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Regional and Mesoscale Meteorology Branch

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SHyMet: Severe Thunderstorm Forecasting Course

The Severe Thunderstorm Forecasting and Warning Decision track of the Satellite Hydrology and Meteorology (SHyMet) Course covers satellite imagery and products useful in the operational forecasting and warning decision making process for severe thunderstorms.  The course was updated in 2020 and now contains GOES-16/17 imagery and products.  The course includes techniques for integrating GOES imagery with other datasets in analyzing the pre-storm environment, and the changing near-storm environment during the nowcasting to warning decision making time period.  There is also a focus on signatures observed in satellite imagery that may indicate that a storm is severe.  There is a session on the latest version of the NOAA/CIMSS ProbSevere product which is a tool that combines multiple datasets into one product and is useful in the nowcast to warning decision making time period.  Finally, non-supercell tornadoes present a unique challenge and a session addresses the potential utility of total lightning from the GOES GLM.  This course is administered through web-based instruction and consists of 8 training modules with a total run time of approximately 150 minutes, therefore expected completion time to go through the videos and take each quiz will take you roughly twice that amount of time, or about 5 hours.

If you have NOT taken the Satellite Foundational Course for GOES-R, it is recommended that you take the following modules (also all with GOES-R imagery) from the Mesoscale Features Part 1 section of that course, which includes the following lessons:

NOAA employees may register for this course on the NOAA Commerce Learning Center.

Non-NOAA employees may register by sending an email to:  nws.oaa.clo.shymet AT
In the email, be sure to include your name.  We will reply to you with setup instructions for this course.

Training Modules

Click the column heading at the top to reorder the columns - double click to switch ascending titles to descending.

Title Topic Instructor(s) Developed Updated Length (min) WMO Sat. Skill(s)
Integrating GOES Into Mesoanalysis Severe/Sat Dan Bikos 2019 25 2.1, 2.2, 2.6, 2.7, 3.3.2, 3.3.3, 3.3.4, 7.1-5
Storm Signatures Observed in Satellite Imagery Severe/Sat Dan Bikos 2020 15 2.2, 3.3.3, 3.3.4
Tracking the Elevated Mixed Layer with a new GOES-R Water Vapor Band Severe Course Dan Bikos 2015 2019 20 3.2.3, 3.3.2, 5.1.5, 7.1-5
Above Anvil Cirrus Plumes Severe/Sat Scott Lindstrom 2020 30
Severe Weather Applications of the GOES Split Window Difference Product Severe/Sat Dan Bikos 2019 2019 20 2.2, 3.3.2, 3.3.3, 3.3.4, 7.1-5
Mesoscale Convective Vortices Severe/Sat Scott Lindstrom 2004 2022 15
NOAA/CIMSS ProbSevere Product Severe/Sat Scott Lindstrom 2014 2019 45
Can total lightning help with warnings for non-supercell tornadoes? Severe Course Ed Szoke 2015 2019 40