Symposium on Observations, Data Assimilation, and Probabilistic Prediction
16th Conference on Probability and Statistics in the Atmospheric Sciences
    

Joint Session 1

 Ensemble Forecasting and Predictability: Continued (Joint with the Symposium on Observations, Data Assimilation, and Probabilistic Prediction and 16th Conference on Probability and Statistics)
 Organizer: Brian Farrell, Harvard Univ., Cambridge, MA
2:00 PMJ1.13Sequential Estimation of Regime Transitions (Invited Presentation)  
Michael Ghil, University of California, Los Angeles, CA
2:15 PMJ1.14Limited Area Predictability: What Skill additional to that of the Global Model can be achieved, and for how long?  
Fedor Mesinger, NOAA/NWS/NCEP/EMC and UCAR, Camp Springs, MD; and K. Brill, H. Chuang, G. DiMego, and E. Rogers
J1.15Uncertainty 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 PMJ1.16Synoptic interpretation of adjoint-derived forecast sensitivities  extended abstract
Daryl T. Kleist, University of Wisconsin, Madison, WI; and M. C. Morgan
2:44 PMJ1.17Simplified Short Term Precipitation Ensemble Forecasts: Theory  extended abstract
Hank Herr, NOAA/NWS, Silver Spring, MD; and E. Welles, M. Mullusky, L. Wu, and J. Schaake
2:59 PMJ1.18How Well Can Ensemble Perturbations Explain Forecast Errors?  extended abstract
Mozheng Wei, NOAA/NWS/NCEP, UCAR Visiting Scientist, Camp Springs, MD; and Z. Toth
3:14 PMJ1.19Evaluation 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 PMCoffee Break in Exhibit Hall  
3:59 PMJ1.20Ensemble 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 PMJ1.21Historical Seasonal Forecasts with a Simple GCM  extended abstract
Hai Lin, McGill University, Montreal, PQ, Canada; and J. Derome and G. Brunet
4:29 PMJ1.22Stochastic forecast models for nonlinear deterministic systems  
Leonard A. Smith, Centre for the Analysis of Time Series, London, United Kingdom; and K. Judd
4:44 PMJ1.23The value of perfection  
James A. Hansen, MIT, Cambridge, MA; and L. A. Smith, J. von Hardenberg, and C. E. Forest
4:59 PMJ1.24The Kalman-LÉvy filtering: Sequential assimilation methodology for power law and LÉvy law noises  extended abstract
Kayo Ide, University of California, Los Angeles, CA; and D. Sornette

Tuesday, 15 January 2002: 2:00 PM-5:14 PM

* - Indicates paper has been withdrawn from meeting

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