Ensemble dispersion forecasting—Part I: concept, approach and indicators
✍ Scribed by S. Galmarini; R. Bianconi; W. Klug; T. Mikkelsen; R. Addis; S. Andronopoulos; P. Astrup; A. Baklanov; J. Bartniki; J.C. Bartzis; R. Bellasio; F. Bompay; R. Buckley; M. Bouzom; H. Champion; R. D’Amours; E. Davakis; H. Eleveld; G.T. Geertsema; H. Glaab; M. Kollax; M. Ilvonen; A. Manning; U. Pechinger; C. Persson; E. Polreich; S. Potemski; M. Prodanova; J. Saltbones; H. Slaper; M.A. Sofiev; D. Syrakov; J.H. Sørensen; L.Van der Auwera; I. Valkama; R. Zelazny
- Book ID
- 113475724
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 927 KB
- Volume
- 38
- Category
- Article
- ISSN
- 1352-2310
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## Abstract Different techniques for obtaining probabilistic quantitative precipitation forecasts (PQPFs) over South America are tested during the 2002–2003 warm season. They have been applied to a regional ensemble system which uses the breeding technique to generate initial and boundary condition