Worskhop on Data Mining in Earth System Science (DMESS 2012)
http://www.climatemodeling.org/workshops/dmess2012/

Co-convened by:
Forrest M. Hoffman, Jiendra Kumar, J. Walter Larson,
Richard Tran Mills, and Miguel D. Mahecha

Held in Conjunction with:
International Conference on Computational Science (ICCS 2012)
Omaha, Nebraska, USA
June 4-6, 2012
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Workshop Description:

Spanning many orders of magnitude in time and space scales, Earth science data are increasingly large and complex, and often represent very long time series, making such data difficult to analyze, visualize, interpret, and understand. Moreover, advanced electronic data storage technologies have enabled the creation of large repositories of observational data, while modern high performance computing capacity has enabled the creation of detailed empirical and process-based models that produce copious output across all these time and space scales. The resulting ?explosion? of heterogeneous, multi-disciplinary Earth science data has rendered traditional means of integration and analysis ineffective, necessitating the application of new analysis methods and the development of highly scalable software tools for synthesis, comparison, and visualization. This workshop explores various data mining approaches to understand Earth science data, emphasizing the technological challenges associated with utilizing very large and long time series geospatial data sets. Especially encouraged are original research papers describing applications of data mining methods?including cluster analysis, empirical orthogonal functions (EOFs), genetic algorithms, neural networks, and other machine-learning techniques?that support analysis and discovery in climate, water resources, geology, ecology, and environmental sciences research.

Previous workshops:

* Second Workshop on Data Mining in Earth System Science (ICCS 2011)
* First Workshop on Data Mining in Earth System Science (ICCS 2009)

Program Committee Members:

* Michael W. Berry (Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA)
* William W. Hargrove (Eastern Forest Environmental Threat Assessment Center, USDA Forest Service, USA)
* Forrest M. Hoffman (Computational Earth Sciences Group, Computer Science & Mathematics Division and Ecosystem Science Group, Environmental Sciences Division and Oak Ridge Climate Change Science Institute, Oak Ridge National Laboratory, USA; Department of Earth System Science, University of California, Irvine, USA)
* Jian Huang (Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA)
* Robert L. Jacob (Mathematics and Computer Science Division, Argonne National Laboratory, USA)
* Jitendra Kumar (Computational Earth Sciences Group, Computer Science & Mathematics Division and Ecosystem Science Group, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA)
* Vipin Kumar (Department of Computer Science and Engineering, University of Minnesota, USA)
* J. Walter Larson (Mathematics and Computer Science Division, Argonne National Laboratory, USA; Computation Institute, University of Chicago, USA; and School of Computer Science, The Australian National University, Canberra ACT 0200, AUSTRALIA)
* Miguel D. Mahecha (Biogeochemical Model-Data Integration Group, Max Planck Institute for Biogeochemistry, Jena, GERMANY)
* Kumar Mahinthakumar (Department of Civil, Construction, & Environmental Engineering, North Carolina State University, Raleigh, North Carolina, USA)
* Richard T. Mills (Computational Earth Sciences Group, Computer Science & Mathematics Division and Aquatic Sciences Group, Environmental Sciences Division and Oak Ridge Climate Change Science Institute, Oak Ridge National Laboratory, USA; and Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA)
* Habib N. Najm (Sandia National Laboratories, Livermore, California, USA)
* Markus Reichstein (Biogeochemical Model-Data Integration Group, Max Planck Institute for Biogeochemistry, Jena, GERMANY)
* Karsten Steinhaeuser (Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, USA)
* R. Raju Vatsavai (Computational Sciences and Engineering Division, Oak Ridge National Laboratory, USA)

Paper Submission:

Authors are invited to submit manuscripts of up to 10 (A4) pages reporting unpublished, mature, and original research and recent developments/theoretical considerations in applications of data mining to Earth sciences by January 9, 2012. Accepted papers will printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series. Submitted papers must be camera-ready and formatted according to the rules of Procedia Computer Science. Submission implies the willingness of at least one of the authors to register and present the paper.

Please submit your paper via the conference website at http://www.iccs-meeting.org/iccs2012/papers/upload.php and select the workshop ?Third Data Mining in Earth System Science (DMESS 2012)?.

Important Dates:

- Full paper submission: January 9, 2012
- Notification of paper acceptance: February 9, 2012
- Final camera-ready papers due: March 1, 2012

Contact:

- URL: http://www.climatemodeling.org/workshops/dmess2012/
- E-mail: dmess2012@climatemodeling.org