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15 Apr 2025 - 22:54 EDT
16 Apr 2025 - 02:54 UTC
GOES-19 CONUS - Tropospheric Dust Content
1 hour loop - 12 images - 5 minute update
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Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0151 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0156 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0201 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0206 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0211 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0216 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0221 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0226 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0231 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0236 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0241 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Apr 2025 - 0246 UTC
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.