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18 Apr 2025 - 16:31 EDT
18 Apr 2025 - 20:31 UTC
GOES-19 CONUS - Air Mass
2 hour loop - 24 images - 5 minute update
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Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1831 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1836 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1841 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1846 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1851 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1856 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1901 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1906 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1911 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1916 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1921 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1926 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1931 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1936 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1941 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1946 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1951 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 1956 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 2001 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 2006 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 2011 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 2016 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 2021 UTC
Air Mass - RGB based on data from IR & water vapor - 18 Apr 2025 - 2026 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.