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.
9 Jul 2025 - 03:40 EDT
9 Jul 2025 - 07:40 UTC
GOES-West Mesoscale view - Tropospheric Dust Content at 55°N - 149°W - North Pacific 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 - 08 Jul 2025 - 0036 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0037 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0038 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0039 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0040 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0041 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0042 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0043 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0044 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0045 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0046 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0047 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0048 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0049 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0050 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0051 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0052 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0053 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0054 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0055 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0056 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0057 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0058 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0100 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0101 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0102 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0103 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0104 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0105 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 08 Jul 2025 - 0106 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.