NOAA GOES Image Viewer website
28 Jan 2023 - 11:59 EST
28 Jan 2023 - 16:59 UTC

GOES-East 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 - 28 Jan 2023 - 1628 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1628 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1629 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1629 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1630 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1630 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1631 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1631 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1632 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1632 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1633 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1633 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1634 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1634 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1635 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1635 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1636 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1636 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1637 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1637 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1638 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1638 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1639 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1639 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1640 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1640 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1641 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1641 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1642 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1642 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1643 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1643 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1644 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1644 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1645 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1645 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1646 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1646 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1647 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1647 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1648 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1648 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1649 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1649 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1650 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1650 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1651 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1651 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1652 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1652 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1653 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1653 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1654 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1654 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1655 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1655 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1656 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1656 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1657 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 28 Jan 2023 - 1657 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)