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Training and Outreach SLIDER Loop of the Day Calibration/Validation and Visualization GOES-R Proving Ground

GOES-R Derived Motion Winds

Instructors:

Scott Lindstrom

Scott Bachmeier

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Topic:

Sat FC-G

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Developed:

2016

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Last Updated:

2018

Introduction

This module is part of the satellite foundational course for GOES-R (SatFC-G). This particular module covers the GOES-R baseline product: Derived motion winds. Learning objectives include:

1. How Derived Motion Winds (also known as Atmospheric Motion Vectors) are created.

2. Height assignment of Derived Motion Winds

3. Validation, accuracy and precision of Derived Motion Winds.

4. Uses and examples of Derived Motion Winds.

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_derived_motion_vectors/goes_r_derived_motion_vectors_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

Scott Lindstrom

scottl@ssec.wisc.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.