Dan Bikos
Dan Lindsey
Larry Hinson
Fred Mosher
|Archived Training
|2004
This is a two part session on two different topics.
Part 1 deals with the Interactive Cloud Height Algorithm in AWIPS. This feature allows users to obtain a cloud height estimate based on infrared satellite (channel 4) brightness temperatures. Either a nearby raob or a model forecast sounding is used to obtain the cloud height from the retrieved brightness temperature. In order to properly use this tool, the user needs to understand the numbers and letters which are part of the algorithm output.
Topics covered include:
Part 2 deals with GOES Sounder Point Retrievals in AWIPS. Derived Product Imagery (DPI) (precipitable water, lifted index, etc) has been available in AWIPS for awhile, but the point retrievals are relatively new. Viewing the sounder data in this fashion requires caution – this is what Part 2 of this teletraining session will focus on.
Topics covered include:
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.
Create a directory to download the audio playback file (24 MB) from the following link: http://rammb.cira.colostate.edu/training/visit/training_sessions/cloud_height_algorithm_goes_sounder_pr/cloud_height_algorithm_goes_sounder_pr_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
Part 1:
Part 2:
There are no prerequisites
Dan Bikos
Dan.Bikos@colostate.edu
Unless otherwise noted, all content on the CIRA RAMMB: VISIT, SHyMet and VLab webpages are released under a Creative Commons Attribution 3.0 License.