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20 Apr 2025 - 11:12 EDT
20 Apr 2025 - 15:12 UTC
GOES-19 CONUS - Air Mass
1 hour loop - 12 images - 5 minute update
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Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1411 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1416 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1421 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1426 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1431 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1436 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1441 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1446 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1451 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1456 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1501 UTC
Air Mass - RGB based on data from IR & water vapor - 20 Apr 2025 - 1506 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.
