Session 1 |
| | Applications of Artificial Intelligence Methods to Problems in Environmental Science: Part I |
| | Chair: Michael Richman, CIMMS/Univ. of Oklahoma, Norman, OK
|
| 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 |
| 2:15 PM | 1.3 | Linear and nonlinear postprocessing of ensemble forecasts 
Ranran Wang, University of Washington, Seattle, WA; and C. Marzban |
| 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 |
| 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 |