NOAA GOES Image Viewer website
27 Jan 2023 - 13:09 EST
27 Jan 2023 - 18:09 UTC

GOES-East Mesoscale view - Tropospheric Dust Content at 37°N - 86°W - Barren County, KY

Half hour loop - 30 images - 1 minute update

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Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1735 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1735 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1736 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1736 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1737 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1737 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1738 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1738 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1739 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1739 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1740 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1740 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1741 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1741 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1742 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1742 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1743 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1743 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1744 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1744 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1745 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1745 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1746 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1746 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1747 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1747 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1748 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1748 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1749 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1749 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1750 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1750 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1751 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1751 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1752 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1752 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1753 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1753 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1754 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1754 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1755 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1755 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1756 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1756 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1757 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1757 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1800 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1800 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1801 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1801 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1802 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1802 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1803 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1803 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1804 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1804 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1805 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1805 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1806 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jan 2023 - 1806 UTC
legend for Dust RBG

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.

• For more details, see the Dust RGB Quick Guide, (PDF, 978 KB)