Assessment of cloud condensation nucleus activation of urban aerosol particles with different hygroscopicity and the application to the cloud parcel model
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Kawana, Kaori
[1
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Kuba, Naomi
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Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokohama, Kanagawa, Japan
Univ Tokyo, Atmosphere & Ocean Res Inst, Kashiwa, Chiba, JapanNagoya Univ, Grad Sch Environm Studies, Nagoya, Aichi 4648601, Japan
Kuba, Naomi
[2
,3
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Mochida, Michihiro
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Nagoya Univ, Grad Sch Environm Studies, Nagoya, Aichi 4648601, JapanNagoya Univ, Grad Sch Environm Studies, Nagoya, Aichi 4648601, Japan
Mochida, Michihiro
[1
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机构:
[1] Nagoya Univ, Grad Sch Environm Studies, Nagoya, Aichi 4648601, Japan
[2] Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokohama, Kanagawa, Japan
[3] Univ Tokyo, Atmosphere & Ocean Res Inst, Kashiwa, Chiba, Japan
Size-resolved measurements of the ratios of cloud condensation nuclei (CCN) to condensation nuclei for particles with different hygroscopic growth factors (g) and distributions of g at 85% relative humidity were performed for urban aerosols over Nagoya, Japan. The CCN efficiency spectra of less hygroscopic particles (g of 1.0 and 1.1) were very different from those of more hygroscopic particles (g of 1.25 and 1.4). While the differences between the CCN activation diameters predicted from g (d(act,g85)) and those measured (d(act,CCN)) were within 12% for more hygroscopic particles, the differences were larger (16%-41%) for less hygroscopic particles. Possible causes of this included surface tension reduction, the dependence of kappa on the concentration of the solution, the existence of sparingly soluble materials, and asphericity of particles. The number concentrations of CCN (N-CCN) and cloud droplets (N-cd) and the effective radius of cloud droplets (R-eff) were estimated from the distributions of g using a cloud parcel model. The influences of the differences between d(act,g85) and d(act,CCN) and the existence of CCN-inactive particles on the model assessment were small. With high updraft velocity, incorporating both less and more hygroscopic particles into the model led to substantial increases in N-CCN and N-cd and a decrease in R-eff as compared to the hypothetical cases that only more hygroscopic particles were present. The results indicated that less hygroscopic particles significantly contribute to cloud droplet formation and assessments of g distributions are useful in this regard.
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Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USAColorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
Carrico, Christian M.
Petters, Markus D.
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Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USAColorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
Petters, Markus D.
Kreidenweis, Sonia M.
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Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USAColorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
Kreidenweis, Sonia M.
Collett, Jeffrey L., Jr.
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Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USAColorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
Collett, Jeffrey L., Jr.
Engling, Guenter
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Acad Sinica, Res Ctr Environm Changes, Taipei 115, TaiwanColorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA
Engling, Guenter
Malm, William C.
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Colorado State Univ, Cooperat Inst Res Atmosphere, US Natl Pk Serv, Ft Collins, CO 80523 USAColorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA