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16 Dec 2025 - 04:40 EST
16 Dec 2025 - 09:40 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 - 16 Dec 2025 - 0905 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0906 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0907 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0909 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0910 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0912 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0913 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0914 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0915 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0916 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0917 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0918 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0919 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0920 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0921 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0922 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0923 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0924 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0925 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0926 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0928 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0929 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0930 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0931 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0932 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0934 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0935 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0936 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0937 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 16 Dec 2025 - 0938 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.