NOAA GOES Image Viewer website
10 Dec 2025 - 18:37 EST
10 Dec 2025 - 23:37 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 - 10 Dec 2025 - 2306 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2306 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2307 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2307 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2308 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2308 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2309 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2309 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2310 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2310 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2311 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2311 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2312 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2312 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2313 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2313 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2314 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2314 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2315 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2315 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2316 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2316 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2317 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2317 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2318 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2318 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2319 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2319 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2320 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2320 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2321 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2321 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2322 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2322 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2323 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2323 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2324 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2324 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2325 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2325 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2326 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2326 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2327 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2327 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2328 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2328 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2329 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2329 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2330 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2330 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2331 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2331 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2332 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2332 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2333 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2333 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2334 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2334 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2335 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 10 Dec 2025 - 2335 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)