To enlarge, pause animation & click the image. Hover over popups to zoom. Use slider to navigate. Apparent 'jumps' in the animation occur due to adjustments to reflect storm movement.
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Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2200 UTC
Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2210 UTC
Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2220 UTC
Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2230 UTC
Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2240 UTC
Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2250 UTC
Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2300 UTC
Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2310 UTC
Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2320 UTC
Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2330 UTC
Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2340 UTC
Air Mass - RGB composite based on the data from IR and WV - 10 Sep 2019 - 2350 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.
