89th American Meteorological Society Annual Meeting

Session 3: Forecasting Contest

Tuesday, 13 January 2009: 3:30 PM-5:30 PM
Room 125A (Phoenix Convention Center)
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Chair:  Michael B. Richman, Univ. of Oklahoma
Papers:
  3:30 PM
3.1
Polarimetric Radar and validation data for the 2008 artificial intelligence competition
Kimberly L. Elmore, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and M. B. Richman

  Recorded presentation Poster PDF (33.0 kB)
  3:45 PM
3.2
Probabilistic hedging of the True Skill Statistic
Neil Gordon, Meteorological Service of New Zealand, Kelburn, Wellington, New Zealand; and D. Kilminster and A. Ziegler

Poster PDF (269.3 kB)
  4:00 PM
3.3
Application of Neural Net Models to Classify and to Forecast the Observed Precipitation Type at the Ground using the Artificial Intelligence Competition Data Set
Armando Pelliccioni, ISPESL, Monteporzio Catone, Italy; and R. Cotroneo Jr. and F. Pungi

  Recorded presentation Poster PDF (64.5 kB)
  4:15 PM
3.4
Regime Dependent Precipitation Type Forecasting
Tyler C. McCandless, Penn State University, University Park, PA

  Recorded presentation Poster PDF (116.1 kB)
  4:30 PM
3.5
Employing stratified data mining models
Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK

  Recorded presentation Poster PDF (65.5 kB)
  4:45 PM
3.6
The effects of data issues and skill scores in creating predictive models
Matthew J. Pocernich, NCAR, Boulder, CO

  Recorded presentation Poster PDF (2.4 MB)
  5:00 PM
3.7
Ensemble classifier for winter storm precipitation in polarimetric radar data
Emmanuel Goossaert, University of Oklahoma, Norman, OK; and R. Alam

  Recorded presentation Poster PDF (72.3 kB)
  5:15 PM
3.8
Comparison of support vector machines and minimax probability machines for precipitation prediction
Stephen Sullivan, UCAR, Boulder, CO

  Recorded presentation Poster PDF (337.5 kB)
See more of: Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences
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