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5 Dec 2024 - 17:13 UTC
GOES-East Full Disk - Air Mass
2 hour loop - 12 images - 10 minute update
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Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1510 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1520 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1530 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1540 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1550 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1600 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1610 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1620 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1630 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1640 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1650 UTC
Air Mass - RGB based on data from IR & water vapor - 05 Dec 2024 - 1700 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.