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This site has successfully transitioned the image data source from GOES-16 to
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16 Apr 2025 - 15:53 EDT
16 Apr 2025 - 19:53 UTC
GOES-19 Full Disk - Tropospheric Dust Content
2 hour loop - 12 images - 10 minute update
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Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1740 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1750 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1800 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1810 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1820 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1830 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1840 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1850 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1900 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1910 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1920 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 1930 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.