nerc.ac.uk

Application of WRF-Chem to forecasting PM10 concentration over Poland

Werner, Malgorzata; Kryza, Maciej; Ojrzynska, Hanna; Skjoth, Carsten Ambelas; Walaszek, Kinga; Dore, Anthony J.. 2015 Application of WRF-Chem to forecasting PM10 concentration over Poland. International Journal of Environment and Pollution, 58 (4). 280-292. https://doi.org/10.1504/IJEP.2015.077458

Before downloading, please read NORA policies.
[img]
Preview
Text
N514281PP.pdf - Accepted Version

Download (1MB) | Preview

Abstract/Summary

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: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1504/IJEP.2015.077458
UKCEH and CEH Sections/Science Areas: Dise
ISSN: 0957-4352
Additional Keywords: PM10, WRF-Chem, air quality forecasting, air pollution, Poland, planetary boundary layer, particulate matters, meteorological modelling, chemical transport modelling
NORA Subject Terms: Meteorology and Climatology
Atmospheric Sciences
Date made live: 17 Aug 2016 09:01 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/514281

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...