89th American Meteorological Society Annual Meeting

Session 1: Applications of Artificial Intelligence—I

Monday, 12 January 2009: 4:00 PM-5:30 PM
Room 125A (Phoenix Convention Center)
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Chair:  S. Lakshmivarahan, University of Oklahoma
Papers:
  4:00 PM
1.1
On the nonlinear relation between model parameters and forecast parameters
Caren Marzban, APL, Seattle, WA; and S. Sandgathe, D. Morison, and N. Lederer

  Recorded presentation
  4:15 PM
1.2
Replacing Missing Data for Ensemble Systems
Tyler C. McCandless, Penn State University, University Park, PA; and S. E. Haupt and G. Young

  Recorded presentation Poster PDF (290.0 kB)
  4:30 PM
1.3
Spatiotemporal field interpolation using artificial neural networks in the Gulf of Maine
François P. Neville, University of Maine, Orono, ME

  Recorded presentation
  4:45 PM
1.4
Expanding the spatial awareness of spatiotemporal relational probability trees to improve the analysis of severe thunderstorm models
David John Gagne II, University of Oklahoma, Norman, OK; and A. McGovern, N. C. Hiers, M. Collier, and R. A. Brown

  Recorded presentation
  5:00 PM
1.5
Cluster analysis of kernel-based principal components
Michael B. Richman, Univ. of Oklahoma, Norman, OK; and I. Adrianto

  Recorded presentation
  5:15 PM
1.6
Comparison of random forest, artificial neural network, and multi-linear regression: a water temperature prediction case
Robyn L. Ball, Texas A&M University, Corpus Christi, TX; and P. Tissot, B. Zimmer, and B. Sterba-Boatwright

  Recorded presentation
See more of: Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences
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