53 Sensitivity of Atmospheric Composition Mesoscale …
341
53.4 Conclusions
This study using the WRF-Chem models shows a reasonable agreement between
computed and observed surface O 3, CO, BC, OC and SO
2−
4 concentrations in both stations in the East Mediterranean with available data; while the model shows lower performance for NO 2 and NO 3
− . Increases in the horizontal resolution of the model lead
to improvements in the model performance, which is most noticeable for aerosols.
Meteorological input of higher resolution seems to improve the simulations of both
atmospheric transport and chemical composition. Use of different chemical boundary
conditions (model results from TM4-ECPL instead of MOZART-4 ) also improves
the correlation with observations, in particular for ozone and OC, and shows the large
sensitivity of the model results to this input.
References
1. B.J. Bloomer, J.W. Stehr, C.A. Piety, R.J. Salawitch, Observed relationships of ozone air pollution with temperature and emissions. Geophys. Res. Lett. 36, L09803 (2009). https://doi.org/
10.1029/2009GL037308
2. L. Camalier, W. Cox, P. Dolwick, The effects of meteorology on ozone in urban areas and their
use in assessing ozone trends. Atmos. Environ. 41, 7127–7137 (2007)
3. L.K. Emmons et al., Description and evaluation of the model for ozone and related chemical
Tracers, version 4 (MOZART-4). Geosci. Model Dev. 3, 43–67 (2010)
4. G.A. Grell et al., Fully coupled “online” chemistry within the WRF model. Atmos. Environ. 39,
6957–6975 (2005). https://doi.org/10.5194/acp-14-10119-2014
5. U. Im et al., The impact of temperature changes on summer time ozone and its precursors in the
Eastern Mediterranean. Atmos. Chem. Phys. 11, 3847–3864 (2011)
6. M. Kanakidou et al., Megacities as hot spots of air pollution in the East Mediterranean Atmospheric Environment (2011). https://doi.org/10.1016/j.atmosenv.2010.11.048
7. N. Daskalakis et al., Large gain in air quality compared to an alternative anthropogenic emissions
scenario. Atmos. Chem. Phys. 16, 9771–9784 (2016). https://doi.org/10.5194/acp-16-9771-2016
341
53.4 Conclusions
This study using the WRF-Chem models shows a reasonable agreement between
computed and observed surface O 3, CO, BC, OC and SO
2−
4 concentrations in both stations in the East Mediterranean with available data; while the model shows lower performance for NO 2 and NO 3
− . Increases in the horizontal resolution of the model lead
to improvements in the model performance, which is most noticeable for aerosols.
Meteorological input of higher resolution seems to improve the simulations of both
atmospheric transport and chemical composition. Use of different chemical boundary
conditions (model results from TM4-ECPL instead of MOZART-4 ) also improves
the correlation with observations, in particular for ozone and OC, and shows the large
sensitivity of the model results to this input.
References
1. B.J. Bloomer, J.W. Stehr, C.A. Piety, R.J. Salawitch, Observed relationships of ozone air pollution with temperature and emissions. Geophys. Res. Lett. 36, L09803 (2009). https://doi.org/
10.1029/2009GL037308
2. L. Camalier, W. Cox, P. Dolwick, The effects of meteorology on ozone in urban areas and their
use in assessing ozone trends. Atmos. Environ. 41, 7127–7137 (2007)
3. L.K. Emmons et al., Description and evaluation of the model for ozone and related chemical
Tracers, version 4 (MOZART-4). Geosci. Model Dev. 3, 43–67 (2010)
4. G.A. Grell et al., Fully coupled “online” chemistry within the WRF model. Atmos. Environ. 39,
6957–6975 (2005). https://doi.org/10.5194/acp-14-10119-2014
5. U. Im et al., The impact of temperature changes on summer time ozone and its precursors in the
Eastern Mediterranean. Atmos. Chem. Phys. 11, 3847–3864 (2011)
6. M. Kanakidou et al., Megacities as hot spots of air pollution in the East Mediterranean Atmospheric Environment (2011). https://doi.org/10.1016/j.atmosenv.2010.11.048
7. N. Daskalakis et al., Large gain in air quality compared to an alternative anthropogenic emissions
scenario. Atmos. Chem. Phys. 16, 9771–9784 (2016). https://doi.org/10.5194/acp-16-9771-2016
