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Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0541 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0546 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0551 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0556 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0601 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0606 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0611 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0616 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0621 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0626 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0631 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0636 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.