A thunderstorm is a cumulonimbus cloud that produces lightning and thunder. Lightning causes more deaths in the United States than tornadoes or hurricanes. In Wisconsin, straight-line winds from a collapsing cumulonimbus storm or a line of fast moving thunderstorms are responsible for more damage and deaths on an annual basis than tornadoes. Detecting and monitoring thunderstorms is obviously a critical component of satellite meteorology.
Before a cumulonimbus cloud develops, meteorologists look at GOES sounder data
to identify areas of the atmosphere ripe for severe weather. Once
convection becomes apparent on visible satellite images in the form
of rapidly developing cumulus clouds, meteorologists monitor the
area closely. They look at water vapor images to see if the storm
is below a jet stream or how much moisture might be available to
feed the storm. They monitor IR images to glean additional information
during the daytime or when the sun is low in the sky (or set) and
reflected light isn’t readily available for visible satellite images.
GOES sounder data is used to observe atmospheric stability before
storms become severe. An animation of atmospheric stability in
the form of the lifted index is shown below.
Increasingly negative lifted indices indicate increasing instability.
The red color coded lifted index values (-8 to -13) are the most
unstable in these images. Notice these red pixels
over northern Wisconsin after 1800 UTC. These values were associated
with a tornado that hit Ladysmith Wisconsin that
afternoon.
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