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dc.contributor.authorDenby, Bruce
dc.contributor.authorGauss, Michael
dc.contributor.authorWind, Peter
dc.contributor.authorMu, Qing
dc.contributor.authorWærsted, Eivind Grøtting
dc.contributor.authorFagerli, Hilde
dc.contributor.authorValdebenito Bustamante, Alvaro Moises
dc.contributor.authorKlein, Heiko
dc.date.accessioned2021-01-22T13:58:56Z
dc.date.available2021-01-22T13:58:56Z
dc.date.issued2020-12-11
dc.description.abstractA description of the new air quality downscaling model – the urban EMEP (uEMEP) and its combination with the EMEP MSC-W model (European Monitoring and Evaluation Programme Meteorological Synthesising Centre West) – is presented. uEMEP is based on well-known Gaussian modelling principles. The uniqueness of the system is in its combination with the EMEP MSC-W model and the “local fraction” calculation contained within it. This allows the uEMEP model to be imbedded in the EMEP MSC-W model and downscaling can be carried out anywhere within the EMEP model domain, without any double counting of emissions, if appropriate proxy data are available that describe the spatial distribution of the emissions. This makes the model suitable for high-resolution calculations, down to 50 m, over entire countries. An example application, the Norwegian air quality forecasting and assessment system, is described where the entire country is modelled at a resolution of between 250 and 50 m. The model is validated against all available monitoring data, including traffic sites, in Norway. The results of the validation show good results for NO2, which has the best known emissions, and moderately good for PM<sub>10</sub> and PM<sub>2.5</sub>. In Norway, the largest contributor to PM, even in cities, is long-range transport followed by road dust and domestic heating emissions. These contributors to PM are more difficult to quantify than NOx exhaust emission from traffic, which is the major contributor to NO2 concentrations. In addition to the validation results, a number of verification and sensitivity results are summarised. One verification showed that single annual mean calculations with a rotationally symmetric dispersion kernel give very similar results to the average of an entire year of hourly calculations, reducing the runtime for annual means by 4 orders of magnitude. The uEMEP model, in combination with EMEP MSC-W model, provides a new tool for assessing local-scale concentrations and exposure over large regions in a consistent and homogenous way and is suitable for large-scale policy applications.en_US
dc.identifier.citationDenby, Gauss, Wind, Mu, Wærsted, Fagerli, Valdebenito Bustamante, Klein. Description of the uEMEP_v5 downscaling approach for the EMEP MSC-W chemistry transport model. Geoscientific Model Development. 2020;13(12):6303-6323en_US
dc.identifier.cristinIDFRIDAID 1864090
dc.identifier.doi10.5194/gmd-13-6303-2020
dc.identifier.issn1991-959X
dc.identifier.issn1991-9603
dc.identifier.urihttps://hdl.handle.net/10037/20401
dc.language.isoengen_US
dc.publisherEuropean Geosciences Union (EGU)en_US
dc.relation.journalGeoscientific Model Development
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/MILJØFORSK/ 267734/Norway/High Resolution Air Quality Information for Policy//en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400::Chemistry: 440en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Kjemi: 440en_US
dc.titleDescription of the uEMEP_v5 downscaling approach for the EMEP MSC-W chemistry transport modelen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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