The AROME-France Convective-Scale Operational Model

2010/10/22 by Yann Seity, Y. Seity, Pierre Brousseau +13 · 1,073 citations
Earth and Planetary Sciences · Environmental Science · #Cartography #Climate variability and models #Climatology #Computer science #Convection #Data assimilation #Environmental science #Geography #Geology #Mesoscale meteorology #Meteorological Phenomena and Simulations #Meteorology #Numerical weather prediction #Scale (ratio) #Wind and Air Flow Studies

paper · pdf · doi:10.1175/2010mwr3425.1

published in Monthly Weather Review 139(3), 976-991 (American Meteorological Society)

openalex publication_date 2010/10/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04

Abstract

Abstract After six years of scientific, technical developments and meteorological validation, the Application of Research to Operations at Mesoscale (AROME-France) convective-scale model became operational at Météo-France at the end of 2008. This paper presents the main characteristics of this new numerical weather prediction system: the nonhydrostatic dynamical model core, detailed moist physics, and the associated three-dimensional variational data assimilation (3D-Var) scheme. Dynamics options settings and variables are explained. The physical parameterizations are depicted as well as their mutual interactions. The scale-specific features of the 3D-Var scheme are shown. The performance of the forecast model is evaluated using objective scores and case studies that highlight its benefits and weaknesses.

Citations

• Some numerical experiments with variable-storage quasi-Newton algorithms

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