GOES Imagery for Forecasting Severe Weather
Contributors: Scott Lindstrom, Jonathan Finch, Jeff Braun, Dan Lindsey, Al Pietrycha, Melissa Goering.
Introduction:
Objectives:
- Assessment of model performance – how to gain confidence in particular model solution(s) with observational data.
- Air mass identification.
- Identification of changes in the pre-storm environment.
- Monitor the changing environment during the nowcast to WDM time period.
There is a post-training WES simulation jobsheet associated with this training.
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.
- 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. Create a directory to download the audio playback file (185 MB) from the following link: http://rammb.cira.colostate.edu/training/visit/training_sessions/goes_imagery_for_forecasting_severe_weather/goes_imagery_for_forecasting_severe_weather_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
- YouTube video:
References / Additional Links:
Talking points are available for this lesson and may be printed out to easily review the session in detail at any time. Mazur, R.J., J.F. Weaver, and T.H. Vonder Haar. Observations of inflow feeder clouds and their relation to severe thunderstorms. 22nd Conference on Weather Analysis and Forecasting, Park City, Utah, 25-29 June 2007. Boston, MA, American Meteorological Society, P2.19.
The following VISIT training sessions are recommended:
Contact:
Dan Bikos
Dan.Bikos@colostate.edu