For years, HPC systems have been used to improve
the accuracy of weather forecasts. Now scientists are
employing the latest supercomputers to look further
over the horizon and predict global climate change.
While using similar or the same models as used for
weather forecasting, climatologists compute quantities represent averages over large areas
and long periods of time. These long-term climate simulations rank among the most complex and computationally demanding problems in science.

This white paper discusses how machines such as
the petaflops-scale SGI supercomputer recently
purchased by the U.S. government for the National
Center for Atmospheric Research (NCAR) can make
quick work of these hugely complex simulations.

Download the white paper today to learn more.

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