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17 Jul 2026 - 19:58 EDT
17 Jul 2026 - 23:58 UTC
GOES-West 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 - 17 Jul 2026 - 2130 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jul 2026 - 2140 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jul 2026 - 2150 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jul 2026 - 2200 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jul 2026 - 2210 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jul 2026 - 2220 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jul 2026 - 2230 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jul 2026 - 2240 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jul 2026 - 2250 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jul 2026 - 2320 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jul 2026 - 2330 UTC
Air Mass - RGB based on data from IR & water vapor - 17 Jul 2026 - 2340 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.
