Springtime cloud condensation nuclei concentrations on the west coast of Korea

Yum, Seong Soo; Hudson, James G.; Song, Keun Yong; Choi, Byoung-Cheol

doi:10.1029/2005gl022641

Cited by 51 publications

(34 citation statements)

References 15 publications

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“…The average N CCN /N CN of this study (0.32) was higher than that measured in Vienna (0.13 at SS 0.5 %, CN 13-929 nm) and Finland (0.1-0.3 at SS 0.2 %, CN 3-1000 nm). The increased N CCN /N CN was derived at larger SS in urban environments such as Shanghai (0.47 at SS 0.8 %, CN 10-10 000 nm) and Korea (0.64 at SS 1.0 %, CN 10-500 nm) (Yum et al, 2005;Burkart et al, 2011;Sihto et al, 2011;Leng et al, 2013).…”

Section: Physical and Chemical Properties Of Aerosolmentioning

confidence: 99%

“…More fractions of particles larger than 80 nm were activated into CCN during the hazy case (86 %) and foggy-hazy case (84 %) than that during the clear case (76 %). Although in different SS conditions, N CCN was measured at other urban or urban-like environments such as the west coast of Tasmania (32 cm −3 ) and the west coast of Korea (5292 cm −3 ) at SS 1.0 % (Yum et al, 2004(Yum et al, , 2005, and Mexico city (3000 cm −3 ), Ireland (208-346 cm −3 ) and Vienna (820 cm −3 ) at SS 0.5 % (Baumgardner et al, 2003;Reade et al, 2006;Burkart et al, 2011). An even larger N CCN (6000 cm −3 ) was measured at SS 0.17 % in Beijing (Deng et al, 2011).…”

Section: Physical and Chemical Properties Of Aerosolmentioning

confidence: 99%

“…Many ground-based measurements on CCN have been performed in diverse environments, describing a global map of CCN distribution in the surface atmosphere (Baumgardner et al, 2003;Yum et al, 2004Yum et al, , 2005Reade et al, 2006;Juranyi et al, 2010;Leng et al, 2013). In urban environments, the new particle formation and growth, and haze pollution were observed recently as having a significant impact on N CCN (Ritesh et al, 2007;Kuang et al, 2009).…”

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confidence: 99%

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Variations of cloud condensation nuclei (CCN) and aerosol activity during fog–haze episode: a case study from Shanghai

Leng

Zhang

et al. 2014

Atmos. Chem. Phys.

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Abstract. Measurements of cloud condensation nuclei (CCN), condensation nuclei (CN) and aerosol chemical composition were performed simultaneously at an urban site in Shanghai from 6 to 9 November 2010. The variations of CCN number concentration (N CCN ) and aerosol activity (activated aerosol fraction, N CCN /N CN ) were examined during a fog-haze co-occurring event. Anthropogenic pollutants emitted from vehicles and unfavorable meteorological conditions such as low planetary boundary layer (PBL) height exerted a great influence on PM 2.5 and black carbon (BC) loadings. N CCN at 0.2 % supersaturation (SS) mostly fell in the range of 994 to 6268 cm −3 , and the corresponding N CCN /N CN varied between 0.09 and 0.57. N CCN and N CCN /N CN usually were usually higher in the hazy case due to increased aerosol concentration in the accumulation mode (100-500 nm), and lower in the foggy-hazy and clear cases. The BC mass concentration posed a strong positive effect on N CCN in the foggy-hazy and hazy cases, whereas it poorly correlated with N CCN in the clear case. N CCN /N CN was weakly related with BC in both foggy-hazy and hazy cases. By using a simplified particle hygroscopicity (κ), the calculated critical dry size (CDS) of activated aerosol did not exceed 130 nm at 0.2 % SS in spite of diverse aerosol chemical compositions. The predicted N CCN at 0.2 % SS was very successful compared with the observed N CCN in clear case (R 2 = 0.96) and foggy-hazy/hazy cases (R 2 = 0.91). In addition, their corresponding ratios of predicted to observed N CCN were on average 0.95 and 0.92, respectively. More organic matter is possibly responsible for this closure difference between foggy-hazy/hazy and clear cases. These results reveal that the particulate pollutant burden exerts a significant impact on N CCN , especially N CCN /N CN promotes effectively during the polluted periods.

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Section: Physical and Chemical Properties Of Aerosolmentioning

confidence: 99%

Section: Physical and Chemical Properties Of Aerosolmentioning

confidence: 99%

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confidence: 99%

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Variations of cloud condensation nuclei (CCN) and aerosol activity during fog–haze episode: a case study from Shanghai

Leng

Zhang

et al. 2014

Atmos. Chem. Phys.

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“…To incorporate the effects of CCN in meteorological models at all scales, from large eddy simulation (LES) to global climate models (GCM), knowledge of the spatial and temporal distribution of CCN in the atmosphere is essential (Huang et al, 2007). Several studies reported CCN measurements from various regions around the world (e.g., Andreae, 2009;Andreae and Rosenfeld, 2008;Bougiatioti et al, 2009;Broekhuizen et al, 2006;Chang et al, 2010;Dusek et al, 2006Dusek et al, , 2010Ervens et al, 2010;Gunthe et al, 2009;Hudson and Yum, 2002;Lance et al, 2009;Roberts et al, 2001Roberts et al, , 2002Roberts et al, , 2006Shantz et al, 2010;Wang et al, 2008Wang et al, , 2010Yum and Hudson, 2004;Yum et al, 2005). However, the actual influence and relative importance of aerosol size distribution, chemical composition, and mixing state on the variability and predictability of CCN concentrations remained a subject of continued discussion (e.g., Broekhuizen et al, 2006;Dusek et al, 2006;Hudson, 2007;Cubison et al, 2008;Wang et al, 2008;Bougiatioti et al, 2009;Gunthe et al, 2009;Ervens et al, 2010;Jurányi et al, 2010;Rose et al, 2010a;Wex et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Cloud condensation nuclei in polluted air and biomass burning smoke near the mega-city Guangzhou, China – Part 2: Size-resolved aerosol chemical composition, diurnal cycles, and externally mixed weakly CCN-active soot particles

