Skip to Navigation Skip to content

Regional and Mesoscale Meteorology Branch

Search the RAMMB website

GOES-R Aerosols in AWIPS

Instructors:

Scott Lindstrom

Shobha Kondragunta

Amy Huff

|

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 covers GOES-R aerosol products. Learning objectives include:

1. Which aerosol products are available in AWIPS.

2. What is the temporal cadence for the Full Disk, CONUS and Meso domains?

3. What is the spatial resolution of the aerosol products?

3. Which spectral bands on GOES-R ABI are used to create aerosol products

4. What forecast problems can aerosol products help with?

Training Session Options


NOAA/NWS students – to begin the training, use the web-based videoYouTube 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_aerosols/goes_r_aerosols_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.