000858698 001__ 858698
000858698 005__ 20230127125335.0
000858698 0247_ $$2doi$$a10.5194/gmd-2018-235
000858698 0247_ $$2ISSN$$a1991-9611
000858698 0247_ $$2ISSN$$a1991-962X
000858698 0247_ $$2ISSN$$a=
000858698 0247_ $$2ISSN$$aGeoscientific
000858698 0247_ $$2ISSN$$amodel
000858698 0247_ $$2ISSN$$adevelopment
000858698 0247_ $$2ISSN$$adiscussions
000858698 0247_ $$2Handle$$a2128/20985
000858698 0247_ $$2altmetric$$aaltmetric:49511793
000858698 037__ $$aFZJ-2018-07543
000858698 082__ $$a910
000858698 1001_ $$00000-0003-3700-3232$$aTegen, Ina$$b0$$eCorresponding author
000858698 245__ $$aThe aerosol-climate model ECHAM6.3-HAM2.3: Aerosol evaluation
000858698 260__ $$aKatlenburg-Lindau$$bCopernicus$$c2018
000858698 3367_ $$2DRIVER$$aarticle
000858698 3367_ $$2DataCite$$aOutput Types/Journal article
000858698 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1545209874_16407
000858698 3367_ $$2BibTeX$$aARTICLE
000858698 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000858698 3367_ $$00$$2EndNote$$aJournal Article
000858698 520__ $$aWe introduce and evaluate the aerosol simulations with the global aerosol-climate model ECHAM6.3-HAM2.3, which is the aerosol component of the fully coupled aerosol-chemistry-climate model ECHAM-HAMMOZ. Both the host atmospheric climate model ECHAM6.3 and the aerosol model HAM2.3 were updated from previous versions. The updated version of the HAM aerosol model contains improved parameterizations of aerosol processes such as cloud activation, as well as updated emission fields for anthropogenic aerosol species and modifications in the online computation of sea salt and mineral dust aerosol emissions. Aerosol results from nudged and free running simulations for the 10-year period 2003 to 2012 are compared to various measurements of aerosol properties. While there are regional deviations between model and observations, the model performs well overall in terms of aerosol optical thickness, but may underestimate coarse mode aerosol concentrations to some extent, so that the modeled particles are smaller than indicated by the observations. Sulfate aerosol measurements in the US and Europe are reproduced well by the model, while carbonaceous aerosol species are biased low. Both mineral dust and sea salt aerosol concentrations are improved compared to previous versions of ECHAM-HAM. The evaluation of the simulated aerosol distributions serves as a basis for the suitability of the model for simulating aerosol-climate interactions in a changing climate.
000858698 536__ $$0G:(DE-HGF)POF3-512$$a512 - Data-Intensive Science and Federated Computing (POF3-512)$$cPOF3-512$$fPOF III$$x0
000858698 536__ $$0G:(EU-Grant)603445$$aBACCHUS - Impact of Biogenic versus Anthropogenic emissions on Clouds and Climate: towards a Holistic UnderStanding (603445)$$c603445$$fFP7-ENV-2013-two-stage$$x1
000858698 536__ $$0G:(DE-Juel-1)ESDE$$aEarth System Data Exploration (ESDE)$$cESDE$$x2
000858698 588__ $$aDataset connected to CrossRef
000858698 7001_ $$0P:(DE-HGF)0$$aNeubauer, David$$b1
000858698 7001_ $$0P:(DE-HGF)0$$aFerrachat, Sylvaine$$b2
000858698 7001_ $$0P:(DE-HGF)0$$aSiegenthaler-Le Drian, Colombe$$b3
000858698 7001_ $$0P:(DE-HGF)0$$aBey, Isabelle$$b4
000858698 7001_ $$00000-0001-9805-6384$$aSchutgens, Nick$$b5
000858698 7001_ $$00000-0002-1191-0128$$aStier, Philip$$b6
000858698 7001_ $$00000-0002-5312-4950$$aWatson-Parris, Duncan$$b7
000858698 7001_ $$0P:(DE-HGF)0$$aStanelle, Tanja$$b8
000858698 7001_ $$0P:(DE-HGF)0$$aSchmidt, Hauke$$b9
000858698 7001_ $$0P:(DE-HGF)0$$aRast, Sebastian$$b10
000858698 7001_ $$00000-0002-1404-6670$$aKokkola, Harri$$b11
000858698 7001_ $$0P:(DE-Juel1)6952$$aSchultz, Martin$$b12
000858698 7001_ $$0P:(DE-Juel1)16212$$aSchröder, Sabine$$b13$$ufzj
000858698 7001_ $$00000-0002-2409-0392$$aDaskalakis, Nikos$$b14
000858698 7001_ $$0P:(DE-HGF)0$$aBarthel, Stefan$$b15
000858698 7001_ $$0P:(DE-HGF)0$$aHeinold, Bernd$$b16
000858698 7001_ $$00000-0001-8885-3785$$aLohmann, Ulrike$$b17
000858698 773__ $$0PERI:(DE-600)2456729-2$$a10.5194/gmd-2018-235$$gp. 1 - 54$$p1 - 54$$tGeoscientific model development discussions$$v235$$x1991-962X$$y2018
000858698 8564_ $$uhttps://juser.fz-juelich.de/record/858698/files/gmd-2018-235.pdf$$yOpenAccess
000858698 909CO $$ooai:juser.fz-juelich.de:858698$$pdnbdelivery$$pec_fundedresources$$pVDB$$pdriver$$popen_access$$popenaire
000858698 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)6952$$aForschungszentrum Jülich$$b12$$kFZJ
000858698 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)16212$$aForschungszentrum Jülich$$b13$$kFZJ
000858698 9131_ $$0G:(DE-HGF)POF3-512$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data$$vData-Intensive Science and Federated Computing$$x0
000858698 9141_ $$y2018
000858698 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000858698 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000858698 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000858698 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000858698 920__ $$lyes
000858698 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000858698 980__ $$ajournal
000858698 980__ $$aVDB
000858698 980__ $$aUNRESTRICTED
000858698 980__ $$aI:(DE-Juel1)JSC-20090406
000858698 9801_ $$aFullTexts