Trends in the predictive performance of raw ensemble weather forecasts

Author:

Hemri S.12,Scheuerer M.3,Pappenberger F.245,Bogner K.26,Haiden T.2

Affiliation:

1. Heidelberg Institute for Theoretical Studies (HITS); Heidelberg Germany

2. European Centre for Medium-Range Weather Forecasts (ECMWF); Reading UK

3. Physical Sciences Division; NOAA/ESRL; Boulder Colorado USA

4. College of Hydrology and Water Resources; Hohai University; Nanjing China

5. School of Geographical Sciences; University of Bristol; Bristol UK

6. Swiss Federal Institute for Forest; Snow and Landscape Research (WSL); Birmensdorf Switzerland

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Reference33 articles.

1. The THORPEX Interactive Grand Global Ensemble;Bougeault;Bull. Am. Meteorol. Soc.,2010

2. Impact of model resolution and ensemble size on the performance of an ensemble prediction system;Buizza;Q. J. R. Meteorol. Soc.,1998

3. The new ECMWF VAREPS (Variable Resolution Ensemble Prediction System);Buizza;Q. J. R. Meteorol. Soc.,2007

4. Maximum likelihood from incomplete data via the EM algorithm;Dempster;J. R. Stat. Soc.,1977

5. On the effect of ensemble size on the discrete and continuous ranked probability scores;Ferro;Meteorol. Appl.,2008

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