Notice:
This site has successfully transitioned the image data source from GOES-16 to
GOES-19. There are some remaining anomalies in the production of mesoscale
geocolor images which are being investigated. Everything else should be operating
as expected. Please contact:
[email protected] if you have any questions.
29 Mar 2026 - 06:00 EDT
29 Mar 2026 - 10:00 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 - 29 Mar 2026 - 0750 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 29 Mar 2026 - 0800 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 29 Mar 2026 - 0810 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 29 Mar 2026 - 0820 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 29 Mar 2026 - 0830 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 29 Mar 2026 - 0840 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 29 Mar 2026 - 0850 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 29 Mar 2026 - 0900 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 29 Mar 2026 - 0910 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 29 Mar 2026 - 0920 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 29 Mar 2026 - 0930 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 29 Mar 2026 - 0940 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.