Joint Session 3 Computational intelligence methods for climate change attribution, characterization, and downscaling

Monday, 24 January 2011: 4:00 PM-5:30 PM
2A (Washington State Convention Center)
Hosts: (Joint between the Ninth Conference on Artificial Intelligence and its Applications to the Environmental Sciences; and the 23rd Conference on Climate Variability and Change )
Cochairs:
Antonello Pasini, CNR, Institute of Atmospheric Pollution Research, Rome and Xuebin Zhang, EC, Climate Research Division, Toronto, ON

Papers:
4:00 PM
J3.1
Climatic attribution via neural network modeling
Antonello Pasini, CNR, Rome, Italy
Recorded Presentation

4:30 PM
J3.2
A data mining algorithm for climate data: application to double ITCZ
Andrew Geiss, NorthWest Research Associates, Redmond, WA; and G. Levy
Recorded Presentation

4:45 PM
J3.3
Predicting Atlantic tropical cyclone activity
Roshanak Nateghi, Johns Hopkins University, Baltimore, MD; and S. M. Quiring, S. D. Guikema, and A. Schumacher

5:00 PM
J3.4
Unsupervised machine learning as a method to identify patterns in regional climate downscaling reanalyses
Jeffrey H. Copeland, NCAR, Boulder, CO; and J. Knievel, F. Vandenberge, and R. Babarsky
Recorded Presentation

5:15 PM
J3.5
Evaluation of STARDEX indices calculated from linear and nonlinear statistical downscaled daily temperatures
Carlos Felipe Gaitan, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh, A. J. Cannon, and P. Gachon
Recorded Presentation

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