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
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as expected. Please contact:
NESDIS.STAR.webmaster@noaa.gov if you have any questions.
20 Jul 2025 - 03:40 EDT
20 Jul 2025 - 07:40 UTC
GOES-19 Mesoscale view - Tropospheric Dust Content at 38°N - 89°W - Franklin County, IL
Half hour loop - 30 images - 1 minute update
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Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0708 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0709 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0710 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0711 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0712 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0713 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0714 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0715 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0716 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0717 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0718 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0719 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0720 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0721 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0722 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0723 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0724 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0725 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0726 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0727 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0728 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0729 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0730 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0731 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0732 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0733 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0734 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0735 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0736 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Jul 2025 - 0737 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.
