Regional and Mesoscale Meteorology Branch

GOES-R Discrete Storms

Introduction

This module is part of the satellite foundational course for GOES-R (SatFC-G). This particular module covers discrete storms. The primary learning objective of this module is to provide an introduction to how GOES-R capabilities can be utilized to identify and track discrete thunderstorms.

Since the size of this module is greater than 100 MB, we recommend that you utilize either the Download video OR YouTube version below.

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. Web-based video that can be taken at anytime (streamed, not recommended for low-bandwidth users). Be sure to have your speakers on and the volume loud enough to hear the presentation.

2. YouTube video:

3. Download video (recommended for low-bandwidth users) – This is an audio playback version in the form of an Articulate Presenter video and can be taken at anytime.

   Create a directory to download the video file from the following link: http://rammb.cira.colostate.edu/training/visit/training_sessions/goes_r_discrete_storms/goes_r_discrete_storms_articulate.zip

   After extracting the files into that directory click on either the presentation.html OR index.html file and the video will begin to play in your browser.

Original Pre-Launch Version

This version of the training module debuted in the Fall of 2016 which included Himawari and pre-GOES-R era GOES imagery. Formats include:

• Articulate Presenter Video
• Articulate Download (zip file)
• Talking points document
• Youtube video

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.
• Powerpoint file
• 1-minute Visible Satellite Imagery Applications for Severe Thunderstorms