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dc.contributor.authorLowe, SJ
dc.contributor.authorPartridge, DG
dc.contributor.authorDavies, JF
dc.contributor.authorWilson, KR
dc.contributor.authorTopping, D
dc.contributor.authorRiipinen, I
dc.date.accessioned2020-01-08T10:12:13Z
dc.date.issued2019-11-18
dc.description.abstractAerosol-cloud interactions constitute the largest source of uncertainty in global radiative forcing estimates, hampering our understanding of climate evolution. Recent empirical evidence suggests surface tension depression by organic aerosol to significantly influence the formation of cloud droplets, and hence cloud optical properties. In climate models, however, surface tension of water is generally assumed when predicting cloud droplet concentrations. Here we show that the sensitivity of cloud microphysics, optical properties and shortwave radiative effects to the surface phase are dictated by an interplay between the aerosol particle size distribution, composition, water availability and atmospheric dynamics. We demonstrate that accounting for the surface phase becomes essential in clean environments in which ultrafine particle sources are present. Through detailed sensitivity analysis, quantitative constraints on the key drivers – aerosol particle number concentrations, organic fraction and fixed updraft velocity – are derived for instances of significant cloud microphysical susceptibilities to the surface phase.en_GB
dc.description.sponsorshipKnut and Alice Wallenberg foundationen_GB
dc.description.sponsorshipChemical Sciences Geosciences and Biosciences Division, Office of Basic Energy Sciences, U.S. Department of Energyen_GB
dc.identifier.citationVol. 10, article 5214en_GB
dc.identifier.doi10.1038/s41467-019-12982-0
dc.identifier.grantnumber2015.0162en_GB
dc.identifier.grantnumberDE-AC02-05CH11231en_GB
dc.identifier.urihttp://hdl.handle.net/10871/40301
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttps://bolin.su.se/data/lowe-2019en_GB
dc.relation.urlhttps://github.com/SamJLowe/NatComms_OrgSurfaceCloudsen_GB
dc.rights© The Author(s) 2019. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/en_GB
dc.titleKey drivers of cloud response to surface-active organicsen_GB
dc.typeArticleen_GB
dc.date.available2020-01-08T10:12:13Z
dc.descriptionThis is the final version. Available on open access from Nature Research via the DOI in this recorden_GB
dc.descriptionData availability: The data used to produce Figs. 1–5 are available from the Bolin database (https://bolin.su.se/data/lowe-2019) and/or upon request from the authors. The observational data in Fig. 4 has been acquired from the EBAS database (www.ebas.nilu.no).en_GB
dc.descriptionCode availability: Plotting, data analysis and simulation setup scripts are available at https://github.com/SamJLowe/NatComms_OrgSurfaceCloudsen_GB
dc.identifier.eissn2041-1723
dc.identifier.journalNature Communicationsen_GB
dc.rights.urihttps://creativecommons.org/ licenses/by/4.0/en_GB
dcterms.dateAccepted2019-10-15
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-11-18
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-01-08T10:09:04Z
refterms.versionFCDVoR
refterms.dateFOA2020-01-08T10:12:18Z
refterms.panelBen_GB


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© The Author(s) 2019. Open Access. This article is licensed under a Creative Commons
Attribution 4.0 International License, which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give
appropriate credit to the original author(s) and the source, provide a link to the Creative
Commons license, and indicate if changes were made. The images or other third party
material in this article are included in the article’s Creative Commons license, unless
indicated otherwise in a credit line to the material. If material is not included in the
article’s Creative Commons license and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this license, visit http://creativecommons.org/
licenses/by/4.0/
Except where otherwise noted, this item's licence is described as © The Author(s) 2019. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/