Microwave Sounding Unit (AMSU) is a microwave radiometer that
can be used to detect temperature at different levels of the atmosphere.
Based on gradients in temperature measurements in a given area, it
is possible to estimate maximal sustained radial wind speed. This
wind speed estimate can be combined with other factors such as ice
scattering and moisture in order to detect tropical cyclones. Roy
Spencer of the Global
Hydrology and Climate Center (GHCC) has designed an algorithm
for detecting tropical cyclones and estimating their maximum sustained
The ADaM data mining system was used to implement this algorithm.
In addition, an image is produced for the AMSU channel 8 brightness
temperatures by the same mining application. This image is combined
with the text file containing the events to produce an integrated
visual result. The processing has been automated and is currently
being done as soon as the AMSU data become available.
Results can be viewed on the web at http://pm-esip.msfc.nasa.gov/cyclone.