Meso-NH is the non-hydrostatic mesoscale atmospheric model of the French research community. It has been jointly developed by the Laboratoire d’Aérologie (UMR 5560 UPS/CNRS) and by CNRM-GAME (UMR 3589 CNRS/Météo-France). Meso-NH:
- Incorporates a non-hydrostatic system of equations, for dealing all scales ranging from large (synoptic) to small (large eddy) scales while calculating budgets;
- Has a complete set of physical parameterizations, particularly advanced for the representation of clouds and precipitation;
- Is coupled to the surface model SURFEX for representing the ground atmosphere interactions by considering different surface types (vegetation, city, ocean, lake);
- Allows for a multi-scale approach through a grid-nesting technique;
- Is a versatile code, vectorized, parallelized, operating in 1D, 2D or 3D designed to handle real situations as well as academic cases;
- Is coupled with a chemistry module (including gas-phase, aerosol, and aqua-phase components) and a lightning module;
- Has observation operators that compare directly model output with satellite observations, radar, lidar and GPS.
ESIAS-Chem is a tool for generating and controlling ultra-large ensembles of chemistry transport models for stochastic integration, exploiting a two-level parallelism, combined with a particle filter data assimilation scheme.
ESIAS-Meteo is a tool for generating and controlling ultra-large ensembles of numerical weather forecast models for stochastic integration, exploiting a two-level parallelism, combined with a particle filter data assimilation scheme.
EURAD-IM system consists of 5 major parts: the meteorological driver WRF, the pre-processors EEP and PREP for preparation of anthropogenic emission data and observations, the EURAD-IM Emission Model EEM, and the chemistry transport model EURAD-IM (Hass et al., 1995, Memmesheimer et al., 2004). EURAD-IM is a Eulerian meso-scale chemistry transport model involving advection, diffusion, chemical transformation, wet and dry deposition and sedimentation of tropospheric trace gases and aerosols. It includes 3d-var and 4d-var chemical data assimilation (Elbern et al., 2007) and is able to run in nesting mode.