GOES 3.9 µm Channel
Contributors: Dan Bikos, Jeff Braun, Don Hillger, Bernie Connell, Scott Bachmeier and Scott Lindstrom
Introduction:
This is an introductory session meant to complement CIRA’s 3.9 µm tutorial, but is a good review for any forecaster.
Objectives:
- Review the science behind the 3.9 µm channel
- Discuss the many possible applications, including fog detection, fire detection, and snow/low cloud differentiation
- Look at a number of examples
- Preview what’s to come with future sensors
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 (56 MB) from the following link: http://rammb.cira.colostate.edu/training/visit/training_sessions/goes_3_9_um_channel/goes_3_9_um_channel_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.
- Ellrod, G. P., 1995: Advances in the Detection and Analysis of Fog at Night Using GOES Multispectral Infrared Imagery Wea. Forecasting, 606–619.
- Lindsey, D. T., D. Hillger, L. Grasso, J. Knaff, and J. Dostalek, 2006: Climatology and analysis for thunderstorms with enhanced 3.9 µm reflectivity. Mon. Wea. Rev., in press. Email me if you want a copy.
- CIRA’s 3.9 µm tutorial
- COMET’s GOES Channel Selection Tutorial
- Modification of the Fog Product in AWIPS
This course is Basic
This Course has no Prerequisites
Contact:
Dan Bikos
Dan.Bikos@colostate.edu