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Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0451 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0456 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0506 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0511 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0516 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0521 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0526 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0531 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0536 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0541 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0546 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0551 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0601 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0606 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0611 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0616 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0621 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0626 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0631 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0641 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0646 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0651 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0701 UTC
Air Mass - RGB based on data from IR & water vapor - 28 May 2022 - 0706 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.
