Abstract
The Weather Research and Forecasting (WRF) model has been used to assess the role of parameterisation applied for the planetary boundary layer (PBL) and surface layer, microphysics and radiation on modelled surface air temperature and wind speed. The best model—measurements agreement, in terms of bias and index of agreement statistics, is found for the combination of Goddard microphysics, Yonsei University PBL and the MM5 similarity surface layer schemes, together with the RRTMG and RRTM options for shortwave and longwave radiation, respectively. With this configuration, the model results meet the benchmark values for bias and index of agreement for air temperature. Finally, we have used two configurations that resulted in the best and the worst performance for the meteorological model WRF to run the WRF-Chem model for high PM10 concentration episode of 05–10.01.2015. The WRF-Chem model performance for PM10 concentration is better if optimal meteorological configuration is applied.
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Bieser J, Aulinger A, Matthias V, Quante M, Denier van der Gon H (2011) Vertical emission profiles for Europe based on plume rise calculations. Environ Pollut 159:2935–2946. doi:10.1016/j.envpol.2011.04.030
Borge R, Alexandrov V, del Vas JJ, Lumbreras J, Rodriguez E (2008) A comprehensive sensitivity analysis of the WRF model for air quality applications over the Iberian Peninsula Atmos. Environ. 42:8560–8574
Emery C, Tai E, Greg Y (2001) Enhanced meteorological modeling and performance evaluation for two Texas Ozone episodes. Report to the Texas Natural Resource Conservation Commission, College Station, TX, USA
Kryza M, Werner M, Dore AJ, Vieno M, Błaś M, Drzeniecka-Osiadacz A, Netzel P (2012) Modelling meteorological conditions for the episode (December 2009) of measured high PM10 air concentrations in SW Poland—application of the WRF model. Int J Environ Pollut 50:41–52
Seaman NL (2000) Meteorological modeling for air-quality assessments. Atmos Environ 34:2231–2259
Skamarock WC, Klemp JB, Dudhia J, Gill DO, Baker DM, Duda MG, Huang X, Wei W, Powers JG (2008) A description of the advanced research WRF version 3. NCAR Technical Note. National Center for Atmospheric Research, Boulder, Colorado, USA
Skjøth CA, Geels C, Berge H, Gyldenkaerne S, Fagerli H, Ellermann T, Frohn LM, Christensen J, Hansen KM, Hansen K, Hertel O (2011) Spatial and temporal variations in ammonia emissions—a freely accessible model code for Europe. Atmos Chem Phys 11:5221–5236
Acknowledgements
The project was supported by the Polish National Science Centre project no. UMO-2013/09/B/ST10/00594. Calculations have been carried out using resources provided by Wroclaw Centre for Networking and Supercomputing (http://wcss.pl), grant No. 170.
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Kryza, M., Guzikowski, J., Werner, M., Szymanowski, M., Wałaszek, K., Dore, A.J. (2018). Sensitivity of the WRF-Chem Modelled Particulate Matter Concentrations to Microphysics, Planetary Boundary Layer and Radiation Schemes: A Case Study for Poland. In: Mensink, C., Kallos, G. (eds) Air Pollution Modeling and its Application XXV. ITM 2016. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-57645-9_21
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DOI: https://doi.org/10.1007/978-3-319-57645-9_21
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