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This site has successfully transitioned the image data source from GOES-16 to
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13 Apr 2025 - 15:31 EDT
13 Apr 2025 - 19:31 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 - 13 Apr 2025 - 1821 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 13 Apr 2025 - 1826 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 13 Apr 2025 - 1831 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 13 Apr 2025 - 1836 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 13 Apr 2025 - 1841 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 13 Apr 2025 - 1846 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 13 Apr 2025 - 1851 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 13 Apr 2025 - 1901 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 13 Apr 2025 - 1906 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 13 Apr 2025 - 1911 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 13 Apr 2025 - 1916 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 13 Apr 2025 - 1921 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.