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26 Nov 2022 - 14:23 EST
26 Nov 2022 - 19:23 UTC

GOES-East 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 - 26 Nov 2022 - 1816 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1816 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1821 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1821 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1826 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1826 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1831 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1831 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1836 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1836 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1841 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1841 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1846 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1846 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1851 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1851 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1856 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1856 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1901 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1901 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1906 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1906 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1911 UTC
Air Mass - RGB based on data from IR & water vapor - 26 Nov 2022 - 1911 UTC
 

About Air Mass

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.

• For more details, see the Air Mass RGB Guide, (PDF, 1.1 MB)