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.
13 Mar 2026 - 22:27 EDT
14 Mar 2026 - 02:27 UTC
GOES-19 Mesoscale view - Tropospheric Dust Content at 15°N - 45°W - North Atlantic Ocean
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 Sep 2025 - 1247 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1248 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1249 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1250 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1251 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1252 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1253 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1254 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1255 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1256 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1257 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1258 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1259 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1300 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1301 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1302 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1303 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1304 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1305 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1306 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1307 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1308 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1309 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1310 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1311 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1312 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1313 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1314 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1315 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 17 Sep 2025 - 1316 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.