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Objective Satellite-Based Overshooting Top and Enhanced-V Anvil Thermal Couplet Signature Detection

Instructors:

Scott Lindstrom

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Topic:

Archived Training

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Developed:

2011

Introduction


Objectives:

  • Learn how satellite data can be used objectively to detect features associated with strong thunderstorms.
  • Learn how Overshooting Tops and Thermal Couplets are related to severe weather.

This is an experimental GOES-R Proving Ground Product designed to foster GOES-R readiness.

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 Learn Center

  1. Audio playback (recommended for low-bandwidth users) – This is an audio playback version in the form of a downloadable VISITview and can be taken at anytime.

    Create a directory to download the audio playback file (222 MB) from the following link: http://rammb.cira.colostate.edu/training/visit/training_sessions/objective_overshooting_top_and_thermal_couplet_detection/objective_overshooting_top_and_thermal_couplet_detection_audio.exe

    After extracting the files into that directory click on either the visitplay.bat or visitauto.bat file to start the lesson. If both files are present, use visitauto.bat

References/Additional Links


  • Talking points are available for this lesson and may be printed out to easily review the session in detail at any time.
  • How to obtain this data in AWIPS
  • GOES Convective Storm Monitoring and Nowcasting Products. Look for Overshooting Tops / Thermal Couplets on this page.
This course is Basic

Some of the information in this training is also covered in the Enhanced-V training session. There are no prerequisites.

Contact

Scott Lindstrom

scottl@ssec.wisc.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.