21st Conference on Climate Variability and Change
Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences
    

Joint Session 2

 Applications of artificial learning techniques in climate variability, especially as it relates to the urban environment (Joint between the 21st Conference on Climate Variability and Change and the Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences)
 Cochairs: William W. Hsieh, Univ. of British Columbia, Vancouver, BC Canada; Sue Ellen Haupt, Penn State Univ., University Park, PA
8:30 AMJ2.1(Invited Speaker) Using Neural Networks in Numerical Climate and Weather Forecast Systems   wrf recording
Vladimir M. Krasnopolsky, NCEP/NWS/NOAA (SAIC), Camp Springs, MD
8:45 AMJ2.2Fast neural network emulations of long wave radiation for the NCEP Climate Forecast System Model: seasonal prediction and climate simulation   wrf recording
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
9:00 AMJ2.3Major Influences of Circulation Patterns on Temperatures in the Italian Side of the Greater Alpine Region: an Investigation via Neural Network Modeling  extended abstract wrf recording
Antonello Pasini, CNR, Rome, Italy; and R. Langone
9:15 AMJ2.4Statistical seasonal prediction of extreme precipitation in winter over Canada   wrf recording
Zhen Zeng, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh and A. Shabbar
9:30 AMJ2.5Post-processing GCM forecasts of seasonal extreme climate using machine learning methods   wrf recording
Joel Finnis, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh, Z. Zeng, A. Shabbar, W. Merryfield, and H. Lin

Wednesday, 14 January 2009: 8:30 AM-10:00 AM, Room 125A

* - Indicates paper has been withdrawn from meeting

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