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This site has successfully transitioned the image data source from GOES-16 to
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7 Dec 2025 - 05:33 EST
7 Dec 2025 - 10:33 UTC
GOES-19 Mesoscale view - Tropospheric Dust Content at 38°N - 75°W - Near Worcester County, MD
Half hour loop - 30 images - 1 minute update
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Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1001 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1002 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1003 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1004 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1005 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1006 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1007 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1008 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1009 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1010 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1011 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1013 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1014 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1015 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1016 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1017 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1018 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1019 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1020 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1021 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1022 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1024 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1025 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1026 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1027 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1028 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1029 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1030 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1031 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 07 Dec 2025 - 1032 UTC
Dust RGB key:
1 - Dust plume, day (bright magenta, pink) Note: Dust at night becomes purple shades below 3 km
2 - Low, water cloud (light purple)
3 - Desert surface, day (light blue)
4 - Mid, thick clouds (tan shades)
5 - Mid, thin cloud (green)
6 - Cold, thick clouds (red)
7 - High, thin ice clouds (black)
8 - Very thin clouds, over warm surface (blue)
Dust RGB Dust can be hard to see in visible and infrared imagery because it is optically thin, or because it appears similar to other cloud types such as cirrus. The RGB product is able to contrast airborne dust from clouds using band differencing and the IR thermal channel. The IR band differencing allows dust storms to be observed during both daytime and at night.
