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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
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DTSTART:20111113T170000Z
DTEND:20111114T013000Z
LOCATION:Hyatt Discovery B
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: As we enter the age of data intensive science, knowledge discovery in simulation based science rests upon analyzing massive amounts of data. In climate science, model-generated and observational data represent one of the largest repositories of scientific data in any discipline. Geoscientists gather data faster than they can be interpreted. They possess powerful tools for stewardship and visualization, but not for data intensive analytics to understand causal relationships among simulated events. Such tools will provide unique insights into challenging features of the earth system, including anomalies, nonlinear dynamics and chaos with the potential to play a significant role in future IPCC assessments. The breakthroughs needed to address these challenges will come from collaborative efforts involving end-user scientists, computer and computational scientists in diverse disciplines to discuss the design and development of methods and tools for knowledge discovery in climate science. See https://redmine.dkrz.de/collaboration/projects/ckd-workshop for presentations from the first workshop.
SUMMARY:Climate Knowledge Discovery Workshop
PRIORITY:3
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