✦ LIBER ✦

Adaptive parallelization techniques in global weather models

✍ Scribed by Bouchaib Radi; Jean-Francois Estrade

Publisher: Elsevier Science
Year: 1998
Tongue: English
Weight: 282 KB
Volume: 24
Category: Article
ISSN: 0167-8191
DOI: 10.1016/s0167-8191(98)00051-9

No coin nor oath required. For personal study only.

✦ Synopsis

M et eo-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 M et eo-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 speci®c to our use of ARPEGE. In this paper, we present the dierent strategies used for the parallelization of M et eo-France forecasting code ARPEGE using the semi-Lagrangian scheme.

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