Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/11897
Title: Scientific challenges of convective-scale numerical weather prediction
Authors: 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
Keywords: Earth atmosphere;Meteorology;Convective storms;Numerical weather prediction;Numerical weather prediction models;Weather forecasting
Issue Date: Apr-2018
Source: Bulletin of the American Meteorological Society, 2018, vol. 99, no. 4, pp. 699-710
Volume: 99
Issue: 4
Start page: 699
End page: 710
Journal: Bulletin of the American Meteorological Society 
Abstract: 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: 0003-0007
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 
University of Lund 
Universidade de Lisboa 
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