2014
DOI: 10.5194/amt-7-1377-2014
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Ammonium nitrate evaporation and nitric acid condensation in DMT CCN counters

Abstract: Abstract. The effect of inorganic semivolatile aerosol compounds on the cloud condensation nucleus (CCN) activity of aerosol particles was studied by using a computational model for a DMT-CCN counter, a cloud parcel model for condensation kinetics and experiments to quantify the modelled results. Concentrations of water vapour and semivolatiles as well as aerosol trajectories in the CCN column were calculated by a computational fluid dynamics model. These trajectories and vapour concentrations were then used a… Show more

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Cited by 15 publications
(20 citation statements)
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“…This condensed mass increases under low-temperature and high relative humidity conditions and cannot be sampled under dry conditions at ground level [Topping et al, 2013]. Even in highly polluted regions, lower concentrations of semivolatile gases and their diffusional losses inside the measurement system restrict the quantification of the increase in CCN potential due to the condensation of semivolatile products prior to cloud droplet formation in the atmosphere [Romakkaniemi et al, 2014]. A recent study by Romakkaniemi et al [2014] investigated the effects of inorganic semivolatile compounds on the CCN activity of aerosol particles by using a computational model for a droplet measurement technologies (DMT) CCN counter, a cloud parcel model for condensation kinetics.…”
Section: Introductionmentioning
confidence: 99%
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“…This condensed mass increases under low-temperature and high relative humidity conditions and cannot be sampled under dry conditions at ground level [Topping et al, 2013]. Even in highly polluted regions, lower concentrations of semivolatile gases and their diffusional losses inside the measurement system restrict the quantification of the increase in CCN potential due to the condensation of semivolatile products prior to cloud droplet formation in the atmosphere [Romakkaniemi et al, 2014]. A recent study by Romakkaniemi et al [2014] investigated the effects of inorganic semivolatile compounds on the CCN activity of aerosol particles by using a computational model for a droplet measurement technologies (DMT) CCN counter, a cloud parcel model for condensation kinetics.…”
Section: Introductionmentioning
confidence: 99%
“…Even in highly polluted regions, lower concentrations of semivolatile gases and their diffusional losses inside the measurement system restrict the quantification of the increase in CCN potential due to the condensation of semivolatile products prior to cloud droplet formation in the atmosphere [Romakkaniemi et al, 2014]. A recent study by Romakkaniemi et al [2014] investigated the effects of inorganic semivolatile compounds on the CCN activity of aerosol particles by using a computational model for a droplet measurement technologies (DMT) CCN counter, a cloud parcel model for condensation kinetics. They found that the evaporation of ammonia and nitric acid from ammonium nitrate particles caused a 10-15 nm decrease in critical diameter at SS = 0.1-0.7%, whereas the condensation of nitric acid vapor increased the CCN potential only in the presence of high semivolatile compound concentrations in the gas phase.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, a number of studies reported evaporation (as a result of chemical decomposition) of ammonium nitrate (Mikhailov et al, 2004;Svenningsson et al, 2006;Gysel et al, 2007;Wu et al, 2013) and organic acids (Prenni et al, 2003) during H-TDMA measurements. Semivolatile compounds may also evaporate inside the CCNC (Asa-Awuku et al, 2009;Romakkaniemi et al, 2014).…”
Section: Interpretation Of S Vs D As "Ccn State Space"mentioning
confidence: 99%
“…Evaporation of volatile compounds after DMA sizing (inside a CCNC) would result in overestimation of D50 determined by the Dry CCN method (Asa-Awuku et al, 2009;Romakkaniemi et al, 2014). Recently, Romakkaniemi et al (2014) modeled evaporation and co-condensation inside the DMT CCNC (the same instrument as used in this study), using a computational fluid dynamics model.…”
Section: Ammonium Nitratementioning
confidence: 99%
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