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24 Jan 2026 - 18:59 UTC
GOES-19 Mesoscale view - Tropospheric Dust Content at 39°N - 104°W - Elbert County, CO
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Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1641 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1642 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1643 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1644 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1645 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1646 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1647 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1648 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1649 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1650 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1651 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1652 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1653 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1654 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1655 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1656 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1657 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1658 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1659 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1700 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1701 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1702 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1703 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1704 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1705 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1706 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1707 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1708 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1709 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Dec 2025 - 1710 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.
