The devastation incurred by the landfall of Hurricane Sandy on the northeast coast of the United States just over one year ago exemplifies the need for further advances in accuracy and reliability in numerical weather prediction.  High-resolution numerical weather simulations carried out on hundreds of thousands of processors on the largest supercomputers are providing these very insights. The National Center for Atmospheric Research (NCAR) Weather Research and Forecasting (WRF) model has been employed on the largest yet storm prediction model using real data of over 4 billion points to simulate the landfall of Hurricane Sandy. Using an unprecedented 13,680 nodes (437,760 cores) of the Cray XE6 Blue Waters supercomputer at the National Center for Supercomputing Applications  at the University of Illinois, the team of Peter Johnsen from Cray, Inc., Mark Straka from NCSA, and Mel Shapiro, Alan Norton, and Tom Galarneau from NCAR achieved an unprecedented level of performance for any weather model.  The model used approximately 4 billion grid points at an extremely fine resolution of 500 meters.  Forecast data was written and analyzed by the NCAR team members using the NCAR VAPOR visualization suite. To read further, please visit http://www.hpcwire.com/2013/11/14/behind-blue-waters-hurricane-sandy-simulation/?goback=.gde_4178444_member_5807125690411159555#