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Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0810 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0820 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0830 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0840 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0850 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0900 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0910 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0920 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0930 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0940 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 0950 UTC
Air Mass - RGB based on data from IR & water vapor - 21 Nov 2024 - 1000 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.