Dan Bikos
|Sat FC-G
|2016
|2018
This module is part of the satellite foundational course for GOES-R (SatFC-G). This particular module covers pre-convective cloud features. The primary learning objective of this module is to provide an introduction to how GOES-R capabilities can be utilized to identify various pre-convective cloud features, including cumulus streets, stable wave clouds, and the undular bore.
Since the size of this module is greater than 100 MB, we recommend that you utilize either the Download video OR YouTube version below.
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
YouTube video:
Create a directory to download the video file from the following link: http://rammb.cira.colostate.edu/training/visit/training_sessions/goes_r_pre_convective_cloud_features/goes_r_pre_convective_cloud_features_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.
This version of the training module debuted in the Fall of 2016 which included Himawari and pre-GOES-R era GOES imagery. Formats include:
There are no prerequisites
Dan Bikos
Dan.Bikos@colostate.edu
Unless otherwise noted, all content on the CIRA RAMMB: VISIT, SHyMet and VLab webpages are released under a Creative Commons Attribution 3.0 License.