Skip to Navigation Skip to content

Regional and Mesoscale Meteorology Branch

Search the RAMMB website

GOES-R Introduction to Mesoscale and Synoptic Sections

Instructors:

Dan Bikos

|

Topic:

Sat FC-G

|

Developed:

2016

|

Last Updated:

2018

Introduction


This module is part of the satellite foundational course for GOES-R (SatFC-G). This particular module outlines the mesoscale/convection and synoptic sections of the course. The primary learning objectives of this module are to understand the structure of the mesoscale/convection and synoptic sections and also introduce specific GOES-R capabilities applicable to these sections.

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_introduction_to_mesoscale_and_synoptic_sections/goes_r_introduction_to_mesoscale_and_synoptic_sections_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


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.