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This site has successfully transitioned the image data source from GOES-16 to
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14 Jul 2025 - 17:05 EDT
14 Jul 2025 - 21:05 UTC
GOES-19 Mesoscale view - Tropospheric Dust Content at 40°N - 74°W - Ocean County, NJ
Half hour loop - 30 images - 1 minute update
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Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2031 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2032 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2033 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2034 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2035 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2036 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2037 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2038 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2039 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2040 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2041 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2042 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2043 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2044 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2045 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2046 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2047 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2048 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2049 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2050 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2053 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2054 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2055 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2056 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2057 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2058 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2100 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2101 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2102 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 14 Jul 2025 - 2103 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.