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23 May 2025 - 07:53 EDT
23 May 2025 - 11:53 UTC
GOES-19 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 - 23 May 2025 - 0940 UTC
Air Mass - RGB based on data from IR & water vapor - 23 May 2025 - 0950 UTC
Air Mass - RGB based on data from IR & water vapor - 23 May 2025 - 1000 UTC
Air Mass - RGB based on data from IR & water vapor - 23 May 2025 - 1010 UTC
Air Mass - RGB based on data from IR & water vapor - 23 May 2025 - 1020 UTC
Air Mass - RGB based on data from IR & water vapor - 23 May 2025 - 1030 UTC
Air Mass - RGB based on data from IR & water vapor - 23 May 2025 - 1040 UTC
Air Mass - RGB based on data from IR & water vapor - 23 May 2025 - 1050 UTC
Air Mass - RGB based on data from IR & water vapor - 23 May 2025 - 1100 UTC
Air Mass - RGB based on data from IR & water vapor - 23 May 2025 - 1110 UTC
Air Mass - RGB based on data from IR & water vapor - 23 May 2025 - 1120 UTC
Air Mass - RGB based on data from IR & water vapor - 23 May 2025 - 1130 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.
