Comparison of particle number size distribution trends in ground measurements and climate models

dc.bibliographicCitation.firstPage12873
dc.bibliographicCitation.issue19
dc.bibliographicCitation.lastPage12905
dc.bibliographicCitation.volume22
dc.contributor.authorLeinonen, Ville
dc.contributor.authorKokkola, Harri
dc.contributor.authorYli-Juuti, Taina
dc.contributor.authorMielonen, Tero
dc.contributor.authorKühn, Thomas
dc.contributor.authorNieminen, Tuomo
dc.contributor.authorHeikkinen, Simo
dc.contributor.authorMiinalainen, Tuuli
dc.contributor.authorBergman, Tommi
dc.contributor.authorCarslaw, Ken
dc.contributor.authorDecesari, Stefano
dc.contributor.authorFiebig, Markus
dc.contributor.authorHussein, Tareq
dc.contributor.authorKivekäs, Niku
dc.contributor.authorKrejci, Radovan
dc.contributor.authorKulmala, Markku
dc.contributor.authorLeskinen, Ari
dc.contributor.authorMassling, Andreas
dc.contributor.authorMihalopoulos, Nikos
dc.contributor.authorMulcahy, Jane P.
dc.contributor.authorNoe, Steffen M.
dc.contributor.authorvan Noije, Twan
dc.contributor.authorO'Connor, Fiona M.
dc.contributor.authorO'Dowd, Colin
dc.contributor.authorOlivie, Dirk
dc.contributor.authorPernov, Jakob B.
dc.contributor.authorPetäjä, Tuukka
dc.contributor.authorSeland, Øyvind
dc.contributor.authorSchulz, Michael
dc.contributor.authorScott, Catherine E.
dc.contributor.authorSkov, Henrik
dc.contributor.authorSwietlicki, Erik
dc.contributor.authorTuch, Thomas
dc.contributor.authorWiedensohler, Alfred
dc.contributor.authorVirtanen, Annele
dc.contributor.authorMikkonen, Santtu
dc.date.accessioned2023-03-01T09:28:11Z
dc.date.available2023-03-01T09:28:11Z
dc.date.issued2022
dc.description.abstractDespite a large number of studies, out of all drivers of radiative forcing, the effect of aerosols has the largest uncertainty in global climate model radiative forcing estimates. There have been studies of aerosol optical properties in climate models, but the effects of particle number size distribution need a more thorough inspection. We investigated the trends and seasonality of particle number concentrations in nucleation, Aitken, and accumulation modes at 21 measurement sites in Europe and the Arctic. For 13 of those sites, with longer measurement time series, we compared the field observations with the results from five climate models, namely EC-Earth3, ECHAM-M7, ECHAM-SALSA, NorESM1.2, and UKESM1. This is the first extensive comparison of detailed aerosol size distribution trends between in situ observations from Europe and five earth system models (ESMs). We found that the trends of particle number concentrations were mostly consistent and decreasing in both measurements and models. However, for many sites, climate models showed weaker decreasing trends than the measurements. Seasonal variability in measured number concentrations, quantified by the ratio between maximum and minimum monthly number concentration, was typically stronger at northern measurement sites compared to other locations. Models had large differences in their seasonal representation, and they can be roughly divided into two categories: for EC-Earth and NorESM, the seasonal cycle was relatively similar for all sites, and for other models the pattern of seasonality varied between northern and southern sites. In addition, the variability in concentrations across sites varied between models, some having relatively similar concentrations for all sites, whereas others showed clear differences in concentrations between remote and urban sites. To conclude, although all of the model simulations had identical input data to describe anthropogenic mass emissions, trends in differently sized particles vary among the models due to assumptions in emission sizes and differences in how models treat size-dependent aerosol processes. The inter-model variability was largest in the accumulation mode, i.e. sizes which have implications for aerosol-cloud interactions. Our analysis also indicates that between models there is a large variation in efficiency of long-range transportation of aerosols to remote locations. The differences in model results are most likely due to the more complex effect of different processes instead of one specific feature (e.g. the representation of aerosol or emission size distributions). Hence, a more detailed characterization of microphysical processes and deposition processes affecting the long-range transport is needed to understand the model variability.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/11607
dc.identifier.urihttp://dx.doi.org/10.34657/10640
dc.language.isoeng
dc.publisherKatlenburg-Lindau : EGU
dc.relation.doihttps://doi.org/10.5194/acp-22-12873-2022
dc.relation.essn1680-7324
dc.relation.ispartofseriesAtmospheric chemistry and physics 22 (2022), Nr. 19eng
dc.rights.licenseCC BY 4.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectaerosoleng
dc.subjectclimate modelingeng
dc.subjectcomparative studyeng
dc.subjectconcentration (composition)eng
dc.subjectparticle sizeeng
dc.subjectradiative forcingeng
dc.subjectsize distributioneng
dc.subjecttrend analysiseng
dc.subjectArcticeng
dc.subjectEuropeeng
dc.subject.ddc550
dc.titleComparison of particle number size distribution trends in ground measurements and climate modelseng
dc.typearticle
dc.typeText
dcterms.bibliographicCitation.journalTitleAtmospheric chemistry and physics
tib.accessRightsopenAccess
wgl.contributorTROPOS
wgl.subjectGeowissenschaftenger
wgl.typeZeitschriftenartikelger
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