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This site has successfully transitioned the image data source from GOES-16 to
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29 Mar 2026 - 06:05 EDT
29 Mar 2026 - 10:05 UTC
GOES-West Full Disk - Air Mass
2 hour loop - 12 images - 10 minute update
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Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0750 UTC
Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0800 UTC
Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0810 UTC
Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0820 UTC
Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0830 UTC
Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0840 UTC
Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0850 UTC
Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0900 UTC
Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0910 UTC
Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0920 UTC
Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0930 UTC
Air Mass - RGB based on data from IR & water vapor - 29 Mar 2026 - 0940 UTC
Key for AirMass RGB:
1 - Jet stream / potential vorticity (PV) / deformation zones / dry upper level (dark red / orange)
2 - Cold air mass (dark blue/purple)
3 - Warm air mass (green)
4 - Warm air mass, less moisture (olive/dark orange)
5 - High thick cloud (white)
6 - Mid level cloud (tan/salmon)
7 - Low level cloud (green, dark blue)
8 - Limb effects (purple/blue)
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.