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Modelling mixed-phase clouds with the large-eddy model UCLALES-SALSA

Romakkaniemi S; Korhonen H; Kokkola H; Tonttila J; Raatikainen T; Ahola J

dc.contributor.authorRomakkaniemi S
dc.contributor.authorKorhonen H
dc.contributor.authorKokkola H
dc.contributor.authorTonttila J
dc.contributor.authorRaatikainen T
dc.contributor.authorAhola J
dc.date.accessioned2022-10-28T13:32:06Z
dc.date.available2022-10-28T13:32:06Z
dc.identifier.urihttps://www.utupub.fi/handle/10024/165841
dc.description.abstractThe large-eddy model UCLALES-SALSA, with an exceptionally detailed aerosol description for both aerosol number and chemical composition, has been extended for ice and mixed-phase clouds. Comparison to a previous mixed-phase cloud model intercomparison study confirmed the accuracy of newly implemented ice microphysics. A further simulation with a heterogeneous ice nucleation scheme, in which ice-nucleating particles (INPs) are also a prognostic variable, captured the typical layered structure of Arctic mid-altitude mixed-phase cloud: a liquid layer near cloud top and ice within and below the liquid layer. In addition, the simulation showed a realistic freezing rate of droplets within the vertical cloud structure. The represented detailed sectional ice microphysics with prognostic aerosols is crucially important in reproducing mixed-phase clouds.
dc.language.isoen
dc.publisherCOPERNICUS GESELLSCHAFT MBH
dc.titleModelling mixed-phase clouds with the large-eddy model UCLALES-SALSA
dc.identifier.urnURN:NBN:fi-fe2021042827540
dc.relation.volume20
dc.contributor.organizationfi=sovellettu matematiikka|en=Applied Mathematics|
dc.contributor.organization-code2606102
dc.converis.publication-id51396239
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/51396239
dc.format.pagerange11639
dc.format.pagerange11654
dc.identifier.eissn1680-7324
dc.identifier.jour-issn1680-7316
dc.okm.affiliatedauthorAhola, Jaakko
dc.okm.discipline111 Matematiikkafi_FI
dc.okm.discipline114 Physical sciencesen_GB
dc.okm.discipline114 Fysiikkafi_FI
dc.okm.discipline111 Mathematicsen_GB
dc.okm.discipline1171 Geotieteetfi_FI
dc.okm.discipline1171 Geosciencesen_GB
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeJournal article
dc.publisher.countryGermanyen_GB
dc.publisher.countrySaksafi_FI
dc.publisher.country-codeDE
dc.relation.doi10.5194/acp-20-11639-2020
dc.relation.ispartofjournalAtmospheric Chemistry and Physics
dc.relation.issue19
dc.year.issued2020


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