GOES-17 Loop Heat Pipe and Predictive Calibration
Introduction:
Objectives:
- Better understanding of GOES Satellite calibration.
- Understand how and why GOES-17 infrared imagery is degraded at some times of the year because of the Loop Heat Pipe.
- Understand how predictive calibration will improve imagery from GOES-17 — but also understand what it will not provide, data when the sensors saturate.
Outline:
- How are the detectors on ABI integrated into the cooling system on GOES-R satellites.
- When during the year does the Loop Heat Pipe underperformance have the biggest impact on infrared imagery?
- How does the degradation affect the infrared signal as the Loop Heat Pipe starts to malfunction at some points of the year?
- Example of the degradation.
- Predictive calibration and its impact.
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 any time. Create a directory to download the audio playback file (135 MB) from the following link: http://rammb.cira.colostate.edu/training/visit/training_sessions/goes_17_loop_heat_pipe_and_predictive_calibration/goes_17_loop_heat_pipe_and_predictive_calibration_audio.zip 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:
Blog post Data Fusion to mitigate Loop Heat Pipe data dropouts
Blog post on Predictive Cal becoming operational
This course is Basic
This Course has no Prerequisites
Contact:
Scott Lindstrom
scottl@ssec.wisc.edu