Notice: As of 4:26 p.m. EDT,
the GOES-16 ABI Imager (GOES-East) is offline due to a reported thermal anomaly.
No GOES-East images will be updated while the satellite is offline.
As soon as data flow is restored, we will begin processing images and update the site.
GOES-West continues to operate normally.
26 Jul 2024 - 21:44 EDT
27 Jul 2024 - 01:44 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
To enlarge, pause animation & click the image. Hover over popups to zoom. Use slider to navigate.
While GOES animation code will not run on older Internet Explorer browsers,
they work in the newest versions of Microsoft Edge. If you are using
Internet Explorer, please try a different browser: Chrome, Firefox, Safari, or
MS Edge are all supported.
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0111 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0112 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0113 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0114 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0115 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0116 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0117 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0118 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0119 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0120 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0121 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0122 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0124 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0125 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0126 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0127 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0128 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0129 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0131 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0132 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0133 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0134 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0135 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0136 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0137 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0138 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0139 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0140 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0141 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 27 Jul 2024 - 0142 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.
