CASCADE research teams require sophisticated pattern detection and statistical analysis capabilities

  • Detection of extremes is a pre-requisite for most proposed methodologies
  • UQ and D&A teams rely on GEV and spatial extreme analysis for characterization
  • Statistical methodologies are a cross-cutting theme throughout the SFA

CASCADE science teams require automated “Big Data” analytics

  • ILIAD 10,000 member ensembles will result in ~1PB datasets
  • CAM5 0.25° runs on Mira will produce 2-3 PB datasets
  • We will process O(100GB) observation and O(TB) CMIP-5 datasets