et al. 2011

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Abstract. Size-resolved chemical composition, mixing state, and cloud condensation nucleus (CCN) activity of aerosol particles in polluted mega-city air and biomass burning smoke were measured during the PRIDE-PRD2006 campaign near Guangzhou, China, using an aerosol mass spectrometer (AMS), a volatility tandem differential mobility analyzer (VTDMA), and a continuous-flow CCN counter (DMT-CCNC).The size-dependence and temporal variations of the effective average hygroscopicity parameter for CCN-active particles (κ a ) could be parameterized as a function of organic and inorganic mass fractions (f org , f inorg ) determined by the AMS: κ a,p =κ org · f org + κ inorg · f inorg . The characteristic κ values of organic and inorganic components were similar to those observed in other continental regions of the world: κ org ≈0.1 and κ inorg ≈0.6. The campaign average κ a values increased with particle size from ∼0.25 at ∼50 nm to ∼0.4 at ∼200 nm, while f org decreased with particle size. At ∼50 nm, f org was on average 60% and increased to almost 100% during a biomass burning event.The VTDMA results and complementary aerosol optical data suggest that the large fractions of CCN-inactive particles observed at low supersaturations (up to 60% at S≤0.27%) were externally mixed weakly CCN-active soot particles with low volatility (diameter reduction <5% at 300 • C) andeffective hygroscopicity parameters around κ LV ≈0.01. A proxy for the effective average hygroscopicity of the total ensemble of CCN-active particles including weakly CCNactive particles (κ t ) could be parameterized as a function of κ a,p and the number fraction of low volatility particles determined by VTDMA (φ LV ): κ t,p =κ a,p −φ LV · (κ a,p −κ LV ).Based on κ values derived from AMS and VTDMA data, the observed CCN number concentrations (N CCN,S ≈10 2 -10 4 cm −3 at S = 0.068-0.47%) could be efficiently predicted from the measured particle number size distribution. The mean relative deviations between observed and predicted CCN concentrations were ∼10% when using κ t,p , and they increased to ∼20% when using only κ a,p . The mean relative deviations were not higher (∼20%) when using an approximate continental average value of κ≈0.3, although the constant κ value cannot account for the observed temporal variations in particle composition and mixing state (diurnal cycles and biomass burning events).Overall, the results confirm that on a global and climate modeling scale an average value of κ≈0.3 can be used for approximate predictions of CCN number concentrations in continental boundary layer air when aerosol size distribution data are available without information about chemical composition. Bulk or size-resolved data on aerosol chemical composition enable improved CCN predictions resolving regional and temporal variations, but the composition data need to be highly accurate and complemented by information about particle mixing state to achieve high precision (relative deviations <20%).

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“…The CCN concentrations were found to be higher compared to other remote areas of the world such as Island of Tasmania in Australia and Mace Head in Ireland due to transported anthropogenic aerosol. Yum and Hudson (2005) performed CCN measurements with the CCN spectrometer at the Korea Global Atmosphere Watch (GAW) Observatory (KGAWO) on the west coast of Korean peninsula. Data was classified as maritime or continental according to the air mass back trajectories.…”

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confidence: 99%

First Surface Measurement of Cloud Condensation Nuclei over Kanpur, IGP: Role of Long Range Transport

Patidar

Tripathi

Bharti

et al. 2012

Aerosol Science and Technology

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INTRODUCTIONThe concentration of cloud condensation nuclei (CCN) can significantly affect cloud microphysical processes, and in turn, several aspects of weather and climate. The aerosol-cloud interactions and its impact on climate is the least understood and therefore is a subject of intense research in recent years. For more details pertaining to the effects of aerosols on climate and on cloud processes and precipitation, one can look into the excellent reviews by (Lohmann and Feichter 2005;Rosenfeld et al. 2008).Aerosols, by acting as CCN, can perturb clouds. Their effect on earth radiative balance is the largest source of uncertainty in anthropogenic climate change (Houghton et al. 2001). A strong positive correlation exists between cloud droplet number concentration and CCN concentration, implying an increase in CCN number results in increased droplet concentration that increases reflectivity leading to climate cooling . This has been confirmed by both modeling results and field observations in marine and continental environments . Therefore, simultaneous in-situ measurements of cloud condensation nuclei and aerosol properties are crucial for establishing a quantitative relationship between cloud microphysics and the microphysical (size) and chemical properties of aerosol (Rissman et al. 2006). Amongst several outstanding issues, the most important is the creation of seasonal 3-D maps of the global distribution of CCN, which is most relevant to warm cloud formation. Considerable efforts have been made in recent years to construct a global CCN climatology, e.g., Southern Ocean (Hudson et al. 1998

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Springtime cloud condensation nuclei concentrations on the west coast of Korea

Cited by 51 publications

References 15 publications

Variations of cloud condensation nuclei (CCN) and aerosol activity during fog–haze episode: a case study from Shanghai

Variations of cloud condensation nuclei (CCN) and aerosol activity during fog–haze episode: a case study from Shanghai

Cloud condensation nuclei in polluted air and biomass burning smoke near the mega-city Guangzhou, China – Part 2: Size-resolved aerosol chemical composition, diurnal cycles, and externally mixed weakly CCN-active soot particles

First Surface Measurement of Cloud Condensation Nuclei over Kanpur, IGP: Role of Long Range Transport

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