NOAA GOES Image Viewer website
24 Jan 2025 - 10:45 EST
24 Jan 2025 - 15:45 UTC

GOES-West Mesoscale view - Tropospheric Dust Content at 37°N - 118°W - Inyo County, CA

Half hour loop - 30 images - 1 minute update

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Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1511 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1511 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1512 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1512 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1513 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1513 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1514 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1514 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1515 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1515 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1516 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1516 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1517 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1517 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1518 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1518 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1519 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1519 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1520 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1520 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1521 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1521 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1522 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1522 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1523 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1523 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1524 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1524 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1525 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1525 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1527 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1527 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1528 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1528 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1529 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1529 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1530 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1530 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1531 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1531 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1532 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1532 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1533 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1533 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1534 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1534 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1535 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1535 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1536 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1536 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1537 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1537 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1539 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1539 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1540 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1540 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1541 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1541 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1542 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 24 Jan 2025 - 1542 UTC
legend for Dust RBG

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.

• For more details, see the Dust RGB Quick Guide, (PDF, 978 KB)