Characteristics of Aerosol and Cloud over the Central Plain of North China in Summer

Li Yiyu; Sun Hongping; Yang Junmei; Ren Gang; Zhao Delong; Zhou Wei; Liu Zhichao

doi:10.11898/1001-7313.20210603

Vol.32, NO.6, 2021

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Article Navigation > Journal of Applied Meteorological Science > 2021 > 32(6): 665-676

Li Yiyu, Sun Hongping, Yang Junmei, et al. Characteristics of aerosol and cloud over the central plain of North China in summer. J Appl Meteor Sci, 2021, 32(6): 665-676. DOI: 10.11898/1001-7313.20210603.

Citation:

Li Yiyu, Sun Hongping, Yang Junmei, et al. Characteristics of aerosol and cloud over the central plain of North China in summer. J Appl Meteor Sci, 2021, 32(6): 665-676. DOI: 10.11898/1001-7313.20210603.

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Characteristics of Aerosol and Cloud over the Central Plain of North China in Summer

DOI: 10.11898/1001-7313.20210603

1.
Shanxi Weather Modification Center, Taiyuan 030002
2.
Beijing Weather Modification Center, Beijing 100089
3.
Flight Control Room, Unit 95820 of the PLA, Beijing 102207

Received Date: 2021-08-05
Rev Recd Date: 2021-10-20
Publish Date: 2021-11-23

Abstract

Abstract

The vertical distribution of aerosols and clouds is a key issue in the indirect climate effects of aerosols. Based on the aerosol and cloud droplet number concentration data observed by 6 aircrafts over the central plain of North China from July to August in 2018, the vertical distribution and spectral characteristics of aerosols and clouds are studied. The results show that the mean value of aerosol number concentration ( N_a ) of this area is higher than that in Central China, the in-cloud aerosol number concentration (N_acc) accounts for over 80% of the total concentration, and the mean particle diameter ( D_m ) is between 0.12 and 0.52 μm, which means fine particles contribute the largest proportion. The aerosol number concentration decreases with the height. The total aerosol number concentration is higher with middle and high stratus comparing to low-level stratus. The vertical distribution of N_a is significantly affected by atmospheric stratification, as inversion temperature layer block the vertical transport of aerosols. The vertical distribution of mean diameter below 3500 m is relatively stable, with an average of 0.23 μm, while increases with the height above 3500 m. The vertical distribution of aerosol particle mean diameter at high altitude (above 2000 m) is greatly affected by relative humidity. Compared with the vertical distribution of aerosol number concentration and mean diameter, the horizontal variety is smaller. In low-level stratus, the cloud droplet number concentration (N_c) is large, and the liquid water content (L) is small. In middle and high stratus, the cloud droplet number concentration is small, and the liquid water content is large. The probability distribution function of cloud droplet number concentration and liquid water content are bimodal distribution, and the probability distribution function of cloud droplet effective radius (R_e) show a single mode. The distribution of aerosol number concentration spectrum shows multi-peak distribution, and the average aerosol spectrum show three-peak distribution. The distribution of cloud droplet number concentration spectrum shows a single peak, which appears at the scale of 9-16 μm, and the spectral width of cloud droplets is 50 μm. The parameter characteristics of aerosol spectral distribution obtained by fitting aerosol spectral distribution can provide an important in situ measurement basis for improving the parameterized schemes such as regional climate model and aerosol-cloud model.
- the central plain of North China;
- aerosol;
- cloud droplet;
- aircraft measurements

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References(41)

Figures and Tables

Fig. 1 Vertical distributions of N_a and D_m

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Fig. 2 Vertical distributions of temperature and relative humidity(a), N_a and D_m (b) during F3 on 31 Jul 2018

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图 3 2018年8月22日F4两次垂直观测的温湿廓线及气溶胶数浓度、算术平均直径的垂直分布

(a)起飞过程温湿廓线,(b)起飞过程 N_a 和 D_m 垂直分布,(c)降落过程温湿廓线,(d)降落过程 N_a 和 D_m 垂直分布

Fig. 3 Vertical distributions of temperature, relative humidity, N_a and D_m during F4 on 22 Aug 2018

(a)temperature, relative humidity during take off, (b) N_a and D_m during take off, (c)temperature, relative humidity during landing, (d) N_a and D_m during landing

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Fig. 4 Horizontal distributions of N_a and D_m during F2 on 26 Jul 2018

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Fig. 5 Distributions of aerosol particles during six flights

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Fig. 6 Mean size distributions of aerosol particles during six flights

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Fig. 7 Vertical distributions of N_c and L during F1-F6

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图 8 F3穿云期间的飞行高度、云滴数浓度和液态水含量

(9朵云用Ⅰ~Ⅸ表示)

Fig. 8 Time series of N_c and L during F3

(the nine clouds are marked byⅠ-Ⅸ)

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Fig. 9 Cloud droplet size distributions for cloud Ⅰ-Ⅸ

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Fig. 10 The probability distribution functions of N_c, L and R_e

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Table 1 Summary of six flights

编号	日期	飞行观测时间	垂直高度范围/m	天气条件
F1	2018-07-21	11:48—13:00	786~5044	中-低层云
F2	2018-07-26	16:09—17:10	780~3778	中-高层云
F3	2018-07-31	17:26—18:52	782~4410	高层云
F4	2018-08-22	10:50—12:14	788~4685	中-高层云
F5	2018-08-22	16:36—17:40	785~4691	中-低层云
F6	2018-08-30	13:53—15:26	786~5687	中-低层云

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Table 2 Statistics of observed aerosol parameters

架次	N_a /cm^-3				D_m /μm
架次	平均值	最大值	标准差	N_acc	平均值	最大值	标准差
F1	114.97	1275.69	195.93	98.83	0.43	2.65	0.43
F2	821.36	10493.30	911.91	663.36	0.12	0.53	0.01
F3	198.27	3001.23	280.91	176.64	0.43	2.72	0.40
F4	86.83	730.10	118.30	74.71	0.50	2.45	0.49
F5	127.02	1008.35	165.99	109.45	0.52	2.89	0.44
F6	130.98	1004.96	179.52	114.09	0.46	3.00	0.47

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