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DOI: 10.5445/IR/110094326
Veröffentlicht am 17.01.2018
DOI: 10.5194/gmd-6-791-2013
Zitationen: 30
Web of Science
Zitationen: 29

Evaluating the capability of regional-scale air quality models to cature the vertical distribution of pollutants

Solazzo, E.; Bianconi, R.; Pirovano, G.; Moran, M.D.; Vautard, R.; Hogrefe, C.; Appel, K.W.; Matthias, V.; Grossi, P.; Bessagnet, B.; Brandt, J.; Chemel, C.; Christensen, J.H.; Forkel, R.; Francis, X.V.; Hansen, A.B.; McKeen, S.; Nopmongcol, U.; Prank, M.; Sartelet, K.N.; ... mehr

This study is conducted in the framework of the Air Quality Modelling Evaluation International Initiative (AQMEII) and aims at the operational evaluation of an ensemble of 12 regional-scale chemical transport models used to predict air quality over the North American (NA) and European (EU) continents for 2006. The modelled concentrations of ozone and CO, along with the meteorological fields of wind speed (WS) and direction (WD), temperature (T), and relative humidity (RH), are compared against high-quality in-flight measurements collected by instrumented commercial aircraft as part of the Measurements of OZone, water vapour, carbon monoxide and nitrogen oxides by Airbus In-service airCraft (MOZAIC) programme. The evaluation is carried out for five model domains positioned around four major airports in NA (Portland, Philadelphia, Atlanta, and Dallas) and one in Europe (Frankfurt), from the surface to 8.5 km. We compare mean vertical profiles of modelled and measured variables for all airports to compute error and variability statistics, perform analysis of altitudinal error correlation, and examine the seasonal error distribution for ... mehr

Zugehörige Institution(en) am KIT Fakultät für Physik (PHYSIK)
Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2013
Sprache Englisch
Identifikator ISSN: 1991-959X, 1991-9603
URN: urn:nbn:de:swb:90-AAA1100943265
KITopen-ID: 110094326
HGF-Programm 12.02.04 (POF II, LK 01)
Erschienen in Geoscientific model development
Band 6
Seiten 791-818
Nachgewiesen in Web of Science
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