Regional and Mesoscale Meteorology Branch

Introduction:

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

1. 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 (53 MB) from the following link: Download 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
2. 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.
• Use of GOES/RSO imagery with other Remote Sensor Data for Diagnosing Severe Weather across the CONUS (RSO 3)
• Parmenter, F.C., 1975: Low-Level Moisture Intrusion from Infrared Imagery. Mon. Wea. Rev., 104, 100-104.
• 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.