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22 Jun 2025 - 11:21 EDT
22 Jun 2025 - 15:21 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 - 22 Jun 2025 - 1444 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1445 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1446 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1447 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1448 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1449 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1450 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1451 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1452 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1453 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1454 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1455 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1456 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1457 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1459 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1500 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1501 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1503 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1504 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1505 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1506 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1507 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1508 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1509 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1510 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1511 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1512 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1513 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1514 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 22 Jun 2025 - 1515 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.