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)
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Cochairs:  William W. Hsieh, Univ. of British Columbia and Sue Ellen Haupt, Penn State Univ.
Papers:
  8:30 AM
J2.1
(Invited Speaker) Using Neural Networks in Numerical Climate and Weather Forecast Systems
Vladimir M. Krasnopolsky, NCEP/NWS/NOAA (SAIC), Camp Springs, MD

  Recorded presentation
  8:45 AM
J2.2
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

  Recorded presentation
  9:00 AM
J2.3
Major Influences of Circulation Patterns on Temperatures in the Italian Side of the Greater Alpine Region: an Investigation via Neural Network Modeling
Antonello Pasini, CNR, Rome, Italy; and R. Langone

  Recorded presentation Poster PDF (234.2 kB)
  9:15 AM
J2.4
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

  Recorded presentation
  9:30 AM
J2.5
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

  Recorded presentation
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