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1-minute Visible Satellite Imagery Applications for Severe Thunderstorms

Instructors:

Dan Bikos

|

Topic:

Severe/Sat

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Developed:

2014

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Last Updated:

2015

Introduction


Starting with the GOES-R satellite, high temporal resolution (1-minute or 30-second) imagery will be available in AWIPS on a routine basis. This training session focuses on applications of 1-minute (or 30-second) imagery for analysis of severe thunderstorms. GOES-R high temporal resolution imagery will enable mesoanlysis of the pre-storm environment and monitoring the changing environment during the nowcast to warning decision making time period that is not possible with the current scanning (RSO, 8 images per hour) schedule. After taking the training, we recommend going through the blog entries listed below (under the “References/Additional Links” section) for recent events.

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 (104 MB) from the following link: http://rammb.cira.colostate.edu/training/visit/training_sessions/1_minute_visible_satellite_imagery_applications_for_severe_thunderstorms/1_minute_visible_satellite_imagery_applications_for_severe_thunderstorms_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

  2. YouTube video:

References/Additional Links


Blog entries

This course is Basic

There are no prerequisites

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.