High-resolution air quality modeling: Sensitivity tests to horizontal resolution and urban canopy with WRF-CHIMERE

• Published in: Atmospheric environment (1994) 2018-08, Vol.187, p.241-254
• Main Authors: Falasca, Serena, Curci, Gabriele
• Format: Article
• Language: English
• Subjects: Air quality modeling; Emissions reallocation; Horizontal resolution; Italy; Urban parameterizations; WRF-CHIMERE
• ISSN: 1352-2310; 1873-2844
• DOI: 10.1016/j.atmosenv.2018.05.048

The European Directive (2008/50/EC) encourages the use of models in the assessment and forecasting of air quality, and assigns them a supporting or replacing role with respect to fixed ground-based measurements. A thorough knowledge of performance of the modeling tools over urban areas is therefore required. In this study, we analyze sensitivity tests with the WRF-CHIMERE modeling system in order to investigate the effect of (1) the horizontal model grid size, (2) the resolution of the anthropogenic emission inventory, and (3) the introduction of urban canopy models. The work focuses on L'Aquila and Milan, two Italian cities widely differing for the number of inhabitants, the extension and the geographical location. We found a clear advantage in increasing the model resolution up to ∼4 km, but a further increase at ∼1 km resolution does not seem to be justified. Moreover, we found that the ozone simulation is generally degraded at higher resolution. The introduction of a more detailed treatment of the urban canopy and of the anthropogenic emissions suggests the potential for further improvement, but this requires a fine tuning on the area of application. For example, the Building Environment Parameterization corrects the surface wind speed daily cycle, but it also increases the planetary boundary layer height, resulting in excessive dilution of primary pollutants. The anthropogenic emissions should be refined proportionally to the increase in dynamic model resolution, possibly through new bottom-up inventories, rather than through a downscaling of a coarser inventory. We suggest that future work should primarily focus on intensive campaign periods, where a comprehensive observational characterization of the three dimensional structure and evolution of the planetary boundary layer is available. •Model bias decreases with increasing horizontal resolution for PM10, but not for O3.•Advantage is optimal at ∼4 km resolution, no further improvement at ∼1 km.•Use of urban canopy model requires fine tuning over the area of interest.•BEP canopy model corrects the surface wind speed daily cycle.•High-resolution bottom-up anthropogenic emission inventories are desirable.