is the first of four instruments that will provide lightning mapping over most of the western hemisphere through 2036.

The GLM performance meets or exceeds all program specifications, but the data quality will continue to improve.  Simultaneous development and implementation efforts aim to improve the operational utility of the GLM data. New visualizations have been developed for the NWS Advanced Weather Interactive Processing System (AWIPS) software.


Sample desktop backgrounds... MariaIrmaHarveyThree Hurricanes, or Lake Maracaibo

Near real time imagery is available at http://lightning.umd.eduhttp://col.st/haYgj, and http://col.st/WtVLp

Example GLM Imagery

 

 

What's New

GLM Training Resources

ArcGIS Story Maps (2022)     Quickly Diagnosing GLM Noise ...

Other Featured Training

WOC Severe Lessons (WDTD) Satellite Lightning Products and Best Practices Ground Based Lightning Products and Best Practices   FDTD Satellite Applications Webinars ...

Full-Disk Archive

Archived AWIPS-compatible full-disk GLM grids are available at...  https://lightningdev.umd.edu/feng_data_sharing/

WELCOME TO THE GEOSTATIONARY LIGHTNING MAPPER VIRTUAL COMMUNITY

This forum supports Geostationary Lightning Mapper (GLM) implementation and training, providing tools for learning about the GLM capabilities and limitations, exploring applications, understanding...

Most recent image

Imagery available for every 12 hour period since Sept 2019 at ( https://lightning.umd.edu/glm/imagery/autovideos/ ) Your browser does not support the video tag.

Blog Post Entry

Forecasters are invited to submit blog posts using either the "+Add Blog Entry" button below or a simplified google submission form available here ( https://forms.gle/6wpcHdrfGrwBx91G9 )

Highlighted Papers

Reference / Link Plain Language Summary Goss, H. 2020:  Lightning research flashes forward , Eos , 101, Published on 24 April...