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Orals NP5.3/AS1.2/HS4.8

NP5.3/AS1.2/HS4.8

Advances in statistical post-processing for deterministic and ensemble forecasts (co-organized)
Convener: Stéphane Vannitsem  | Co-Conveners: Jakob W. Messner , Daniel S. Wilks 
Orals
 / Thu, 27 Apr, 08:30–10:00  / Room M2
Posters
 / Attendance Thu, 27 Apr, 17:30–19:00  / Hall X4

Thursday, 27 April 2017
Room M2
08:30–08:45
EGU2017-3739
Development of a post-processing methodology for reliable, skillful probabilistic quantitative precipitation forecasts with multi-model ensembles and short training data sets. (solicited)
Thomas M. Hamill and Michael Scheuerer
08:45–09:00
EGU2017-2489
Multivariate Statistical Postprocessing of Ensemble Forcasts of Precipitation and Temperature over four River Basins in California
Michael Scheuerer, Thomas M. Hamill, Brett Whitin, Minxue He, and Arthur Henkel
09:00–09:15
EGU2017-14552
Statistical post-processing of seasonal multi-model forecasts: Why is it so hard to beat the multi-model mean?
Stefan Siegert
09:15–09:30
EGU2017-5596
Probabilistic forecasts of extreme local precipitation using HARMONIE predictors and comparing 3 different post-processing methods
Kirien Whan and Maurice Schmeits
09:30–09:45
EGU2017-5573
Estimation Methods for Non-Homogeneous Regression – Minimum CRPS vs Maximum Likelihood
Manuel Gebetsberger, Jakob W. Messner, Georg J. Mayr, and Achim Zeileis
09:45–10:00
EGU2017-11237
Improving medium-range ensemble streamflow forecasts through statistical post-processing
Pablo Mendoza, Andy Wood, Elizabeth Clark, Bart Nijssen, Martyn Clark, Maria-Helena Ramos, Kenneth Nowak, and Jeffrey Arnold