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20 May 2025 - 00:34 EDT
20 May 2025 - 04:34 UTC
GOES-19 Mesoscale view - Tropospheric Dust Content at 40°N - 95°W - Andrew County, MO
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Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1554 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1555 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1556 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1557 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1559 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1600 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1601 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1602 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1603 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1604 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1605 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1606 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1607 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1609 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1610 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1611 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1612 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1613 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1614 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1616 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1617 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1618 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1619 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1620 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1621 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1622 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1623 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1624 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1625 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Apr 2025 - 1627 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.