Dear Colleagues,

SC12 will be held in Salt Lake City, Utah, from November 10-16, 2012 (http://sc12.supercomputing.org/). We will once again be organizing a full-day workshop on Climate Knowledge Discovery, this time on Monday November 12.

Numerical simulation based science follows a new paradigm: its knowledge discovery process rests upon massive amounts of data. We are entering the age of data intensive science. Data is either generated by observational equipment such as satellite sensors, microscopes, particle colliders etc., or is born digital, e.g. generated by an intensive usage of high performance computing.

One of the largest repositories of scientific data in any discipline are the model generated and observational geoscience data used in climate science. Geoscientists gather data faster than they can be interpreted. Current approaches to data volumes are primarily focused on stewardship and visualization but do not provide tools for data intensive analytics to appropriately complement climate model simulations. Such tools could provide unique insights into challenging features of the Earth system, including anomalies, nonlinear dynamics and chaos. 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 is the fourth in a series of planned workshops to discuss the design and development of methods and tools for knowledge discovery in climate science. The organizers invite contributions from researchers in a broad range of domains working on the development and application of large-scale graph analytics, semantic technologies, and knowledge discovery algorithms in climate science. Both research papers describing novel methods and results as well as position papers describing the current state and vision for this emerging area are welcome.

Proposed agenda topics include:
* Science vision, opportunities, and challenges for advanced climate data analytics
* Data mining, machine learning, or statistical methods with applications to climate science problems
* Tools and methods for uncertainty quantification and reduction in climatic data ranging from past (paleo) reconstructions to model projections
* Tools and methods for climate model evaluation, intercomparison, and combination in ensemble settings
* Application of massive scale data analytics to large-scale distributed interdisciplinary environmental data repositories
* Application of networks and graphs to spatio-temporal climate data, including computational implications
* Application of semantic technologies in climate data information models, including RDF and OWL
* Enabling technologies for massive-scale data analytics, including graph construction, graph algorithms, graph oriented computing and user interfaces
* Visualization techniques for climate, environmental, and other earth science datasets

The deadline for abstract submission is 14 September 2012.

The final versions of the papers need to be formatted as per the IEEE instructions provided to SC. The paper must be at most 10 pages long. The 10-page limit includes figures, tables, and appendices, but does not include references, for which there is no page limit. The formatting instructions are available here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html

Please feel free to further distribute this invitation also to possibly interested colleagues and students. We apologize in case of any multiple receipt of this message. If you think that you have received this email in error or wish to be removed from our mailing list, we would appreciate a short notification.

** Submission site: https://www.easychair.org/conferences/?conf=ckd2012 **

CKD community project page: https://redmine.dkrz.de/collaboration/projects/ckd-workshop
SC12 Workshop wiki: https://redmine.dkrz.de/collaboration/projects/ckd-workshop/wiki/ckd_sc12
We are looking forward to seeing you at SC12 in Salt Lake City.

Workshop Committee:
Reinhard G. Budich, MPI-M, Germany
John Feo, PNNL, USA
Per Nyberg, Cray Inc., USA
Karsten Steinhaeuser, University of Minnesota, USA
Tobias Weigel, DKRZ, Germany