Adaptive parallelization techniques in global weather models
1998; Elsevier BV; Volume: 24; Issue: 8 Linguagem: Inglês
10.1016/s0167-8191(98)00051-9
ISSN1872-7336
AutoresBouchaïb Radi, Jean-François Estrade,
Tópico(s)Distributed and Parallel Computing Systems
ResumoMétéo-France is developing a new code for operational weather forecasting that includes components both for the variational analysis of meteorological observations and for the prediction model itself. So, we need to prepare our code for the new generation of parallel machines. The parallel version of Météo-France code ARPEGE (Action de Recherche Petite Echelle Grande Echelle) uses spectral computations for the dynamic. For the spectral part, we use the strategy developed at ECMWF (European Centre of Medium-Range Weather Forecasts). The full physics scheme and some options of the semi-Lagrangian are specific to our use of ARPEGE. In this paper, we present the different strategies used for the parallelization of Météo-France forecasting code ARPEGE using the semi-Lagrangian scheme.
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