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Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1521 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1526 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1531 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1536 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1541 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1546 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1551 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1556 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1601 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1606 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1611 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1616 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1621 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1626 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1631 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1636 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1641 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1646 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1651 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1656 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1701 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1706 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1711 UTC
Air Mass - RGB based on data from IR & water vapor - 28 Oct 2021 - 1716 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.
