GOES-R Boundary-forced convection
Introduction:
This module is part of the satellite foundational course for GOES-R (SatFC-G). This particular module covers boundary-forced convection. The primary learning objectives of this module are to identify boundaries utilizing new capabilities of GOES-R and identify convection forced by boundaries in GOES-R proxy imagery.
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
- 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.
- YouTube video:
- 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_boundary_forced_convection/goes_r_boundary_forced_convection_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:
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
- GOES-R Quick Guide for 0.64 micron band
- GOES-R Quick Guide for 0.86 micron band
- GOES-R Quick Guide for 10.3 micron band
- VISIT training module: 1-minute Visible Satellite Imagery Applications for Severe Thunderstorms