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https://hdl.handle.net/20.500.14279/11897| Τίτλος: | Scientific challenges of convective-scale numerical weather prediction | Συγγραφείς: | Yano, Jun-Ichi Ziemian´ski, Michał Z. Cullen, Mike Termonia, Piet Onvlee, Jeanette Bengtsson, Lisa Carrassi, Alberto Davy, Richard Deluca, Anna Gray, Suzanne L. Homar, Víctor Köhler, Martin Krichak, Simon Michaelides, Silas Phillips, Vaughan T. J. Soares, Pedro M. M. Wyszogrodzki, Andrzej A. |
Major Field of Science: | Natural Sciences | Field Category: | Earth and Related Environmental Sciences | Λέξεις-κλειδιά: | Earth atmosphere;Meteorology;Convective storms;Numerical weather prediction;Numerical weather prediction models;Weather forecasting | Ημερομηνία Έκδοσης: | Απρ-2018 | Πηγή: | Bulletin of the American Meteorological Society, 2018, vol. 99, no. 4, pp. 699-710 | Volume: | 99 | Issue: | 4 | Start page: | 699 | End page: | 710 | Περιοδικό: | Bulletin of the American Meteorological Society | Περίληψη: | Numerical weather prediction models are increasing in resolution and becoming capable of explicitly representing individual convective storms, but we do not yet know if it is the improved resolution that is leading to better forecasts. | ISSN: | 00030007 | DOI: | 10.1175/BAMS-D-17-0125.1 | Rights: | © American Meteorological Society | Type: | Article | Affiliation: | CNRS and Météo-France National Research Institute Met Office Royal Meteorological Institute of Belgium KNMI NOAA/CIRES NERSC Institut Catal de Cincies del Clima University of Reading Universidad de les Islas Baleares DWD Tel Aviv University Cyprus University of Technology Lund University University of Lisbon |
Publication Type: | Peer Reviewed |
| Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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