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Key drivers of cloud response to surface-active organics.
Lowe, S J; Partridge, D G; Davies, J F; Wilson, K R; Topping, D; Riipinen, I.
Afiliação
  • Lowe SJ; Department of Environmental Science and Analytical Chemistry (ACES), Stockholm University, Stockholm, Sweden.
  • Partridge DG; Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden.
  • Davies JF; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK.
  • Wilson KR; Department of Chemistry, University of California Riverside, Riverside, CA, USA.
  • Topping D; Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Riipinen I; School of Earth, Atmospheric and Environmental Science, University of Manchester, Manchester, M13 9PL, UK.
Nat Commun ; 10(1): 5214, 2019 11 18.
Article em En | MEDLINE | ID: mdl-31740670
ABSTRACT
Aerosol-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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suécia