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UID:20250805T055158EDT-1847cSWAWi@132.216.98.100
DTSTAMP:20250805T095158Z
DESCRIPTION:Atmospheric and Oceanic Sciences Departmental Seminar Series\n
 \npresents\n\nMultiphase Aerosol Thermodynamics – From Phase Separation to
  Cloud Droplet Activation\n\na talk by\n\nAndreas Zuend\n	Associate Profess
 or\,\n	Department of Atmospheric & Oceanic Sciences\, ɬÀ﷬ \n
 \nAerosol particles and cloud droplets represent distinct manifestations o
 f complex multicomponent systems in Earth’s atmosphere. The water uptake c
 haracteristics of atmospheric aerosols are among the properties controlled
  by chemical composition\, which is relevant for particle size and interac
 tions with radiation. Modeling the equilibrium water content of a particle
  involves predicting the gas–particle partitioning of water at a certain r
 elative humidity and temperature. Furthermore\, the equilibration is affec
 ted by non-ideal mixing in liquid phases and the simultaneous partitioning
  of semivolatile organic and inorganic species. Thermodynamic and dynamic 
 models of these processes attempt to provide accurate predictions for use 
 in process-level models as well as large-scale atmospheric models. However
 \, a trade-off exists between the level of affordable chemical complexity\
 , available information and computational costs. Features like liquid–liqu
 id phase separation have gained interest due to their impact on multiphase
  chemistry\, hygroscopicity\, the viscosity of particle phases\, predicted
  aerosol mass concentrations\, and aerosol–cloud effects. Case studies sug
 gest that the interplay of aerosol hygroscopicity at elevated relative hum
 idity and the partitioning of other semivolatile species affect particle s
 urface composition and the cloud formation potential of ultrafine particle
 s. Modeling frameworks to capture the multiphase\, multicomponent nature o
 f atmospheric aerosols have been introduced primarily for detailed process
  studies. Treatments of such features within large-scale atmospheric model
 s will benefit from a reduced-complexity approach.\n\nIn this seminar\, I 
 will introduce both a detailed framework based on the AIOMFAC model as wel
 l as a reduced-complexity organic aerosol model that was developed recentl
 y. The reduced-complexity model offers the ability to process input inform
 ation typically available in large-scale air quality models and/or data fr
 om field studies. In addition\, the new framework employs artificial neura
 l networks to short-cut relatively costly numerical iteration. We will dis
 cuss this approach and its applications for aerosol hygroscopicity predict
 ions and cloud droplet activation.\n\nMonday Mar 09/ 3:30 PM/ Burnside Hal
 l/ Room 934\n
DTSTART:20200309T193000Z
DTEND:20200309T210000Z
LOCATION:Room 934
SUMMARY:Multiphase Aerosol Thermodynamics – From Phase Separation to Cloud 
 Droplet Activation
URL:/meteo/channels/event/multiphase-aerosol-thermodyn
 amics-phase-separation-cloud-droplet-activation-320962
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