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This site has successfully transitioned the image data source from GOES-16 to
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11 Jun 2025 - 21:33 EDT
12 Jun 2025 - 01:33 UTC
GOES-West CONUS - Tropospheric Dust Content
1 hour loop - 12 images - 5 minute update
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Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0031 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0036 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0041 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0046 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0051 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0056 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0101 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0106 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0111 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0116 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0121 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 12 Jun 2025 - 0126 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.