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17 Jun 2026 - 03:10 EDT
17 Jun 2026 - 07:10 UTC
GOES-West CONUS - Air Mass
1 hour loop - 12 images - 5 minute update
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Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0611 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0616 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0621 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0626 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0631 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0636 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0641 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0646 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0651 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0656 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0701 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jun 2026 - 0706 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.