Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences
    

Session 3

 Forecasting Contest
 Chair: Michael B. Richman, Univ. of Oklahoma, Norman, OK
3:30 PM3.1Polarimetric Radar and validation data for the 2008 artificial intelligence competition  extended abstract wrf recording
Kimberly L. Elmore, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and M. B. Richman
3:45 PM3.2Probabilistic hedging of the True Skill Statistic  extended abstract
Neil Gordon, Meteorological Service of New Zealand, Kelburn, Wellington, New Zealand; and D. Kilminster and A. Ziegler
4:00 PM3.3Application of Neural Net Models to Classify and to Forecast the Observed Precipitation Type at the Ground using the Artificial Intelligence Competition Data Set  extended abstract wrf recording
Armando Pelliccioni, ISPESL, Monteporzio Catone, Italy; and R. Cotroneo and F. Pungi
4:15 PM3.4Regime Dependent Precipitation Type Forecasting  extended abstract wrf recording
Tyler C. McCandless, Penn State University, University Park, PA
4:30 PM3.5Employing stratified data mining models  extended abstract wrf recording
Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK
4:45 PM3.6The effects of data issues and skill scores in creating predictive models  extended abstract wrf recording
Matthew J. Pocernich, NCAR, Boulder, CO
5:00 PM3.7Ensemble classifier for winter storm precipitation in polarimetric radar data  extended abstract wrf recording
Emmanuel Goossaert, University of Oklahoma, Norman, OK; and R. Alam
5:15 PM3.8Comparison of support vector machines and minimax probability machines for precipitation prediction  extended abstract wrf recording
Stephen Sullivan, UCAR, Boulder, CO

Tuesday, 13 January 2009: 3:30 PM-5:30 PM, Room 125A

* - Indicates paper has been withdrawn from meeting

Browse or search the entire meeting