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Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1241 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1246 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1251 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1256 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1301 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1306 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1311 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1316 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1321 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1326 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1331 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Jan 2025 - 1336 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.