| | J1.15 | Uncertainty in meso-scale meteorological model output and its relation to ensemble forecast Dingchen Hou, George Mason University, Fairfax, VA; and S. R. Hanna |
| 2:29 PM | J1.16 | Synoptic interpretation of adjoint-derived forecast sensitivities Daryl T. Kleist, University of Wisconsin, Madison, WI; and M. C. Morgan |
| 2:44 PM | J1.17 | Simplified Short Term Precipitation Ensemble Forecasts: Theory Hank Herr, NOAA/NWS, Silver Spring, MD; and E. Welles, M. Mullusky, L. Wu, and J. Schaake |
| 2:59 PM | J1.18 | How Well Can Ensemble Perturbations Explain Forecast Errors? Mozheng Wei, NOAA/NWS/NCEP, UCAR Visiting Scientist, Camp Springs, MD; and Z. Toth |
| 3:14 PM | J1.19 | Evaluation of a Mesoscale Short-Range Ensemble Forecasting System over the Pacific Northwest Eric Grimit, University of Washington, Seattle, WA; and C. F. Mass |
| 3:29 PM | | Coffee Break in Exhibit Hall
|
| 3:59 PM | J1.20 | Ensemble canonical correlation prediction of seasonal precipitation over the United States: raising the bar for dynamical model forecasts William K. M. Lau, NASA/GSFC, Greenbelt, MD; and K. M. Kim and S. S. P. Shen |
| 4:14 PM | J1.21 | Historical Seasonal Forecasts with a Simple GCM Hai Lin, McGill University, Montreal, PQ, Canada; and J. Derome and G. Brunet |
| 4:29 PM | J1.22 | Stochastic forecast models for nonlinear deterministic systems Leonard A. Smith, Centre for the Analysis of Time Series, London, United Kingdom; and K. Judd |
| 4:44 PM | J1.23 | The value of perfection James A. Hansen, MIT, Cambridge, MA; and L. A. Smith, J. von Hardenberg, and C. E. Forest |
| 4:59 PM | J1.24 | The Kalman-LÉvy filtering: Sequential assimilation methodology for power law and LÉvy law noises Kayo Ide, University of California, Los Angeles, CA; and D. Sornette |