GOES-18 Interleave Testing - Has ended. GOES-West data now supplied from operational GOES-17 satellite.
GOES-18 expected to become operational GOES-West in January 2023. See GOES-18 Interleave Testing for more information.
27 Sep 2023 - 15:50 EDT
27 Sep 2023 - 19:50 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 - 27 Sep 2023 - 1730 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2023 - 1740 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2023 - 1750 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2023 - 1800 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2023 - 1810 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2023 - 1820 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2023 - 1830 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2023 - 1840 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2023 - 1850 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2023 - 1900 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2023 - 1910 UTC
Air Mass - RGB based on data from IR & water vapor - 27 Sep 2023 - 1920 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.
