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This site has successfully transitioned the image data source from GOES-16 to
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30 Apr 2025 - 10:31 EDT
30 Apr 2025 - 14:31 UTC
GOES-19 CONUS - Tropospheric Dust Content
1 hour loop - 12 images - 5 minute update
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Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1326 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1331 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1336 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1341 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1346 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1351 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1356 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1401 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1406 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1411 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1416 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 30 Apr 2025 - 1421 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.