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GOES-R Cloud and microphysical products, fog and low stratus

Instructors:

Scott Lindstrom

Andy Heidinger

Michael Pavolonis

Patrick Minnis

Andi Walther

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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 Cloud Products and includes information on Fog and Low Stratus. GOES-R Cloud Products, such as Cloud Mask, Cloud-top Properties (Height, Pressure, Temperature), Cloud Optical Depth and Cloud Phase can help a forecaster more completely describe cloud attributes and anticipate weather events related to specific cloud types. The temporal cadence and horizontal resolution of the products is discussed, as well as the accuracy and use of the products

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 Learning 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_cloud_products/goes_r_cloud_products_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

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.