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dc.contributor.authorSelvaratnam, V
dc.contributor.authorThomson, DJ
dc.contributor.authorWebster, HN
dc.date.accessioned2023-09-14T10:23:17Z
dc.date.issued2023-09-01
dc.date.updated2023-09-14T09:02:11Z
dc.description.abstractThe Met Office’s atmospheric dispersion model Numerical Atmospheric-Dispersion Modeling Environment (NAME) is validated against controlled tracer release experiments, considering the impact of the driving meteorological data and choices in the parameterization of unresolved motions. The Cross-Appalachian Tracer Experiment (CAPTEX) and Across North America Tracer Experiment (ANATEX) were long-range dispersion experiments in which inert tracers were released and the air concentrations measured across North America in the 1980s. NAME simulations of the experiments have been driven by both reanalysis meteorological data from European Centre for Medium-Range Weather Forecasts (ECMWF) and data from the Advanced Research version of the Weather Research and Forecasting (WRF) Model. NAME predictions of air concentrations are assessed against the experimental measurements, using a ranking method composed of four statistical parameters. Differences in the performance of NAME according to this ranking method are compared when driven by different meteorological sources. The effect of changing parameter values in NAME for the unresolved mesoscale motions parameterization is also considered, in particular, whether the parameter values giving the best performance rank are consistent with values typically used. The performance ranks are compared with analyses in the literature for other particle dispersion models, namely, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT), Stochastic Time-Inverted Lagrangian Transport (STILT), and Flexible Particle (FLEXPART). It is found that NAME performance is comparable to the other dispersion models considered, with the different models responding similarly to differences in driving meteorological data.en_GB
dc.format.extent56-60
dc.identifier.citationVol. 62 (9), pp. 1165–1174en_GB
dc.identifier.doihttps://doi.org/10.1175/jamc-d-23-0021.1
dc.identifier.urihttp://hdl.handle.net/10871/133990
dc.identifierORCID: 0000-0003-1749-1398 (Webster, Helen N)
dc.identifierScopusID: 7103291287 (Webster, Helen N)
dc.language.isoenen_GB
dc.publisherAmerican Meteorological Society (AMS)en_GB
dc.relation.urlhttps://doi.org/10.5281/zenodo.7071763en_GB
dc.rights.embargoreasonUnder embargo until 1 march 2024 in compliance with publisher policyen_GB
dc.rights© 2023 American Meteorological Societyen_GB
dc.subjectDispersionen_GB
dc.subjectMesoscale processesen_GB
dc.subjectGlobal transport modelingen_GB
dc.subjectModel comparisonen_GB
dc.subjectModel evaluation/performanceen_GB
dc.titleValidation of the atmospheric dispersion model NAME against long-range tracer release experimentsen_GB
dc.typeArticleen_GB
dc.date.available2023-09-14T10:23:17Z
dc.identifier.isbn9789639931107
dc.identifier.issn1558-8424
dc.descriptionThis is the final version. Available from the American Meteorological Society via the DOI in this recorden_GB
dc.descriptionData availability statement: The NAME model output used for the analysis in this publication is available via Zenodo (https://doi.org/10.5281/zenodo.7071763; Selvaratnam et al. 2022). The NAME model is available for use under license from the Met Office.en_GB
dc.identifier.eissn1558-8432
dc.identifier.journalJournal of Applied Meteorology and Climatologyen_GB
dc.relation.ispartofJournal of Applied Meteorology and Climatology, 2016-May(9)
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2023-07-10
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-09-01
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-09-14T10:20:38Z
refterms.versionFCDVoR
refterms.panelBen_GB


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