Notice:
This site has successfully transitioned the image data source from GOES-16 to
GOES-19. There are some remaining anomalies in the production of mesoscale
geocolor images which are being investigated. Everything else should be operating
as expected. Please contact:
NESDIS.STAR.webmaster@noaa.gov if you have any questions.
17 Feb 2026 - 13:08 EST
17 Feb 2026 - 18:08 UTC
GOES-West Mesoscale view - Tropospheric Dust Content at 39°N - 119°W - Lyon County, NV
30 frame animation displayed. This mesoscale location is no longer being actively produced.
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 - 17 Feb 2026 - 1359 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1400 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1401 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1402 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1403 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1404 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1405 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1406 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1408 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1409 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1410 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1412 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1413 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1414 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1415 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1416 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1417 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1418 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1419 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1420 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1422 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1423 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1424 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1425 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1426 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1427 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1428 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1429 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1430 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Feb 2026 - 1432 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.