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This site has successfully transitioned the image data source from GOES-16 to
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4 Feb 2026 - 20:44 EST
5 Feb 2026 - 01:44 UTC
GOES-19 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 - 04 Feb 2026 - 2330 UTC
Air Mass - RGB based on data from IR & water vapor - 04 Feb 2026 - 2340 UTC
Air Mass - RGB based on data from IR & water vapor - 04 Feb 2026 - 2350 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Feb 2026 - 0000 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Feb 2026 - 0010 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Feb 2026 - 0020 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Feb 2026 - 0030 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Feb 2026 - 0040 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Feb 2026 - 0050 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Feb 2026 - 0100 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Feb 2026 - 0110 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Feb 2026 - 0120 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.