Ma Xincheng, Bi Kai, Wang Fei, et al. Cloud observation by aircraft during dust storms. J Appl Meteor Sci, 2024, 35(3): 323-336. DOI:  10.11898/1001-7313.20240306.
Citation: Ma Xincheng, Bi Kai, Wang Fei, et al. Cloud observation by aircraft during dust storms. J Appl Meteor Sci, 2024, 35(3): 323-336. DOI:  10.11898/1001-7313.20240306.

Cloud Observation by Aircraft During Dust Storms

DOI: 10.11898/1001-7313.20240306
  • Received Date: 2023-11-01
  • Rev Recd Date: 2024-01-31
  • Publish Date: 2024-05-31
  • Aerosols influence cloud microphysical properties by acting as cloud condensation nuclei and ice nuclei. Aerosols have the potential to modify the location and intensity of precipitation by changing cloud properties. However, identifying precipitation changes induced by aerosols remains a significant challenge for current research. Dust aerosol carried by dust storms is an important source of ice nuclei. China and Mongolia are the primary desert regions in Asia and the world. The Mongolian cyclone in northern China is one of the significant weather systems that cause sandstorms in both countries. Studying the impact of dust aerosols on clouds under the weather conditions of Mongolian cyclones and sandstorms is of great significance. Due to challenges of aerial observations during dust storms, the impact of dust aerosols on clouds is minimal during Mongolian cyclone dust storms. In order to investigate the impact of dust aerosols on clouds, a study is conducted based on the comprehensive observation experiment of clouds in Beijing Area carried out by Beijing Weather Modification Center. An extremely rare case of strong sandstorm weather caused by a Mongolian cyclone and cold front is observed on 24 April 2009. The vertical macro and micro physical structure characteristics of dust cloud and clean cloud are compared and analyzed, and the potential influence of dust aerosols on clouds is discussed. Results show that dust aerosol transfers from China-Mongolia areas is an important source of ice nuclei in North China. It can be transfered vertically to a height of 3200 meters above the cloud top. The concentration of ice nuclei in the dust background area is significantly increased by 10 times compared to that in the clean background area. This increase further affects the microphysical structure of cumulus and stratocumulus clouds with high cloud top temperatures (-6 ℃ to -3 ℃) by altering the process of ice crystal formation. At the same temperature, the average concentration of ice crystals in the dust cloud increases significantly by nearly 10 times compared to that in the clean cloud. The liquid water content is reduced, leading to the formation of a large number of small ice crystal particles in the cloud. It inhibits the rime process and results in a significant reduction in the average concentration of precipitation particles compared to that in the clean cloud. Additionally, the spectral width of cloud droplets, ice and snow crystals, and precipitation particles is significantly narrower than that in the clean cloud. It will eventually weaken the precipitation, which will have a significant impact on the weather and climate in North China. It is helpful to enhance our understanding of the indirect effects of aerosols.
  • Fig. 1  Monitoring by FY-3A meteorological satellite at 1035 BT 23 Apr(a) and at 1010 BT 24 Apr(b) in 2009(the black circle denotes vertical detection area of Zhangjiakou by aircraft)

    Fig. 2  Time series of altitude, temperature(a) and aerosol particle spectrum outside the cloud (the shaded denotes aerosol number concentration)(the blank denotes the aerosol in the cloud cannot be measured, similarly hereinafter) (b) during climbing stage on 24 Apr 2009

    Fig. 3  Time series of altitude, temperature(a) and aerosol particle spectrum outside the cloud (the shaded denotes aerosol number concentration) (b) during declining stage on 24 Apr 2009

    Fig. 4  Vertical distribution of aerosol number concentration and calculated cloud condensation nucleus and ice nucleus concentration(a), aerosol spectrum (the shaded denotes aerosol number concentration) and effective diameter (the black dot) (b), temperature and liquid water content(c) under dust background

    Fig. 5  Vertical distribution of aerosol number concentration and calculated cloud condensation nucleus and ice nucleus number concentration(a), aerosol spectrum (the shaded denotes aerosol number concentration) and effective diameter (the black dot) (b), temperature and liquid water content(c) under cleaning background

    Fig. 6  Vertical distribution of cloud droplet number concentration (the black dot) and spectral distribution (the shaded denotes number concentration) (a), ice crystal number concentration (the black dot) and spectral distribution (the shaded denotes number concentration) (b), precipitation particle number concentration (the black dot) and spectral distribution (the shaded denotes number concentration) (c) under dust background (the black line denotes number concentration, similarly hereinafter)

    Fig. 7  Example CIP images on cloud top(a), cloud middle(b), and cloud bottom(c) under dust background (the width of each horizontal strip is 1550 μm, the sampling time of each horizontal strip is hour: minute: second, similarly hereinafter)

