This module is part of the satellite foundational course for GOES-R (SatFC-G). This particular module covers simulated / synthetic satellite imagery. Learning objectives include 1) Understand the generation, display and limitations of synthetic / simulated imagery, 2) Introduce how the use of synthetic / simulated satellite imagery from NWP can aid in the forecast process of cloud cover,low cloud / fog, convection and extra-tropical cyclogenesis, 3) How to verify synthetic / simulated satellite imagery with GOES-R 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.
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 Learning Center.
Create a directory to download the video file from the following link: http://rammb.cira.colostate.edu/training/visit/training_sessions/goes_r_comparing_synthetic_to_observed_satellite_imagery/goes_r_comparing_synthetic_to_observed_satellite_imagery_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
Unless otherwise noted, all content on the CIRA RAMMB: VISIT, SHyMet and VLab webpages are released under a Creative Commons Attribution 3.0 License.