000890294 001__ 890294
000890294 005__ 20240712101003.0
000890294 0247_ $$2doi$$a10.5194/gmd-13-363-2020
000890294 0247_ $$2ISSN$$a1991-959X
000890294 0247_ $$2ISSN$$a1991-9603
000890294 0247_ $$2Handle$$a2128/27081
000890294 0247_ $$2WOS$$aWOS:000512297800003
000890294 037__ $$aFZJ-2021-00875
000890294 082__ $$a550
000890294 1001_ $$00000-0003-3549-6889$$aMertens, Mariano$$b0$$eCorresponding author
000890294 245__ $$aAre contributions of emissions to ozone a matter of scale? – a study using MECO(n) (MESSy v2.50)
000890294 260__ $$aKatlenburg-Lindau$$bCopernicus$$c2020
000890294 3367_ $$2DRIVER$$aarticle
000890294 3367_ $$2DataCite$$aOutput Types/Journal article
000890294 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1611761684_32354
000890294 3367_ $$2BibTeX$$aARTICLE
000890294 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000890294 3367_ $$00$$2EndNote$$aJournal Article
000890294 520__ $$aAnthropogenic and natural emissions influence the tropospheric ozone budget, thereby affecting air quality and climate. To study the influence of different emission sources on the ozone budget, often source apportionment studies with a tagged tracer approach are performed. Studies investigating air quality issues usually rely on regional models with a fine spatial resolution, while studies focusing on climate-related questions often use coarsely resolved global models. It is well known that simulated ozone mixing ratios depend on the resolution of the model and the resolution of the emission inventory. Whether the contributions simulated using source apportionment approaches also depend on the model resolution, however, is still unclear. Therefore, this study attempts for the first time to analyse the impact of the model, the model resolution, and the emission inventory resolution on simulated ozone contributions using a diagnostic tagging method. The differences in the ozone contributions caused by these factors are compared with differences that arise from the usage of different emission inventories. To do so, we apply the MECO(n) (MESSy-fied ECHAM and COSMO models nested n times) model system which couples online a global chemistry-climate model with a regional chemistry-climate model equipped with a tagging scheme for source apportionment. The results of the global model (at 300 km horizontal resolution) are compared with the results of the regional model at 50 km (Europe) and 12 km (Germany) resolutions. Besides model-specific differences and biases that are discussed in detail, our results have important implications for other modelling studies and modellers applying source apportionment methods. First, contributions from anthropogenic emissions averaged over the continental scale are quite robust with respect to the model, model resolution, and emission inventory resolution. Second, differences on the regional scale caused by different models and model resolutions can be quite large, and regional models are indispensable for source apportionment studies on the subcontinental scale. Third, contributions from stratospheric ozone transported to the surface differ strongly between the models, mainly caused by differences in the efficiency of the vertical mixing. As stratospheric ozone plays an important role for ground level ozone, but the models show large differences in the amount of downward transported ozone, source apportionment methods should account for this source explicitly to better understand inter-model differences.
000890294 536__ $$0G:(DE-HGF)POF3-243$$a243 - Tropospheric trace substances and their transformation processes (POF3-243)$$cPOF3-243$$fPOF III$$x0
000890294 588__ $$aDataset connected to CrossRef
000890294 7001_ $$0P:(DE-Juel1)180121$$aKerkweg, Astrid$$b1$$ufzj
000890294 7001_ $$00000-0002-8012-6783$$aGrewe, Volker$$b2
000890294 7001_ $$00000-0002-8964-1394$$aJöckel, Patrick$$b3
000890294 7001_ $$00000-0002-9572-2393$$aSausen, Robert$$b4
000890294 773__ $$0PERI:(DE-600)2456725-5$$a10.5194/gmd-13-363-2020$$gVol. 13, no. 1, p. 363 - 383$$n1$$p363 - 383$$tGeoscientific model development$$v13$$x1991-9603$$y2020
000890294 8564_ $$uhttps://juser.fz-juelich.de/record/890294/files/gmd-13-363-2020.pdf$$yOpenAccess
000890294 909CO $$ooai:juser.fz-juelich.de:890294$$pdnbdelivery$$pVDB$$pVDB:Earth_Environment$$pdriver$$popen_access$$popenaire
000890294 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-08-31
000890294 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000890294 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bGEOSCI MODEL DEV : 2018$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bGEOSCI MODEL DEV : 2018$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000890294 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-08-31
000890294 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-08-31
000890294 9141_ $$y2020
000890294 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)180121$$aForschungszentrum Jülich$$b1$$kFZJ
000890294 9131_ $$0G:(DE-HGF)POF3-243$$1G:(DE-HGF)POF3-240$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lAtmosphäre und Klima$$vTropospheric trace substances and their transformation processes$$x0
000890294 9201_ $$0I:(DE-Juel1)IEK-8-20101013$$kIEK-8$$lTroposphäre$$x0
000890294 9801_ $$aFullTexts
000890294 980__ $$ajournal
000890294 980__ $$aVDB
000890294 980__ $$aUNRESTRICTED
000890294 980__ $$aI:(DE-Juel1)IEK-8-20101013
000890294 981__ $$aI:(DE-Juel1)ICE-3-20101013