Fifth Conference on Artificial Intelligence Applications to Environmental Science
19th Conference on Climate Variability and Change

Joint Session 3


Artificial Intelligence and Climate Applications (Joint between 5th Conference on Applications of Artificial Intelligence in the Environmental Sciences and 19th Conference on Climate Variability and Change)

 Cochairs: Antonello Pasini, CNR, Rome Italy; Vladimir M. Krasnopolsky, Univ. of Maryland and SAIC at NOAA/NCEP/EMC, Camp Springs, MD
1:40 PMWelcoming Remarks  
1:45 PMJ3.2Hybrid Numerical Climate and Weather Prediction Models Combining Deterministic and Statistical Learning Model Components (Invited Speaker)  extended abstract wrf recording
Vladimir M. Krasnopolsky, Univ. of Maryland and NOAA/NCEP/EMC/SAIC, Camp Springs, MD; and M. S. Fox-Rabinovitz
2:15 PMJ3.3Accurate and fast neural network emulation of full, long, and short wave, model radiation used for decadal climate simulations with NCAR CAM  extended abstract
Vladimir M. Krasnopolsky, Univ. of Maryland and NOAA/NCEP/EMC/SAIC, Camp Springs, MD; and M. Fox-Rabinovitz and A. Belochitski
2:30 PMJ3.4Predictability in past and future climate conditions: a preliminary analysis by neural networks using unforced and forced Lorenz systems as toy models  extended abstract wrf recording
Antonello Pasini, CNR, Rome, Italy
2:45 PMJ3.5Linking Climatic Variables with Colombian Development Indicators via Inductive Learning Tools  
John Alexander Segura Sr., Hydrosciences Research Group, Bogotá, Colombia; and R. J. Brito, Y. R. Coronel, and N. Obregón
3:00 PMCoffee Break in Exhibit Hall  
3:30 PMJ3.6Nonlinear principal component analysis: A new information criterion for model selection in noisy climate datasets (Invited Speaker)  
William W. Hsieh, Univ. of British Columbia, Vancouver, BC, Canada
4:00 PMJ3.7Robust nonlinear multivariate statistical models for climate analysis  
Alex J. Cannon, MSC, Vancouver, BC, Canada; and W. W. Hsieh
4:15 PMJ3.8Finding interesting climate phenomena by exploratory statistical techniques  extended abstract wrf recording
Alexander Ilin, Helsinki University of Technology, Espoo, Finland; and H. Valpola and E. Oja
4:30 PMJ3.9Multiple imputation through machine learning algorithms  extended abstract wrf recording
Michael B. Richman, Univ. of Oklahoma, Norman, OK; and T. B. Trafalis and I. Adrianto
4:45 PMJ3.10Object-oriented analysis of precipitation systems in NCEP Stage II analyses  
Michael E. Baldwin, Purdue Univ., West Lafayette, IN; and R. J. Trapp

Tuesday, 16 January 2007: 1:40 PM-5:00 PM, 210B

* - Indicates paper has been withdrawn from meeting

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