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Applications of Artificial Intelligence Methods to Problems in Environmental Science: Part I

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Tuesday, 19 January 2010: 1:30 PM-3:00 PM
B204 (GWCC)
Host: 8th Conference on Artificial Intelligence Applications to Environmental Science
Chair:  Michael Richman, School of Meteorology, CIMMS/Univ. of Oklahoma, Norman, OK

Papers:
  1:30 PM
1.1
Development of neural network convection parameterizations for climate models using CRM simulations and ARM data
Vladimir M. Krasnopolsky, IMSG at NCEP/NWS/NOAA, Camp Springs, MD; and M. S. Fox-Rabinovitz, P. Rasch, Y. Kogan, and A. Belochitski

  2:00 PM
1.2
Data assimilation through machine learning methods
Robin C. Gilbert, University of Oklahoma, Norman, OK; and M. Richman, L. M. Leslie, and X. Wang
Recorded presentation

  2:15 PM
1.3
Linear and nonlinear postprocessing of ensemble forecasts
Ranran Wang, University of Washington, Seattle, WA; and C. Marzban
Recorded presentation

Presentation PDF (335.3 kB)

  2:30 PM
1.4
Improving snowfall accumulation predictions by post-processing ensemble forecasts with an Artificial Neural Network
Tyler C. McCandless, Penn State University, University Park, PA; and S. E. Haupt and G. Young
Recorded presentation

Presentation PDF (267.8 kB)

  2:45 PM
1.5
Optimization of neural network performances by means of exogenous input variables for the forecast of ozone pollutant in Rome urban area
Armando Pelliccioni, ISPESL, Monteporzio Catone, Italy; and F. Pungi, S. Lucidi, and V. La Torre
Recorded presentation

Presentation PDF (243.2 kB)

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