Please use this identifier to cite or link to this item: http://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. 
Keywords: Earth atmosphere;Meteorology;Convective storms;Numerical weather prediction;Numerical weather prediction models;Weather forecasting
Category: Earth and Related Environmental Sciences
Field: Natural Sciences
Issue Date: Apr-2018
Publisher: American Meteorological Society
Source: Bulletin of the American Meteorological Society, 2018, Volume 99, Issue 4, Pages 699-710
metadata.dc.doi: https://doi.org/10.1175/BAMS-D-17-0125.1
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.
URI: http://ktisis.cut.ac.cy/handle/10488/11897
ISSN: 00030007
Rights: © 2018 American Meteorological Society.
Type: Article
Appears in Collections:Άρθρα/Articles

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