NOAA GOES Image Viewer website
27 Sep 2022 - 21:08 EDT
28 Sep 2022 - 01:08 UTC

GOES-West CONUS - Air Mass*

GOES-West - CONUS - AirMass - We are working to restore image production as quickly as possible. Please refer to the other GOES imagery sites listed on our resources page. Thank you for your patience.

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Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2006 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2006 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2011 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2011 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2016 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2016 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2021 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2021 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2026 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2026 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2031 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2031 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2036 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2036 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2041 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2041 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2046 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2046 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2051 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2051 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2056 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2056 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2101 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2101 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2106 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2106 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2111 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2111 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2116 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2116 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2121 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2121 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2126 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2126 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2131 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2131 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2136 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2136 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2141 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2141 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2146 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2146 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2151 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2151 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2156 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2156 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2201 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2022 - 2201 UTC
 

About Air Mass

Air Mass RGB is used to diagnose the environment surrounding synoptic systems by enhancing temperature and moisture characteristics of airmasses. Cyclogenesis can be inferred by the identification of warm, dry, ozone-rich descending stratospheric air associated with jet streams and potential vorticity (PV) anomalies. The RGB can be used to validate the location of PV anomalies in model data. Additionally, this RGB can distinguish between polar and tropical airmasses, especially along upper-level frontal boundaries and identify high-, mid-, and low-level clouds.

• For more details, see the Air Mass RGB Guide, (PDF, 1.1 MB)

*GOES-17 Infrared Image Quality

During post-launch testing of the GOES-17 ABI instrument, an issue with the instrument's cooling system was discovered. The loop heat pipe (LHP) subsystem, which transfers heat from the ABI electronics to the radiator, is not operating at its designed capacity. The consequence of this is that the ABI detectors cannot be maintained at their intended temperatures under certain orbital conditions. This is preventing adequate cooling for some of the infrared (IR) channels on the instrument during parts of the night, leading to partial loss of ABI imagery. Learn more.