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
Chair:
Daniel S. Wilks, Cornell University, Ithaca, NY

Ensemble postprocessing methods

Papers:
1:30 PM
6.1
Statistical Post-processing of Ensemble Forecasts: Recent Developments and Current Issues (Invited Presentation)
Michael Scheuerer, NOAA, Boulder, CO
Recorded Presentation

2:00 PM
6.2
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
6.3
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
Recorded Presentation

2:30 PM
6.4
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
Recorded Presentation

2:45 PM
6.5
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
Recorded Presentation

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