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