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In the present work, the Operational Street Pollution Model (OSPM) has been evaluated in comparison with continuous half-hourly measurements over a multi-year period for five permanent street monitor stations that constitute part of the Danish Air Quality Monitoring Programme as well as with passive measurements with long averaging times at nine locations in Copenhagen as part of a specific project. Results are discussed in relation to the quality objective within the EU Air Quality Directive and general uncertainties in model parameters and model input data. It is demonstrated that OSPM reproduces the observed basic dependencies of concentrations on meteorological parameters-most notably wind direction and wind speed. However, in some cases the modelled annual trends in NO x and NO 2 are slightly different from what is found in the measured concentrations. For NO x the OSPM reproduces the observations well, especially for the most recent years, while for NO 2 the model over-predicts in two cases. The explanation for this over-prediction is believed to be uncertainties in the traffic or emission input data, but also in model parameters, and the representativeness of the urban background data may play an important role. The newly developed evaluation tool is used for exploratory data analysis of the large amount of data, and is free available for the research community. The evaluation tool is complementary to the 'Delta Tool' that has been developed in the framework of FAIRMODE by JRC Ispra.
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Matthias Ketzel (2013) studied this question.
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