Objectives: Identify and track low-level moisture utilizing GOES imagery with other datasets.
Nighttime detection:
10.7 um imagery
Fog product
Daytime detection using:
Visible imagery
10.7 um imagery
Cloudy or clear conditions
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
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.
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.
Bikos, D., Weaver, J., and J. Braun, 2006: The Role of GOES Satellite Imagery in Tracking Low-Level Moisture. Wea. Forecasting, 21, 232-241.
Dostalek, J.F., J.F. Weaver, J.F.W. Purdom and K.Y. Winston, 1997: Nighttime detection of low-level thunderstorm outflow using a GOES multispectral image product. Wea. Forecasting, 12, 947-950.
Lewis, J.M., C.M. Hayden, R.T. Merrill, and J.M. Schneider, 1989: GUFMEX: A study of return flow in the Gulf of Mexico. Bull. Amer. Meteor. Soc., 70, 24-29.