Session 6 Statistical Postprocessing of Ensemble Forecasts Part 1

Tuesday, 12 January 2016: 1:30 PM-3:00 PM
Room 226/227 ( New Orleans Ernest N. Morial Convention Center)
Host: 23rd Conference on Probability and Statistics in the Atmospheric Sciences
Daniel S. Wilks, Cornell University, Ithaca, NY

Ensemble postprocessing methods

2:00 PM
A Comparative Study of Statistical Post-processing Methods for the Calibration of Ensemble Forecasts
Nina Schuhen, Met Office, Exeter, United Kingdom; and P. Buchanan, G. Evans, and S. Jackson

2:15 PM
Inclusion of New Ensemble Probabilistic Forecasts to NAEFS
Bo Cui, IMSG at EMC/NCEP, College Park, MD; and Y. Zhu, H. Guan, and W. Meng
2:30 PM
Improvement of Multi-model Ensemble Forecasting using Recursive Bayesian Model Process
Hong Guan, Systems Research Group Inc./EMC/NCEP/NOAA, College Park, MD; and J. Zhu and B. Cui
2:45 PM
Consensus Forecasting using Constrained, Regularized Regression
John K. Williams, The Weather Company, an IBM Business, Andover, MA; and P. P. Neilley, J. P. Koval, and J. McDonald
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner