University of Worcester Worcester Research and Publications

Application of WRF-Chem to Forecasting PM10 Concentration Over Poland

Werner, Malgorzata, Kryza, M., Ojrzyńska, H., Skjøth, C. ORCID:, Wałaszek, K. and Dore, A.J. (2015) Application of WRF-Chem to Forecasting PM10 Concentration Over Poland. International Journal of Environment and Pollution, 58 (4). pp. 280-292. ISSN Print: 0957-4352 Online: 0957-4352

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The meteorological and chemical transport model WRF-Chem was
implemented to forecast PM10 concentrations over Poland. WRF-Chem
version 3.5 was configured with three one-way nested domains using the GFS
meteorological data and the TNO MACC II emissions. The 48 hour forecasts
were run for each day of the winter and summer period of 2014 and there is
only a small decrease in model performance for winter with respect to forecast
lead time. The model in general captures the variability in observed PM10
concentrations for most of the stations. However, for some locations and
specific episodes, the model performance is poor and the results cannot yet be
used by official authorities. We argue that a higher resolution sector-based
emission data will be helpful for this analysis in connection with a focus on
planetary boundary layer processes in WRF-Chem and their impact on the
initial distribution of emissions on both time and space.

Item Type: Article
Additional Information:

This paper is a revised and expanded version of a paper entitled ‘Application of WRF-Chem to forecasting PM10 concentration over Poland’ presented at the 16th International Conference on Harmonisation within
Atmospheric Dispersion Modelling for Regulatory Purposes, Varna, Bulgaria, 8–11 September 2014.

Uncontrolled Discrete Keywords: PM10, WRF-Chem, air quality forecast, Poland, National Pollen and Aerobiology Research Unit, NPARU
Subjects: Q Science > Q Science (General)
Divisions: College of Health, Life and Environmental Sciences > School of Science and the Environment
Related URLs:
Depositing User: Janet Davidson
Date Deposited: 30 Jun 2016 12:54
Last Modified: 17 Jun 2020 17:11

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