    Fig. 8  Vertical distribution of cloud droplet number concentration (the black dot) and spectral distribution (the shaded denotes number concentration) (a), ice crystal number concentration (the black dot) and spectral distribution (the shaded denotes number concentration) (b), precipitation particle number concentration (the black dot) and spectral distribution (the shaded denotes number concentration) (c) during declining stage

    Fig. 9  Example CIP images on cloud top(a), middle and upper cloud(b), cloud middle(c), and cloud bottom(d) during declining stage

    Fig. 10  Example CIP images under cloud during declining stage

    Table  1  Parameterization schemes of ice nucleus concentration(N) with temperature(T) and aerosols concentration(n0.5)

    参数化方案 参数化公式 观测地点
    D10 ND10=0.0000594×(-T)3.33×n0.5-0.0264×T+0.0033 全球多站平均
    D15 ND15=n0.51.25×e-0.46×T-11.6
    撒哈拉沙漠沙尘
    K19 NK19=0.0026×(-T)2.3816×n0.5-0.0256×T-0.0250 华北山区
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  • [1]
    Sun Q H, Ma H B, Qi Y B, et al. Distribution characteristics of raindrop spectrum at Changbai Mountain foothills in summer of 2021. J Appl Meteor Sci, 2023, 34(3): 336-347. doi:  10.11898/1001-7313.20230307
    [2]
    Wang Y F, Qi Y H, Li Q, et al. Macro and micro characteristics of a fog process in Changbai Mountain in summer. J Appl Meteor Sci, 2022, 33(4): 442-453. doi:  10.11898/1001-7313.20220405
    [3]
    Wang Z L, Zhou X, Wu J H, et al. Weather conditions and cloud microphysical characteristics of an aircraft severe icing process. J Appl Meteor Sci, 2022, 33(5): 555-567. doi:  10.11898/1001-7313.20220504
    [4]
    Liu C W, Guo X L, Duan W, et al. Observation and analysis of microphysical characteristics of stratiform clouds with embedded convections in Yunnan. J Appl Meteor Sci, 2022, 33(2): 142-154. doi:  10.11898/1001-7313.20220202
    [5]
    Li R J, Huang M Y, Ding D P, et al. Warm cloud size distribution experiment based on 70 m3 expansion cloud chamber. J Appl Meteor Sci, 2023, 34(5): 540-551. doi:  10.11898/1001-7313.20230503
    [6]
    Fang Z Y, Wang W. Characteristic analysis of China dust storm in 2002. J Appl Meteor Sci, 2003, 14(5): 513-521. doi:  10.3969/j.issn.1001-7313.2003.05.001
    [7]
    Sassen K, DeMott P J, Prospero J M, et al. Saharan dust storms and indirect aerosol effects on clouds: CRYSTAL-FACE results. Geophys Res Lett, 2003, 30(12). DOI:  10.1029/2003GL017371.
    [8]
    Qian Z A, Cai Y, Liu J T, et al. Some advances in dust storm research over China-Mongolia areas. Chinese J Geophys, 2006, 49(1): 83-92. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWX200601012.htm
    [9]
    Wang W, Fang Z Y. Review of duststorm weather and research progress. J Appl Meteor Sci, 2004, 15(3): 366-381. doi:  10.3969/j.issn.1001-7313.2004.03.013
    [10]
    Connolly P J, Möhler O, Field P R, et al. Studies of heterogeneous freezing by three different desert dust samples. Atmos Chem Phys, 2009, 9(8): 2805-2824. doi:  10.5194/acp-9-2805-2009
    [11]
    Jiang H, Yin Y, Yang L, et al. The characteristics of atmospheric ice nuclei measured at different altitudes in the Huangshan Mountains in Southeast China. Adv Atmos Sci, 2014, 31(2): 396-406. doi:  10.1007/s00376-013-3048-5
    [12]
    Fan J W, Wang Y, Rosenfeld D, et al. Review of aerosol-cloud interactions: Mechanisms, significance, and challenges. J Atmos Sci, 2016, 73(11): 4221-4252. doi:  10.1175/JAS-D-16-0037.1
    [13]
    Fan J, Leung L R, DeMott P J, et al. Aerosol impacts on California winter clouds and precipitation during CalWater 2011: Local pollution versus long-range transported dust. Atmos Chem Phys, 2014, 14(1): 81-101. doi:  10.5194/acp-14-81-2014
    [14]
    Creamean J M, Suski K J, Rosenfeld D, et al. Dust and biological aerosols from the Sahara and Asia influence precipitation in the western US. Science, 2013, 339(6127): 1572-1578. doi:  10.1126/science.1227279
    [15]
    You L G, Ma P M, Chen J H, et al. A case study of the aerosol characteristics in the lower troposphere during a dust storm event. J Appl Meteor, 1991, 2(1): 13-21. http://qikan.camscma.cn/article/id/19910102
    [16]
    Niu S J, Sun Z B. Aircraft measurements of sand aerosol over Northwest China desert area in late spring. Plateau Meteor, 2005, 24(4): 604-610. doi:  10.3321/j.issn:1000-0534.2005.04.021
