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dc.contributor.authorIsokääntä, S
dc.contributor.authorKim, P
dc.contributor.authorMikkonen, S
dc.contributor.authorKühn, T
dc.contributor.authorKokkola, H
dc.contributor.authorYli-Juuti, T
dc.contributor.authorHeikkinen, L
dc.contributor.authorLuoma, K
dc.contributor.authorPetäjä, T
dc.contributor.authorKipling, Z
dc.contributor.authorPartridge, D
dc.contributor.authorVirtanen, A
dc.date.accessioned2022-10-04T13:09:11Z
dc.date.issued2022-09-13
dc.date.updated2022-10-04T11:48:27Z
dc.description.abstractAtmospheric aerosol particle concentrations are strongly affected by various wet processes, including below and in-cloud wet scavenging and in-cloud aqueous-phase oxidation. We studied how wet scavenging and cloud processes affect particle concentrations and composition during transport to a rural boreal forest site in northern Europe. For this investigation, we employed air mass history analysis and observational data. Long-term particle number size distribution (∼15 years) and composition measurements (∼8 years) were combined with air mass trajectories with relevant variables from reanalysis data. Some such variables were rainfall rate, relative humidity, and mixing layer height. Additional observational datasets, such as temperature and trace gases, helped further evaluate wet processes along trajectories with mixed effects models. All chemical species investigated (sulfate, black carbon, and organics) exponentially decreased in particle mass concentration as a function of accumulated precipitation along the air mass route. In sulfate (SO4) aerosols, clear seasonal differences in wet removal emerged, whereas organics (Org) and equivalent black carbon (eBC) exhibited only minor differences. The removal efficiency varied slightly among the different reanalysis datasets (ERA-Interim and Global Data Assimilation System; GDAS) used for the trajectory calculations due to the difference in the average occurrence of precipitation events along the air mass trajectories between the reanalysis datasets. Aqueous-phase processes were investigated by using a proxy for air masses travelling inside clouds. We compared air masses with no experience of approximated in-cloud conditions or precipitation during the past 24 h to air masses recently inside non-precipitating clouds before they entered SMEAR II (Station for Measuring Ecosystem–Atmosphere Relations). Significant increases in SO4 mass concentration were observed for the latter air masses (recently experienced non-precipitating clouds). Our mixed effects model considered other contributing factors affecting particle mass concentrations in SMEAR II: examples were trace gases, local meteorology, and diurnal variation. This model also indicated in-cloud SO4 production. Despite the reanalysis dataset used in the trajectory calculations, aqueous-phase SO4 formation was observed. Particle number size distribution measurements revealed that most of the in-cloud SO4 formed can be attributed to particle sizes larger than 200 nm (electrical mobility diameter). Aqueous-phase secondary organic aerosol (aqSOA) formation was non-significant.en_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipKnut och Alice Wallenbergs Stiftelseen_GB
dc.description.sponsorshipAcademy of Finlanden_GB
dc.description.sponsorshipItä-Suomen Yliopistoen_GB
dc.identifier.citationVol. 22(17), pp. 11823-11843en_GB
dc.identifier.doihttps://doi.org/10.5194/acp-22-11823-2022
dc.identifier.grantnumber821205en_GB
dc.identifier.grantnumber638703en_GB
dc.identifier.grantnumber865799en_GB
dc.identifier.grantnumber2015.0162en_GB
dc.identifier.grantnumber317373en_GB
dc.identifier.grantnumber317390en_GB
dc.identifier.grantnumber337550en_GB
dc.identifier.grantnumber325022en_GB
dc.identifier.urihttp://hdl.handle.net/10871/131084
dc.identifierORCID: 0000-0002-5970-901X (Partridge, Daniel)
dc.language.isoenen_GB
dc.publisherEuropean Geosciences Union / Copernicus Publicationsen_GB
dc.relation.urlhttps://smear.avaa.csc.fi/downloaden_GB
dc.relation.urlhttp://ebas.nilu.no/en_GB
dc.relation.urlhttps://www.ready.noaa.gov/HYSPLIT_traj.phpen_GB
dc.rights© Author(s) 2022. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.en_GB
dc.titleThe effect of clouds and precipitation on the aerosol concentrations and composition in a boreal forest environmenten_GB
dc.typeArticleen_GB
dc.date.available2022-10-04T13:09:11Z
dc.identifier.issn1680-7316
dc.descriptionThis is the final version. Available on open access from the European Geosciences Union via the DOI in this recorden_GB
dc.descriptionData availability: Raw data were collected by INAR, University of Helsinki. Field data (particle number size distributions, meteorological variables, black carbon, and trace gases) are available from https://smear.avaa.csc.fi/download (last access: 20 February 2022; Ministry of Education and Culture of Finland and CSC, 2022). The ACSM data on aerosol composition are available from the EBAS database at http://ebas.nilu.no/ (last access: 20 February 2022; NILU, 2022). The pre-processed HYSPLIT trajectory data can be obtained from the corresponding author, and the trajectories can be freely calculated at the web page https://www.ready.noaa.gov/HYSPLIT_traj.php (last access: 14 October 2021; NOAA ARL, 2021).en_GB
dc.identifier.eissn1680-7324
dc.identifier.journalAtmospheric Chemistry and Physicsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-08-17
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-09-13
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-10-04T13:05:08Z
refterms.versionFCDVoR
refterms.dateFOA2022-10-04T13:09:16Z
refterms.panelBen_GB
refterms.dateFirstOnline2022-09-13


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© Author(s) 2022. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.
Except where otherwise noted, this item's licence is described as © Author(s) 2022. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.