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dc.contributor.authorBadia, Alba
dc.contributor.authorJorba, Oriol
dc.contributor.authorVoulgarakis, Apostolos
dc.contributor.authorDabdub, Donald
dc.contributor.authorPérez, Carlos
dc.contributor.authorHilboll, Andreas
dc.contributor.authorGonçalves, María
dc.contributor.authorJanjic, Zavisa
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2016-07-05T14:05:40Z
dc.date.available2016-07-05T14:05:40Z
dc.date.issued2016-06-13
dc.identifier.citationBadia, Alba [et al.]. Gas-phase chemistry in the online multiscale NMMB/BSC Chemical Transport Model: Description and evaluation at global scale. "Geoscientific Model Development", 13 Juny 2016.
dc.identifier.issn1991-959X
dc.identifier.urihttp://hdl.handle.net/2117/88524
dc.description.abstractThis paper presents a comprehensive description and benchmark evaluation of the tropospheric gas-phase chemistry component of the NMMB/BSC Chemical Transport Model (NMMB/BSC-CTM), an online chemical weather prediction system conceived for both the regional and the global scale. We provide an extensive evaluation of a global annual cycle simulation using a variety of background surface stations (EMEP, WDCGG and CASTNET), ozonesondes (WOUDC, CMD and SHADOZ), aircraft data (MOZAIC and several campaigns), and satellite observations (SCIAMACHY and MOPITT). We also include an extensive discussion of our results in comparison to other state-of-the-art models. The model shows a realistic oxidative capacity across the globe. The seasonal cycle for CO is fairly well represented at different locations (correlations around 0.3–0.7 in surface concentrations), although concentrations are underestimated in spring and winter in the Northern Hemisphere, and are overestimated throughout the year at 800 and 500 hPa in the Southern Hemisphere. Nitrogen species are well represented in almost all locations, particularly NO2 in Europe (RMSE below 9 μg m−3). The modeled vertical distribution of NOx and HNO3 are in excellent agreement with the observed values and the spatial and seasonal trends of tropospheric NO2 columns correspond well to observations from SCIAMACHY, capturing the highly polluted areas and the biomass burning cycle throughout the year. Over Asia, the model underestimates NOx from March to August probably due to an underestimation of NOx emissions in the region. Overall, the comparison of the modelled CO and NO2 with MOPITT and SCIAMACHY observations emphasizes the need for more accurate emission rates from anthropogenic and biomass burning sources (i.e., specification of temporal variability). The resulting ozone (O3) burden (348 Tg) lies within the range of other state-of-the-art global atmospheric chemistry models. The model generally captures the spatial and seasonal trends of background surface O3 and its vertical distribution. However, the model tends to overestimate O3 throughout the troposphere in several stations. This is attributed to an overestimation of CO concentration over the southern hemisphere leading to an excessive production of O3. Overall, O3 correlations range between 0.6 to 0.8 for daily mean values. The overall performance of the NMMB/BSC-CTM is comparable to that of other state-of-the-art global chemical transport models.
dc.description.sponsorshipThe authors wish to thank WOUDC, GAW, EMEP, WDCGG, CASTNET-EPA, NADP and EANET for the provision of measurement stations. Also, thanks go to the free use of the MOPITT CO data obtained from the NASA Langley Research Center Atmospheric Science Data Center. SCIAMACHY radiances have been provided by ESA. This work is funded by grants CGL2013-46736-R, Supercomputación and e-ciencia Project (CSD2007-0050) from the Consolider-Ingenio 2010 program of the Spanish Ministry of Economy and Competitiveness. Further support was provided by the SEV-2011-00067 grant of the Severo Ochoa Program, awarded by the Spanish Government. A.H. received funding from the Earth System Science Research School (ESSReS), an initiative of the Helmholtz Association of German research centres (HGF) at the AlfredWegener Institute for Polar and Marine Research. All the numerical simulations were performed with the MareNostrum Supercomputer hosted by the Barcelona Supercomputing Center. We also thank Beatriz Monge-Sanz for providing the COPCAT coefficients.
dc.format.extent47 p.
dc.language.isoeng
dc.publisherEuropean Geosciences Union (EGU)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies
dc.subject.lcshTropospheric circulation
dc.subject.lcshTropospheric chemistry
dc.subject.lcshWeather Prediction Research Programmes
dc.subject.otherChemical Transport Model
dc.subject.otherGas-phase chemistry component
dc.subject.otherNMMB/BSC-CTM model
dc.subject.otherAtmospheric chemistry processes
dc.titleGas-phase chemistry in the online multiscale NMMB/BSC Chemical Transport Model: Description and evaluation at global scale
dc.typeArticle
dc.subject.lemacTroposfera
dc.subject.lemacClima--Observacions
dc.identifier.doi10.5194/gmd-2016-141
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.geosci-model-dev-discuss.net/gmd-2016-141/
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/CGL2013-46736-R
upcommons.citation.publishedtrue
upcommons.citation.publicationNameGeoscientific Model Development
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