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.
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