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Data Fusion Exercise: Anomalously low GLM flash extent density for the 28 April 2021 severe thunderstorm event

Instructors:

Dan Bikos

Jim LaDue

Katy Christian

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Topic:

Severe

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Developed:

2022

Introduction


This training session will build on data fusion methodologies from the Data Fusion section of the WOC Severe Course (updated in FY21). We will apply these data fusion concepts to a case with a lightning-dense thunderstorm. This type of thunderstorm may result in lower detection efficiency of lightning activity as observed from the GLM instrument. Data fusion techniques are utilized to help identify the GLM detection anomaly which can be applied to short-term forecast and warning operations of severe thunderstorms.

Training Session Options


NOAA/NWS students – to begin the training, use the web-based video, YouTube video, or audio playback options below (if present for this session). Certificates of completion for NOAA/NWS employees can be obtained by accessing the session via the Commerce Learning Center.

  1. Web-based video

References/Additional Links


This course is Advanced

The Data Fusion section of the WOC Severe Track is a prerequisite to this training.  Under the Data Fusion section, see the two “Practice and Applications from Multiple Data Sources” training sessions.

Contact

Dan Bikos

Dan.Bikos@colostate.edu

Page Contact

Bernie Connell

bernie.connell@colostate.edu

970-491-8689

Unless otherwise noted, all content on the CIRA RAMMB: VISIT, SHyMet and VLab webpages are released under a Creative Commons Attribution 3.0 License.