Data Fusion Exercise: Anomalously low GLM flash extent density for the 28 April 2021 severe thunderstorm event
WMO Skills:
2.1, 2.2, 2.5, 2.6, 3.3.2, 3.3.3, 3.3.4, 7.1-5
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.
References/Additional Links
Data Fusion section of the WOC Severe Track – this training session will build on data fusion methodologies from the Data Fusion section of the WOC Severe Course (added with the FY21 update).
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