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dc.contributor.authorBrunner, Dominik W.
dc.contributor.authorSavage, Nick H.
dc.contributor.authorJorba, Oriol
dc.contributor.authorEder, Brian K.
dc.contributor.authorGiordano, Lea
dc.contributor.authorBadia, Alba
dc.contributor.authorBalzarini, Alessandra
dc.contributor.authorBaró, Rocío
dc.contributor.authorBianconi, Roberto
dc.contributor.authorChemel, C.
dc.contributor.authorCurci, Gabriele
dc.contributor.authorForkel, Renate
dc.contributor.authorJiménez-Guerrero, Pedro
dc.contributor.authorHirtl, Marcus
dc.contributor.authorHodzic, Alma
dc.contributor.authorHonzak, Luka
dc.contributor.authorIm, Ulas
dc.contributor.authorKnote, Christoph
dc.contributor.authorMakar, Paul A.
dc.contributor.authorManders-Groot, Astrid
dc.contributor.authorVan Meijgaard, Erik
dc.contributor.authorNeal, Lucy S.
dc.contributor.authorPérez, Juan Luis Canovas
dc.contributor.authorPirovano, Guido
dc.contributor.authorSan José, Roberto
dc.contributor.authorSchro¨der, Wolfram
dc.contributor.authorSokhi, R.S.
dc.contributor.authorSyrakov, Dimiter E.
dc.contributor.authorTorian, Alfreida
dc.contributor.authorTuccella, Paolo
dc.contributor.authorWerhahn, Johannes
dc.contributor.authorWolke, Ralf
dc.contributor.authorYahya, Khairunnisa
dc.contributor.authorŽabkar, Rahela
dc.contributor.authorZhang, Yang
dc.contributor.authorHogrefe, Christian
dc.contributor.authorGalmarini, Stefano
dc.date.accessioned2015-08-18T10:28:42Z
dc.date.available2015-08-18T10:28:42Z
dc.date.issued2015-08
dc.identifier.citationBrunner , D W , Savage , N H , Jorba , O , Eder , B K , Giordano , L , Badia , A , Balzarini , A , Baró , R , Bianconi , R , Chemel , C , Curci , G , Forkel , R , Jiménez-Guerrero , P , Hirtl , M , Hodzic , A , Honzak , L , Im , U , Knote , C , Makar , P A , Manders-Groot , A , Van Meijgaard , E , Neal , L S , Pérez , J L C , Pirovano , G , San José , R , Schro¨der , W , Sokhi , R S , Syrakov , D E , Torian , A , Tuccella , P , Werhahn , J , Wolke , R , Yahya , K , Žabkar , R , Zhang , Y , Hogrefe , C & Galmarini , S 2015 , ' Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2 ' , Atmospheric Environment , vol. 115 , pp. 470-498 . https://doi.org/10.1016/j.atmosenv.2014.12.032
dc.identifier.issn1352-2310
dc.identifier.otherPURE: 7996477
dc.identifier.otherPURE UUID: e9e7d8cf-0133-49c4-9e7c-73d22ab9286e
dc.identifier.otherScopus: 84937946487
dc.identifier.urihttp://hdl.handle.net/2299/16283
dc.descriptionDate of Acceptance: 12/12/2014 Copyright The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/)
dc.description.abstractAir pollution simulations critically depend on the quality of the underlying meteorology. In phase 2 of the Air Quality Model Evaluation International Initiative (AQMEII-2), thirteen modeling groups from Europe and four groups from North America operating eight different regional coupled chemistry and meteorology models participated in a coordinated model evaluation exercise. Each group simulated the year 2010 for a domain covering either Europe or North America or both. Here were present an operational analysis of model performance with respect to key meteorological variables relevant for atmospheric chemistry processes and air quality. These parameters include temperature and wind speed at the surface and in the vertical profile, incoming solar radiation at the ground, precipitation, and planetary boundary layer heights. A similar analysis was performed during AQMEII phase 1 (Vautard etal., 2012) for offline air quality models not directly coupled to the meteorological model core as the model systems investigated here. Similar to phase 1, we found significant overpredictions of 10-m wind speeds by most models, more pronounced during night than during daytime. The seasonal evolution of temperature was well captured with monthly mean biases below 2K over all domains. Solar incoming radiation, precipitation and PBL heights, on the other hand, showed significant spread between models and observations suggesting that major challenges still remain in the simulation of meteorological parameters relevant for air quality and for chemistry-climate interactions at the regional scale.en
dc.language.isoeng
dc.relation.ispartofAtmospheric Environment
dc.rightsOpen
dc.titleComparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2en
dc.contributor.institutionSchool of Physics, Astronomy and Mathematics
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Atmospheric and Climate Physics Research
dc.contributor.institutionAtmospheric Dynamics & Air Quality
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Physics, Astronomy and Mathematics
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2015-08
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.atmosenv.2014.12.032
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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