Utilizing GOES Imagery to Forecast Winter Storms - Part 1
Dan Bikos, John Weaver and Jeff Braun
Other contributors: Donald Moore, Robert Glancy, Ron Przybylinski, Steve Amburn, Michael Ekster, David Vallee, Dennis Gettman, Chad Hahn, Ned Johnston, Paul Skrbac, Mark Plate, Chad Gimmestad, Michael Staudenmaier, Dolores Kiessling, David Novak, Stephen Jascourt, Jeff Tongue, Dan Baumgardt, Tony Mostek, and Scott Lindstrom.
This session consists of two parts. Both parts must be completed to get a certificate of completion as there are different points made in each part. For the "Live VISIT teletraining," the two parts are in different files. For the live training for part 2, please follow this link to Utilizing GOES Imagery to Forecast Winter Storms - Part 2.
- Blend GOES imagery with other available AWIPS products to help improve forecast skill in precipitation associated with winter storms
- Analyze case studies over various parts of the CONUS
- Conveyor belt identification
- Synoptic features (e.g. dry slot, short waves, jet streaks etc.)
- Model divergence
- Mesoscale banding
- Topographic effects
- Shear zones
- Precipitation type (with other datasets)
This is an intermediate course.
The Cyclogenesis VISIT session is a prerequisites.
Training Session Options
LMS students - to begin the training, use the web-based video, YouTube video, or audio playback options below (if present for this session).
PLEASE NOTE: For the "Web-based video" and "Audio playback" versions of this session, both of the 2 parts are contained in the same files linked to below. For the "Live VISIT teletraining," the two parts are in different files. For the live training for part 2, please follow this link to Utilizing GOES Imagery to Forecast Winter Storms - Part 2. The link for Part 1 is below.
- 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. For students who initiated this course in the NWS Learning Center (LMS), certificates of completion can be obtained from the learning center's "My Transcript" page upon completion of the associated quiz.
Audio playback (recommended for low-bandwidth users) - This is an audio playback version in the form of a downloadable VISITview and can be taken at anytime. Certificates of completion for NOAA employees can be obtained on the E-Learning Management System LMS
Create a directory to download the audio playback file (346 MB) from the following link: http://rammb.cira.colostate.edu/training/visit/training_sessions/utilizing_goes_imagery_to_forecast_winter_storms_part_1/utilizing_goes_imagery_to_forecast_winter_storms_part_1_audio.exe
After extracting the files into that directory click on either the visitplay.bat or visitauto.bat file to start the lesson. If both files are present, use visitauto.bat
- Live VISIT teletraining (with an instructor leading the session). Check the VISIT Training Calendar to signup for teletraining. The session will last 75 minutes. This teletraining session uses the VISITview software, where a Windows PC with an Internet connection is needed.
Please follow the teletraining installation instructions to install the session
- Talking points are available for this lesson and may be printed out to easily review the session in detail at any time.
- Bader, M.J., G.S. Forbes, J.R. Grant, R.B.E. Lilley, and A.J. Waters, 1995: Images in Weather Forecasting. University Press, Cambridge, Great Britain, 499 pp.
- Johnston, E.C. 1995: Updated Satellite Techniques to Forecast Heavy Snow. Wea. Forecasting, 10, 219-228.
- Snow to liquid water ratio climatology for each CWA
- TROWAL Identification
- An Ingredients-Based Methodology for Forecasting Midlatitude Winter Season Precipitation
- Water Vapor Channel Satellite Imagery
- Precipitation Type Forecasting
- Snow to liquid water ratio estimate based on a neural network
- Developed: 2004
- Dan Bikos (970) 491-3777