Evaluation of a CMAQ simulation at high resolution over the UK for the calendar year 2003

Evaluation of a CMAQ simulation at high resolution over the UK for the calendar year 2003

A comprehensive ‘operational’ evaluation of the performance of the Community Multiscale Air Quality ( CMAQ) modelling system version 4.6 was conducted in support of pollution assessment in the UK for the calendar year 2003. The model was run on multiple grids using one-way nests down to a horizontal...

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Bibliographic Details
Published in:Atmospheric environment (1994) Vol. 44; no. 24; pp. 2927 - 2939
Main Authors: Chemel, C., Sokhi, R.S., Yu, Y., Hayman, G.D., Vincent, K.J., Dore, A.J., Tang, Y.S., Prain, H.D., Fisher, B.E.A.
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01-08-2010
Elsevier
Subjects:
Air quality
Analysis methods
Applied sciences
Atmospheric pollution
Evaluation
Exact sciences and technology
Model performance
Numerical simulation
Pollution
United Kingdom
Europe
British Isles
Evaluation
Air quality
Numerical simulation
Model performance
Performance evaluation
High resolution
Observational network
Air pollution
Measuring network
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Summary:A comprehensive ‘operational’ evaluation of the performance of the Community Multiscale Air Quality ( CMAQ) modelling system version 4.6 was conducted in support of pollution assessment in the UK for the calendar year 2003. The model was run on multiple grids using one-way nests down to a horizontal resolution as fine as 5 km over the whole of the UK. The model performance was evaluated for pollutants with standards and limit values ( e.g. O 3, PM 10) and species contributing to acidic and nitrogenous deposition ( e.g. NH 3, SO 4 2–, NO 3 –, NH 4 +) against data from operational national monitoring networks. The key performance characteristics of the modelling system were found to be variable according to acceptance criteria and to depend on the type ( e.g. urban, rural) and location of the sites, as well as on the time of the year. As regards the techniques that were used for ‘operational’ evaluation, performance generally complied with expected levels and ranged from good ( e.g. O 3, SO 4 2–) to moderate ( e.g. PM 10, NO 3 –). At a few sites low correlations and large standard deviations for some species ( e.g. SO 2) suggest that these sites are subject to local factors ( e.g. topography, emission sources) that are not well described in the model. Overall, the model tends to over predict O 3 and under predict aerosol species (except SO 4 2–). Discrepancies between predicted and observed concentrations may be due to a variety of intertwined factors, which include inaccuracies in meteorological predictions, chemical boundary conditions, temporal variability in emissions, and uncertainties in the treatment of gas and aerosol chemistry. Further work is thus required to investigate the respective contributions of such factors on the predicted concentrations.
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content type line 23
ISSN:1352-2310
1873-2844
DOI:10.1016/j.atmosenv.2010.03.029