BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121112T160000Z
DTEND:20121113T003000Z
LOCATION:250-DE
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. 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 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 several disciplines, including end-user scientists, computer and computational scientists, computing engineers, and mathematicians.  This workshop brings together research scientists in these diverse disciplines to discuss the design and development of methods and tools for knowledge discovery in climate science.
SUMMARY:Climate Knowledge Discovery Workshop
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121112T160000Z
DTEND:20121113T003000Z
LOCATION:250-DE
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. 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 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 several disciplines, including end-user scientists, computer and computational scientists, computing engineers, and mathematicians.  This workshop brings together research scientists in these diverse disciplines to discuss the design and development of methods and tools for knowledge discovery in climate science.
SUMMARY:Climate Knowledge Discovery Workshop
PRIORITY:3
END:VEVENT
END:VCALENDAR