NOAA GOES Image Viewer website
15 Jan 2025 - 23:26 EST
16 Jan 2025 - 04:26 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 - 16 Jan 2025 - 0354 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0354 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0355 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0355 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0356 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0356 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0357 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0357 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0358 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0358 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0359 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0359 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0400 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0400 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0401 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0401 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0402 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0402 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0403 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0403 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0404 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0404 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0405 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0405 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0406 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0406 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0407 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0407 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0408 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0408 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0409 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0409 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0410 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0410 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0411 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0411 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0412 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0412 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0413 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0413 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0414 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0414 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0415 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0415 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0416 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0416 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0417 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0417 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0418 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0418 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0419 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0419 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0420 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0420 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0421 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0421 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0422 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0422 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0423 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Jan 2025 - 0423 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)