NOAA GOES Image Viewer website
19 Mar 2024 - 01:58 EDT
19 Mar 2024 - 05:58 UTC

GOES-East Mesoscale view - Tropospheric Dust Content at 33°N - 79°W - Near Georgetown County, SC

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Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1726 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1726 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1727 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1727 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1728 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1728 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1729 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1729 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1730 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1730 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1731 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1731 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1732 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1732 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1733 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1733 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1734 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1734 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1735 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1735 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1736 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1736 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1738 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1738 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1739 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1739 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1740 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1740 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1741 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1741 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1742 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1742 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1743 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1743 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1744 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1744 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1745 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1745 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1746 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1746 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1747 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1747 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1748 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1748 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1749 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1749 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1750 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1750 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1751 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1751 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1752 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1752 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1753 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1753 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1754 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1754 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1755 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1755 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1757 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 May 2023 - 1757 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)