87th AMS Annual Meeting

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)

Tuesday, 16 January 2007: 1:40 PM-5:00 PM
210B (Henry B. Gonzalez Convention Center)
Cochairs:  Antonello Pasini, CNR and Vladimir M. Krasnopolsky, Univ. of Maryland and SAIC at NOAA/NCEP/EMC
  1:40 PM
Welcoming Remarks

  2:15 PM
Accurate and fast neural network emulation of full, long, and short wave, model radiation used for decadal climate simulations with NCAR CAM
Vladimir M. Krasnopolsky, Univ. of Maryland and NOAA/NCEP/EMC/SAIC, Camp Springs, MD; and M. Fox-Rabinovitz and A. Belochitski

Poster PDF (34.6 kB)
  2:45 PM
Linking 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 PM
Coffee Break in Exhibit Hall

  4:00 PM
Robust nonlinear multivariate statistical models for climate analysis
Alex J. Cannon, Meteorological Service of Canada, Vancouver, BC, Canada; and W. W. Hsieh

  4:15 PM
Finding interesting climate phenomena by exploratory statistical techniques
Alexander Ilin, Helsinki University of Technology, Espoo, Finland; and H. Valpola and E. Oja


  4:30 PM
Multiple imputation through machine learning algorithms
Michael B. Richman, Univ. of Oklahoma, Norman, OK; and T. B. Trafalis and I. Adrianto

  4:45 PM
Object-oriented analysis of precipitation systems in NCEP Stage II analyses
Michael E. Baldwin, Purdue Univ., West Lafayette, IN; and R. J. Trapp