The above global satellite image montage is a Mollweide "composite image projection" of world wide cloud tops, synoptic observation, & sea surface temperatures. The cloud top image is a combo of GMS, GOES-8 and Meteosat imagery. A grid of the temperatures, obtained from synoptic observations every six hours, is made into an image and merged with an image of Sea Surface Temperatures and is generated daily from an NMC SST grid.
This algorithm was made to compare ocean and land surface temperatures (In other words, SST over water or synoptic observation temperature over land) with the IR temperatures from the satellite imagery. The composite image will only use the cloud values if an IR temperature is more than 14 degrees Kelvin colder than what the surface temperature is. The algorithm improved cloud and no-cloud classification by including the marine stratus and filtering out clear areas that are really cold, such as the Arctic and Antarctic regions.
Because these images are the result of the processing in a variety of weather data with a computer algorithm, there can be images that can show incorrect cloud cover and may have missing areas in the image. This is because of missing data, or errors in the data itself, and the fact that no algorithm for filtering out clear areas in satellite data (so that SST and Land surface temperature can be displayed along with cloud cover) will be 100% effective. The images are for educational and general info purposes, and are not meant for serious scientific, commercial, or other uses.
The above global satellite image montage is a Mollweide "composite image projection" of world wide cloud tops, synoptic observation, & sea surface temperatures. The cloud top image is a combo of GMS, GOES-8 and Meteosat imagery. A grid of the temperatures, obtained from synoptic observations every six hours, is made into an image and merged with an image of Sea Surface Temperatures and is generated daily from an NMC SST grid. This algorithm was made to compare ocean and land surface temperatures (In other words, SST over water or synoptic observation temperature over land) with the IR temperatures from the satellite imagery. The composite image will only use the cloud values if an IR temperature is more than 14 degrees Kelvin colder than what the surface temperature is. The algorithm improved cloud and no-cloud classification by including the marine stratus and filtering out clear areas that are really cold, such as the Arctic and Antarctic regions. Because these images are the result of the processing in a variety of weather data with a computer algorithm, there can be images that can show incorrect cloud cover and may have missing areas in the image. This is because of missing data, or errors in the data itself, and the fact that no algorithm for filtering out clear areas in satellite data (so that SST and Land surface temperature can be displayed along with cloud cover) will be 100% effective. The images are for educational and general info purposes, and are not meant for serious scientific, commercial, or other uses.
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