Vertical profiles of cloud condensation nuclei number concentration and its empirical estimate from aerosol optical properties over the North China Plain
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Published:2022-11-23
Issue:22
Volume:22
Page:14879-14891
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Zhang Rui, Wang YuyingORCID, Li ZhanqingORCID, Wang Zhibin, Dickerson Russell R.ORCID, Ren XinrongORCID, He HaoORCID, Wang Fei, Gao Ying, Chen Xi, Xu Jialu, Cheng YafangORCID, Su HangORCID
Abstract
Abstract. To better understand the characteristics of aerosol activation ability and
optical properties, a comprehensive airborne campaign was conducted over the North China Plain (NCP) from 8 May to 11 June 2016. Vertical profiles of cloud condensation nuclei (CCN) number concentration (NCCN) and aerosol optical properties were measured simultaneously. Seventy-two-hour air mass back trajectories show that during the campaign, the measurement region was mainly influenced by air masses from the northwest and southeast. Air mass sources, temperature structure, anthropogenic emissions, and terrain distribution are factors influencing NCCN profiles. Cloud condensation nuclei spectra suggest
that the ability of aerosol to activate into CCN is stronger in
southeasterly air masses than in northwesterly air masses and stronger in
the free atmosphere than near the surface. Vertical distributions of the aerosol scattering Ångström exponent (SAE) indicate that aerosols near the surface mainly originate from primary emissions consisting of more fine particles. The long-distance transport decreases SAE and makes it vary more in the free troposphere than near the surface. To parameterize NCCN, the equation NCCN=10β⋅σγ is used to fit the relationship between NCCN and the aerosol scattering coefficient (σ) at 450 nm. The fitting parameters β and γ have linear relationships with the SAE. Empirical estimates of NCCN at 0.7 % water vapor supersaturation
(SS) from aerosol optical properties are thus retrieved for the two air
masses: NCCN=10-0.22⋅SAE+2.39⋅σ0.30⋅SAE+0.29 for
northwesterly air masses and
NCCN=10-0.07⋅SAE+2.29⋅σ0.14⋅SAE+0.28 for
southeasterly air masses. The estimated NCCN at 0.7 % SS agrees with that measured, although the performance differs between low and high concentrations in the two air masses. The results highlight the important impact of aerosol sources on the empirical estimate of NCCN from aerosol optical properties.
Funder
National Natural Science Foundation of China National Science Foundation
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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