Impact of aerosol particles on cloud formation: Aircraft measurements in China

Zhang, Qiang; Quan, Jiannong; Tie, Xuexi; Huang, Mengyu; Ma, Xiaojun

doi:10.1016/j.atmosenv.2010.10.025

Cited by 102 publications

(97 citation statements)

References 33 publications

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“…Results above show that vertical distributions of aerosol and CCN and the magnitude of their concentrations during the BCE was consistent with Zhang et al [22]. The aerosol number concentration decreased with altitude.…”

Section: Discussionsupporting

confidence: 79%

“…The first step is to distinguish the in-cloud and out-of-cloud data from the overall dataset. In fact, there is no generally acknowledged criterion to determine the appearance of clouds from the data, so that scientists use their own criterions in their researches [22,[35][36][37][38][39]. In addition, there is no comparison study to evaluate influences of using different criterions.…”

Section: Resultsmentioning

confidence: 99%

“…In addition, there is no comparison study to evaluate influences of using different criterions. Refer to works of Hobbs et al [37] and Zhang et al [22], the following criterion is used to determine the appearance of clouds in this study: the concentration of droplets with diameters between 3 and 5 μm is ≥ 10 cm −3 (as measured by the FSSP-ER or the CAS), or the concentration of droplets with diameter larger than 100 μm is ≥ 0.1 cm −3 (as measured by the CIP or the OAP-2D).…”

Section: Resultsmentioning

confidence: 99%

“…Zhang et al [21] found that aerosol vertical distributions were strongly affected by weather and meteorological conditions, and they summarized three different types of aerosol vertical distributions corresponding to different weather systems. Moreover, Zhang et al [22] analyzed aircraft observations in July 2008 and proved that high aerosol number concentration corresponded to the high cloud droplet number concentration and smaller diameter, and vice versa.…”

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confidence: 99%

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Distribution and origin of aerosol and its transform relationship with CCN derived from the spring multi-aircraft measurements of Beijing Cloud Experiment (BCE)

Guo

2012

Chin. Sci. Bull.

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The atmospheric aerosol distribution, source and relationship with cloud condensation nuclei (CCN) observed during the Beijing Cloud Experiment (BCE) are analyzed. The results show that the high number concentrations of aerosol mainly distributed below 4500 m, and the magnitude could reach to 10 3 cm −3 . Above 4500 m, the aerosol number concentrations decreased to 10 1 cm −3 as the altitude increases, and the aerosol mean diameters were between 0.16 and 0.19 μm. Below 4500 m, the number size distributions of aerosol showed a bimodal (multimodal) mode, and an unimodal mode above it. Due to the different sources of aerosol, the conversion ratios of aerosol to CCN were less than 20% below 4500 m, and reached 50% above the level at 0.3% supersaturation. The back trajectories showed that aerosols at higher levels above 4500 m were strongly affected by large-size particles and those below 4500 m were strongly affected by local or regional pollution. Based on observations, a relationship between the CCN number concentration and aerosol number concentration is established. aerosol, CCN, aircraft observation, number size distribution Citation:Lu G X, Guo X L. Distribution and origin of aerosol and its transform relationship with CCN derived from the spring multi-aircraft measurements of Beijing Cloud Experiment (BCE). Chin Sci Bull, 2012Bull, , 57: 24602469, doi: 10.1007 Aerosols are important trace component in the atmosphere and much attention have been paid to their effects on cloud and precipitation as well as climate system. On one hand, aerosols can directly absorb, scatter and reflect radiation, and change the radiation flux to the earth surface, which is referred to as direct effect. On the other hand, some aerosols may act as cloud condensation nuclei (CCN) or ice nuclei (IN) to involve in the formation of clouds, and change the microphysical and radiation properties of clouds, and then influence the climate system, which is referred to as indirect effect. The indirect effect can be further classified as first indirect effect or the Twomey effect [1] and second indirect effect or the Albrecht effect [2]. The Twomey effect refers that for given liquid water content, the increase of aerosol concentration will lead to an increase of cloud droplet concentration but a smaller effective diameter of cloud, and then result in an increase of albedo of clouds, while the Albrecht effect is that the increased aerosols can lead to smaller droplet diameter and inhibits the growth of cloud droplets and the formation of precipitation, thereby increases cloud lifetime. Aerosols influence the climate system mainly through CCN and affect the microphysics of clouds. CCN is closely related to the chemical composition of aerosols. The chemical composition of aerosols, however, change greatly with spatial and temporal distributions, which causes the very difficult quantification of the aerosol indirect effect and brings large uncertainty on the study of cloud-aerosol interaction as well as the influence on the climate system. The I...