    [17]
    Niu S J, Zhang C C, Sun J M. Observational researches on the size distribution of sand aerosol particles in the Helan Mountain Area. Chinese J Atmos Sci, 2001, 25(2): 243-252. doi:  10.3878/j.issn.1006-9895.2001.02.10
    [18]
    Ma X C, Bi K, Tian H J, et al. Aircraft measurements of aerosol characteristics during dust evens in Bejing. Meteor Sci Technol, 2016, 44(1): 95-103. https://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ201601017.htm
    [19]
    Dong X B, Mai R, Wang H L, et al. An interaction study between atmospheric pollutants and boundary layer during a dust storm weather in Shijiazhuang. China Environ Sci, 2021, 41(3): 1024-1033. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHJ202103006.htm
    [20]
    Ma X C, Huang M Y, Yu X W, et al. An observational study of macro/microphysical structures of stratiform cloud in a high-pressure system rear over mountain. Clim Environ Res, 2012, 17(6): 711-718. https://www.cnki.com.cn/Article/CJFDTOTAL-QHYH201206009.htm
    [21]
    Chen P F, Zhang Q, Quan J N, et al. Temporal and spatial distribution of atmospheric pollutants by aircraft sounding in 3500m altitude of Beijing Area. China Environ Sci, 2012, 32(10): 1729-1735. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHJ201210000.htm
    [22]
    Korolev A. Reconstruction of the sizes of spherical particles from their shadow images. Part Ⅰ: Theoretical considerations. J Atmos Ocean Technol, 2007, 24(3): 376-389.
    [23]
    Shen C Y, Zhao C S, Ma N, et al. Method to estimate water vapor supersaturation in the ambient activation process using aerosol and droplet measurement data. J Geophys Res Atmos, 2018, 123(18): 606-610.
    [24]
    DeMott P J, Prenni A J, Liu X, et al. Predicting global atmospheric ice nuclei distributions and their impacts on climate. Proc Natl Acad Sci USA, 2010, 107(25): 11217-11222.
    [25]
    DeMott P J, Prenni A J, McMeeking G R, et al. Integrating laboratory and field data to quantify the immersion freezing ice nucleation activity of mineral dust particles. Atmos Chem Phys, 2015, 15(1): 393-409.
    [26]
    Bi K, Huang M Y, Ma X C, et al. Observation and analysis of atmospheric ice-nucleating particles in online continuous-flow diffusion chamber in winter in North China. Chinese J Atmos Sci, 2020, 44(6): 1243-1257. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXK202006007.htm
    [27]
    Lance S, Shupe M D, Feingold G, et al. Cloud condensation nuclei as a modulator of ice processes in Arctic mixed-phase clouds. Atmos Chem Phys, 2011, 11(237): 8003-8015.
    [28]
    Hu X Q, Lu N M, Zhang P. Remote sensing and detection of dust storm in China using the thermal bands of geostationary meteorological satellite. J Appl Meteor Sci, 2007, 18(3): 266-275. http://qikan.camscma.cn/article/id/20070348
    [29]
    Wang L J, Zhao L N, Shou S W, et al. Observation and numerical simulation analysis of the severe sand storm over northern China in April of 2009. Meteor Mon, 2011, 37(3): 309-317. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX201103009.htm
    [30]
    Tian W H. The temperature in the north is significantly higher Yunnan, Guizhou, Sichuan and Chongqing precipitation more-April 2009. Meteor Mon, 2009, 35(7): 119-123.
    [31]
    Ma X C, Wu H Y, Ji L, et al. Vertical distributions of aerosols under different weather conditions in Beijing. Meteor Mon, 2011, 37(9): 1126-1133. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX201109011.htm
    [32]
    Ma X C, Tian W H, Zhang L, et al. Characterizations of aerosol distribution over Beijing Region in autumn 2004. Meteor Sci Technol, 2011, 39(6): 685-691. https://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ201106004.htm
    [33]
    Pruppacher H R, Klett J D. Microphysics of Clouds and Precipitation. Dordrecht: Springer Netherlands, 1978.
    [34]
    Hallett J, Mossop S C. Production of secondary ice particles during the riming process. Nature, 1974, 249(5452): 26-28.
    [35]
    Mossop S C. Secondary ice particle production during rime growth: The effect of drop size distribution and rimer velocity. Q J R Meteor Soc, 1985, 111(470): 1113-1124.
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    • Received : 2023-11-01
    • Accepted : 2024-01-31
    • Published : 2024-05-31

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