Coupling WRF and CALMET Models: Validation During Primary Pollutants glc Episodes in an Atlantic Coastal Region

摘要

The application of Lagrangian dispersion models, as CALPUFF, at local scales requires as input accurate and very high resolution meteorological fields. In these high resolution applications, the computational cost of numerical weather forecast models, as WRF, recommends the steady-state nesting of a diagnostic model, as CALMET, in order to properly consider the influence of land use and terrain topography over complex terrain domains. In this work, CALMET diagnostic model is nested to different WRF model simulations over a complex terrain and coastal domain around As Pontes Power Plant during three different periods when some primary pollutants glc peaks were detected. Different horizontal resolutions for the WRF simulations were considered as data input to CALMET. For the meteorological models validation and intercomparison, temperature, wind speed and wind direction statistics were obtained by comparison against measurements from surface meteorological stations located in the domain.