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Section: Discussionsupporting

confidence: 79%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

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Distribution and origin of aerosol and its transform relationship with CCN derived from the spring multi-aircraft measurements of Beijing Cloud Experiment (BCE)

Guo

2012

Chin. Sci. Bull.

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“…Airborne instruments have been used to characterize aerosol properties in the lower troposphere around the world (Wandinger et al, 2002;Haywood et al, 2003a;Taubman et al, 2004Taubman et al, , 2006Hains et al, 2008;Ferrero et al, 2011;Ryder et al, 2013;Kim et al, 2015;Schwarz et al, 2016;Babu et al, 2016), as well as in China, e.g., in Beijing (Zhang et al, 2006(Zhang et al, , 2011Liu et al, 2009), Dongbei , Hebei , and Shanxi (Li et al, 2015a, b). Most of the measurements were made for parameters such as aerosol number concentration or size distribution.…”

Section: Introductionmentioning

confidence: 99%

Vertical distributions of aerosol optical properties during the spring 2016 ARIAs airborne campaign in the North China Plain

Wang

Ren

et al. 2018

Atmos. Chem. Phys.

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Abstract. Vertical distributions of aerosol optical properties derived from measurements made during 11 aircraft flights over the North China Plain (NCP) in May-June 2016 during the Air Chemistry Research In Asia (ARIAs) were analyzed. Aerosol optical data from in situ aircraft measurements show good correlation with ground-based measurements. The regional variability of aerosol optical profiles such as aerosol scattering and backscattering, absorption, extinction, single scattering albedo (SSA), and the Ångström exponent (α) are thoroughly characterized for the first time over the NCP. The SSA at 550 nm showed a regional mean value of 0.85 ± 0.02 with moderate to strong absorption and the α ranged from 0.49 to 2.53 (median 1.53), indicating both mineral dust and accumulation-mode aerosols. Most of the aerosol particles were located in the lowest 2 km of the atmosphere. We describe three typical planetary boundary layer (PBL) scenarios and associated transport pathways as well as the correlation between aerosol scattering coefficients and relative humidity (RH). Aerosol scattering coefficients decreased slowly with height in the clean PBL condition, but decreased sharply above the PBL under polluted conditions, which showed a strong correlation (R 2 ≥ 0.78) with ambient RH. Back-trajectory analysis shows that clean air masses generally originated from the distant northwestern part of China, while most of the polluted air masses were from the heavily polluted interior and coastal areas near the campaign region.

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Negative Aerosol‐Cloud r_e Relationship From Aircraft Observations Over Hebei, China

Zhao

Qiu

Dong

et al. 2018

Earth and Space Science

108

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Using six flights observations in September 2015 over Hebei, China, this study shows a robust negative aerosol‐cloud droplet effective radius (re) relationship for liquid clouds, which is different from previous studies that found positive aerosol‐cloud re relationship over East China using satellite observations. A total of 27 cloud samples was analyzed with the classification of clean and polluted conditions using lower and upper 1/3 aerosol concentration at 200 m below the cloud bases. By normalizing the profiles of cloud droplet re, we found significant smaller values under polluted than under clean condition at most heights. Moreover, the averaged profiles of cloud liquid water content (LWC) show larger values under polluted than clean conditions, indicating even stronger negative aerosol‐cloud re relationship if LWC is kept constant. The droplet size distributions further demonstrate that more droplets concentrate within smaller size ranges under polluted conditions. Quantitatively, the aerosol‐cloud interaction is found around 0.10–0.19 for the study region.

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Impact of aerosol particles on cloud formation: Aircraft measurements in China

Cited by 102 publications

References 33 publications

Distribution and origin of aerosol and its transform relationship with CCN derived from the spring multi-aircraft measurements of Beijing Cloud Experiment (BCE)

Distribution and origin of aerosol and its transform relationship with CCN derived from the spring multi-aircraft measurements of Beijing Cloud Experiment (BCE)

Vertical distributions of aerosol optical properties during the spring 2016 ARIAs airborne campaign in the North China Plain

Negative Aerosol‐Cloud r_e Relationship From Aircraft Observations Over Hebei, China

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Impact of aerosol particles on cloud formation: Aircraft measurements in China

Cited by 102 publications

References 33 publications

Distribution and origin of aerosol and its transform relationship with CCN derived from the spring multi-aircraft measurements of Beijing Cloud Experiment (BCE)

Distribution and origin of aerosol and its transform relationship with CCN derived from the spring multi-aircraft measurements of Beijing Cloud Experiment (BCE)

Vertical distributions of aerosol optical properties during the spring 2016 ARIAs airborne campaign in the North China Plain

Negative Aerosol‐Cloud re Relationship From Aircraft Observations Over Hebei, China

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Negative Aerosol‐Cloud r_e Relationship From Aircraft Observations Over Hebei, China