Skip to main content
Have a personal or library account? Click to login
Aircraft measurements of aerosol distribution, warm cloud microphysical properties, and their relationship over the Eastern Loess Plateau in China Cover

Aircraft measurements of aerosol distribution, warm cloud microphysical properties, and their relationship over the Eastern Loess Plateau in China

Open Access
|Jan 2019

Figures & Tables

Fig. 1.

Map of Shanxi Province in North China with the six flight tracks. The shaded contour represents the mean distribution of aerosol optical depth during 121–151 days (May 1–May 30) in 2013 obtained from moderate resolution imaging spectroradiometer data, and Taiyuan City is marked with a white star. The inset map shows the location of the observation area in China, and the dark gray-shaded area shows Shanxi Province.

Table 1.

Flight summary (date: yy-mm-dd, time: hh:mm (CST), height: m).

FlightDateTime rangeMaximum height of flightHeight of 0 °C layerHeight of cloud baseCloud typeF12013-05-0810:25–12:50546429801040AsF22013-05-0814:30–17:10554028901325AsF32013-05-239:45–13:10431030402825AsF42013-05-2515:20–17:25464035402010CuF52013-05-269:20–11:25561032501210AsF62013-05-2810:45–12:3054402940978Sc
Table 2.

Statistical values of warm clouds and aerosols below and in clouds (height: m, N a: cm−3, N c: cm−3, D c: μm, LWC: g·m−3, STP).

FlightCloud heightSample numberNa under cloudNa in cloud baseAerosol activation ratioNcDcLWCMax.Ave.Sd.Max.Ave.Sd.Max.Ave.Sd.F11088–3022609273311230.59201634126.313.15.70.230.050.04F21325–327564839443480.91147512528.9135.40.290.050.05F32825–31844069828470.143111187415.99.93.10.530.070.09F42011–3022233457340170.123051579213.58.62.50.240.050.06F51202–3007705368328500.232731307018.410.14.20.450.060.08F6978–297327010872400.782861107417.35.81.70.060.010.01Ave.283415710.462541056320.110.13.80.300.050.05
Fig. 2.

Time series of flight height (black line), T (red line), and RH (blue line) from the six aircraft measurements. (The light green shades indicate in clouds data.)

Table 3.

Statistical characteristics of aerosol particles (STP).

Na (cm−3)Nacc (cm−3)Nacc ratio (%)ED (µm)FlightMax.Ave.Md.25 Pct.75 Pct.Max.Ave.Md.25 Pct.75 Pct.Ave.Md.Max.Ave.Md.25 Pct.75 Pct.F158407091588546558297011537946094.799.82.830.780.380.121.44F290251223404150154989701205362136154794.199.82.840.790.430.111.52F39745781636415890968675562039686295.799.72.860.820.450.261.11F47179174912434882751711617141226485271298.599.72.620.610.480.340.66F574619934631211100742696945011710809699.42.840.950.620.281.66F62518609483153999251759647014098594.799.42.851.090.90.211.87Ave.6962101156423512926924990547226127495.699.62.80.80.50.201.40
Fig. 3.

The probability distribution function of N a and ED of aerosol particles from the six aircraft measurements.

Fig. 4.

Vertical profiles of averaged N a (a) and ED (b) with error bars (standard deviation), and the vertical profiles of N a (c), and ED (d) in relatively clean and polluted weather conditions.

Fig. 5.

Size distributions of aerosol particles on relatively polluted (a) and clean (b) weather conditions. The different coloured dashed lines are the average particle size distributions in different height ranges (0–1000 m, 1000–2000 m, 2000–3000 m, 3000–4000 m, 4000–5000 m), and the think solid red and blue lines show the average particle size distributions from the whole flights of F4 (a) and F6 (b), relatively.

Fig. 6.

Vertical distribution of N a, N c, and LWC (a, b, and f were from the airplane ascent period and c, d, and e were from the descent period).

Fig. 7.

Horizontal distribution of N a, N c, and LWC.

Fig. 8.

Relationships between N c (a) and D c (b) at different LWC ranges under low aerosol loading conditions.

Fig. 9.

Relationships between N c (a) and D c (b) at different LWC ranges under high aerosol loading conditions.

Table 4.

Mean values of N c and D c under different LWCs for each flight (N c: cm−3, D c: μm, LWC: g·m−3, STP).

<0.050.05–0.1>0.1FlightNcDcNcDcNcDcF1729.9150.616.6738.621F243.39.5353.816.4362.817.68F370.17.99116.312.56215.613.12F483.66.68219.810.13276.411.9F5122.47.9116.313.55164.215.37F699.85.61205.99.66
Fig. 10.

Two cases of N c and D c under three LWC ranges of <0.05, 0.05–0.1, and >0.1 g·m−3 in the same cloud system. (Case 1: a1, b1, and c1; Case 2: a2, b2, and c2).

Fig. 11.

The cloud droplet size distributions of all detected clouds from six flights (the different coloured dashed lines are droplet size distributions from each cloud system, the thick deep purple line shows the mean state of the cloud droplet size distribution, and red and green lines show the lognormal fits of two modes to the mean cloud droplet spectrum).

Table 5.

Parameters characterising the number size distributions of warm cloud droplets (N c: cm−3, Dg : μm).

ParameterValueSDRelated coefficientMode INc78.617.70.79Dg4.560.340.46logσ0.160.050.83Mode IINc13.68.40.71Dg13.62.410.48logσ0.110.070.65
Language: English
Page range: 1663994 - 1663994
Published on: Jan 1, 2019
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2019 Junxia Li, Peiren Li, Gang Ren, Liang Yuan, Yiyu Li, Junmei Yang, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.