89th American Meteorological Society Annual Meeting

Joint Session 2: Applications of artificial learning techniques in climate variability, especially as it relates to the urban environment

Wednesday, 14 January 2009: 8:30 AM-10:00 AM
Room 125A (Phoenix Convention Center)
Cochairs:  William W. Hsieh, Univ. of British Columbia and Sue Ellen Haupt, Penn State Univ.
Papers:
  8:30 AM
  8:45 AM
Fast neural network emulations of long wave radiation for the NCEP Climate Forecast System Model: seasonal prediction and climate simulation
Vladimir M. Krasnopolsky, NCEP/NWS/NOAA (SAIC), Camp Springs, MD; and M. S. Fox-Rabinovitz, S. J. Lord, Y. T. Hou, and A. A. Belochitski

  9:15 AM
Statistical seasonal prediction of extreme precipitation in winter over Canada
Zhen Zeng, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh and A. Shabbar

  9:30 AM
Post-processing GCM forecasts of seasonal extreme climate using machine learning methods
Joel Finnis, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh, Z. Zeng, A. Shabbar, W. Merryfield, and H. Lin