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Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1451 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1456 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1501 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1506 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1511 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1516 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1521 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1526 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1531 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1536 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1541 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1546 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1551 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1556 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1601 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1606 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1611 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1616 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1621 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1626 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1631 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1636 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1641 UTC
Air Mass - RGB based on data from IR & water vapor - 06 Oct 2022 - 1646 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.
