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Air Mass - RGB based on data from IR & water vapor - 05 May 2024 - 2336 UTC
Air Mass - RGB based on data from IR & water vapor - 05 May 2024 - 2341 UTC
Air Mass - RGB based on data from IR & water vapor - 05 May 2024 - 2346 UTC
Air Mass - RGB based on data from IR & water vapor - 05 May 2024 - 2351 UTC
Air Mass - RGB based on data from IR & water vapor - 05 May 2024 - 2356 UTC
Air Mass - RGB based on data from IR & water vapor - 06 May 2024 - 0001 UTC
Air Mass - RGB based on data from IR & water vapor - 06 May 2024 - 0006 UTC
Air Mass - RGB based on data from IR & water vapor - 06 May 2024 - 0011 UTC
Air Mass - RGB based on data from IR & water vapor - 06 May 2024 - 0016 UTC
Air Mass - RGB based on data from IR & water vapor - 06 May 2024 - 0021 UTC
Air Mass - RGB based on data from IR & water vapor - 06 May 2024 - 0026 UTC
Air Mass - RGB based on data from IR & water vapor - 06 May 2024 - 0031 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.