NOAA GOES Image Viewer website
16 Oct 2026 - 20:33 EDT
17 Oct 2026 - 00:33 UTC

GOES-19 Mesoscale view - Tropospheric Dust Content at 38°N - 75°W - Near Worcester County, MD

Half hour loop - 30 images - 1 minute update

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Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0002 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0002 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0003 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0003 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0004 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0004 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0005 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0005 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0006 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0006 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0007 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0007 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0008 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0008 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0009 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0009 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0010 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0010 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0011 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0011 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0012 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0012 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0013 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0013 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0014 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0014 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0015 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0015 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0016 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0016 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0017 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0017 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0018 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0018 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0019 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0019 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0020 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0020 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0021 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0021 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0022 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0022 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0023 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0023 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0024 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0024 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0025 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0025 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0026 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0026 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0027 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0027 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0028 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0028 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0029 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0029 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0030 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0030 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0031 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Oct 2026 - 0031 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)