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.
1 Jun 2023 - 18:07 EDT
1 Jun 2023 - 22:07 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 - 01 Jun 2023 - 1940 UTC
Air Mass - RGB based on data from IR & water vapor - 01 Jun 2023 - 1950 UTC
Air Mass - RGB based on data from IR & water vapor - 01 Jun 2023 - 2000 UTC
Air Mass - RGB based on data from IR & water vapor - 01 Jun 2023 - 2010 UTC
Air Mass - RGB based on data from IR & water vapor - 01 Jun 2023 - 2020 UTC
Air Mass - RGB based on data from IR & water vapor - 01 Jun 2023 - 2030 UTC
Air Mass - RGB based on data from IR & water vapor - 01 Jun 2023 - 2040 UTC
Air Mass - RGB based on data from IR & water vapor - 01 Jun 2023 - 2050 UTC
Air Mass - RGB based on data from IR & water vapor - 01 Jun 2023 - 2100 UTC
Air Mass - RGB based on data from IR & water vapor - 01 Jun 2023 - 2110 UTC
Air Mass - RGB based on data from IR & water vapor - 01 Jun 2023 - 2120 UTC
Air Mass - RGB based on data from IR & water vapor - 01 Jun 2023 - 2130 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.
