92nd American Meteorological Society Annual Meeting (January 22-26, 2012)

Themed Joint Session 20 Data Mining, Prediction, and Predictability of the Climate System

Wednesday, 25 January 2012: 4:00 PM-5:45 PM
Room 242 (New Orleans Convention Center )
Hosts: (Joint between the 10th Conference on Artificial Intelligence Applications to Environmental Science; the 24th Conference on Climate Variability and Change; and the 21st Conference on Probability and Statistics in the Atmospheric Sciences )
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Cochairs:  Scott Sellars, Univ. of California and Alex J. Cannon, MSC
Papers:
  4:00 PM
TJ20.1
Validation of the CMIP5 Climate Models Using Network Analysis
Ilias Foudalis, Georgia Institute of Technology, Atlanta, GA; and A. Bracco and C. Dovrolis
Recorded Presentation

 
TJ20.2
Finding Time-Periods of Abrupt Climate Change: A Data Mining Approach

  4:15 PM
TJ20.2A
Automated Tracking and Analysis of Convective Weather Systems Using the Binary Baddeley Image Metric
Benjamin R. J. Schwedler, Purdue Univ., West Lafayette, IN; and M. E. Baldwin
Recorded Presentation

  4:30 PM
TJ20.3
Parameter Sensitivity and Optmization in Climate Models
Annalisa Bracco, Georgia Institute of Technology, Atlanta, GA; and J. D. Neelin, H. Luo, J. C. McWilliams, and J. Meyerson
Recorded Presentation

  4:45 PM
TJ20.4
Quantifying the Relationship Between Dynamical Cores and Physical Parameterizations by Object-Based Methods
Soner Yorgun, Univ. of Michigan, Ann Arbor, MI; and R. B. Rood
Recorded Presentation

  5:00 PM
TJ20.5
A Comparison of Nonlinear and Linear Statistical Downscaling for Future Climate
Carlos Felipe Gaitan, Univ. of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh and A. J. Cannon
Recorded Presentation

  5:15 PM
TJ20.6
An Application of a Newly Developed Machine Learning Technique for Predicting Climate-Meningitis Seasonal Outlook Over West Africa
Isaac K. Tetteh, North Carolina State Univ., Raleigh, NC; and D. L. Gonzalez II, Z. Chen, N. F. Samatova, and F. H. M. Semazzi

  5:30 PM
TJ20.7
Semi-Supervised Multivariate Regression Trees in Synoptic Climatology: Putting the "Circulation" Back Into a "Circulation-to-Environment" Synoptic Classifier
Alex J. Cannon, MSC, Vancouver, BC, Canada

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