Proceedings of the Harmo10 Conference pages:322-326
international Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory purposes edition:10
Because of the importance of meteorology to air quality, meteorological fields produced by mesoscale models require a proper validation before use in air quality modeling. These models need numerous input data, with a deciding role not only for the quality of the data, but also for the spatial and temporal resolution. Simulations with meteorological models optimize the spatial and temporal resolution needed for air quality and chemistry-transport models. Therefore, a validation of meteorological parameters and energy fluxes is of great concern.
From that perspective, the Atmospheric Regional Prediction System (ARPS), a non-hydrostatic mesoscale meteorological model, is run for the Marseille-Berre Pond region (France). The ARPS model is run at a spatial and temporal resolution of 1km and 1h respectively and its performance is mainly validated with observations of temperature, wind speed and direction and vapour pressure collected during the ESCOMPTE (Expérience sur Site pour COntaindre les Modèles de Pollution atmospherique et de Transport d’Emissions) campaign (Cros et al., 2004) (Figure 1). Field measurements are described, followed by a description of the mesoscale model ARPS. The next section compares the model results with the measurements. The last section deals with sensitivity tests describing the influence of increasing sea surface temperature on mesoscale meteorological model outputs.