Differences in the fractions of heterogeneous ice clouds over China based on CALIPSO data

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  • 1 School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China; 2 Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing 210044, Jiangsu, China; 3 Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology,Nanjing 210044, Jiangsu, China; 4 School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China

Received date: 2019-03-20

  Revised date: 2019-09-04

  Online published: 2020-09-25

Abstract

Ice clouds have a large impact on Earth’s hydrological systems and energy budget. The formation and growth processes of ice clouds are more complicated than those of water clouds and are not yet fully understood. To investigate the distribution of ice clouds in China and the factors affecting this distribution,this paper analyzes the horizontal and vertical distribution and seasonal variation of the fraction of heterogeneous ice clouds over China from January 2012 to December 2015. Heterogeneous ice clouds must have ice nuclei involved in their formation and formation temperatures greater than ?40° C. This paper uses the Cloud- Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) level- 3ice clouds data product (CAL_LID_L3_Ice_Cloud) to analyze the horizontal and vertical distribution of heterogeneous ice clouds over China from January 2012 to December 2015. Seasonal ice cloud variation is studied as well. Because of the thin optical depth and high altitude of ice clouds, aircraft and ground-based RSobservations are difficult. However, satellites are a useful tool for detecting ice clouds. In this study, China is divided southern and northern areas based on differences in the fraction of ice cloud distribution. The results of this study show that the differences in the fraction of ice clouds in northern and southern China are related to temperature, radiation, and ice nuclei from the ground. In northern China, the horizontal distribution of the fraction of ice clouds between ?40 and 0°C is approximately 30% higher than in southern China. The average height of ice clouds in southern China is higher than that in northern China; however,ice clouds in the north are closer to the ground and thus more affected by surface ice nuclei. The ice cloud formation process is promoted more in northern China than in southern China. Additionally, there is an obvious seasonal variation of the fraction of ice clouds. The difference between northern and southern China is large in winter but small in summer. A weak increased (approximately 5% ) fraction of ice clouds is observed in northern China in the cloud temperature bin that ranges from ?30 to ?10°C. In this temperature range, the contact and immersion freezing processes form ice particles. The results of this analysis indicate that these formation processes are promoted in the north. In the spring, autumn, and winter, the fraction of ice clouds in the north is higher than in the south. In summer, the fraction of ice clouds below ?8° C in the south exceeds that in the north. The fraction of ice cloud bins in the troposphere (below 10 km) was larger in northern China than in southern China andthe fraction of ice clouds between the north and the south shows a peak at around 6 km, about 50%. The fraction of ice clouds in northern and southern China was lowest in summer and highest in winter.

Cite this article

FAN Xue-wei, ZHENG You-fei, WANG Li-wen, CHEN Wen-feng . Differences in the fractions of heterogeneous ice clouds over China based on CALIPSO data[J]. Arid Land Geography, 2020 , 43(5) : 1210 -1219 . DOI: 10.12118/j.issn.1000-6060.2020.05.06

References

[1] DUFRESNE J L, BONY S. An assessment of the primary sources of spread of global warming estimates from coupled atmosphere – ocean models[J]. Journal of Climate, 2008, 21(19): 5135-5144. [2] STEPHENS, GRAEME L. Cloud feedbacks in the climate system: A critical review[J]. Journal of Climate, 2005, 18(2): 237-273. [3] LIOU K N. Influence of cirrus clouds on weather and climate pro⁃ cesses: a global perspective[J]. Mon Wea Rev, 1986, 114(6): 1167-1199. [4] HONG G, YANG P, BAUM B A, et al. Parameterization of short⁃ wave and longwave radiative properties of ice clouds for use in cli⁃ mate models[J]. Journal of Climate, 2009, 22(23): 6287-6312. [5] 郑倩, 郑有飞, 王立稳, 等. 京津冀夏季强降水下冰云宏微观特 征[J]. 干旱区地理, 2019, 42(1): 67-76. [ZHENG Qian, ZHENG Youfei, WANG Liwen, et al. Macrophysical and microphysical properties of ice clouds during heavy rainfalls in Beijing-Tianjin- Hebei region in summer[J]. Arid Land Geography, 2019, 42(1): 67-76. ] [6] 邓军英, 丁明月, 王文彩, 等. 冰云粒子微物理属性在一次强降 雨 过 程 中 的 垂 直 分 布 [J]. 干 旱 区 地 理, 2016, 39(3): 590- 599. [DENG Junying, DING Mingyue, WANG Wencai, et al. Vertical distributions microphysical properties of ice particles in a heavy rain[J]. Arid Land Geography, 2016, 39(3): 590-599. ] [7] LOHMANN U, FEICHTER J. Global indirect aerosol effects: a re⁃ view[J]. Atmospheric Chemistry and Physics, 2005, 5(3): 715-737. [8] HOOSE C, MOHLER O. Heterogeneous ice nucleation on atmo⁃ spheric aerosols: A review of results from laboratory experiments [J]. Atmospheric Chemistry and Physics, 2012, 12(20): 9817-9854. [9] MORENO L A, STETZER O, LOHMANN U. Contact freezing: A review of experimental studies[J]. Atmospheric Chemistry and Physics, 2013, 13(19): 9745-9769. [10] SEIFERT P, ANSMANN A, MATTIS I, et al. Saharan dust and het⁃ erogeneous ice formation: Eleven years of cloud observations at a central European EARLINET site[J]. Journal of Geophysical Re⁃ search Atmospheres, 2010, 115(D20). [11] ZHANG D, WANG Z, HEYMSFIELD J, et al. Quantifying the im⁃ pact of dust on heterogeneous ice generation in midlevel super⁃ cooled stratiform clouds[J]. Geophysical Research Letters, 2012, 39(18): 143-157. [12] 彭杰, 张华, 沈新勇. 东亚地区云垂直结构的 CloudSat 卫星观测 研 究 [J]. 大 气 科 学, 2013, 37(1): 91- 100. [PENG Jie, ZHANG Hua, SHEN Xinyong. Analysis of vertical structure of clouds in East Asia by space-based lidar data [J]. Chinese Journal of Atmo⁃ spheric Sciences, 2013, 37(1): 91-100. ] [13] MIN M, WANG P, CAMPBELL J R, et al. Cirrus cloud macrophys⁃ ical and optical properties over North China from CALIOP mea⁃ surements[J]. Advances in Atmospheric Sciences, 2011, 28(3): 653-664. [14] AVERY M, WINKER D, HEYMSFIELD A, et al. Cloud ice water content retrieved from the CALIOP space-based lidar[J]. Geophysi⁃ cal Research Letters, 2012, 39(5): L05808. [15] 李积明, 黄建平, 衣育红, 等. 利用星载激光雷达资料研究东亚 地区云垂直分布的统计特征[J]. 大气科学, 2009, 33(4): 698- 707. [LI Jiming, HUANG Jianping, YI Yuhong, et al. Analysis of vertical distribution of cloud in East Asia with CloudSat data [J]. Chinese Journal of Atmospheric Sciences, 2009, 33(4): 698-707. ] [16] HUO J. Physical properties of mid-level clouds based on CloudSat/ CALIPSO data over land and sea[J]. Climatic and Environmental Research, 2015, 20(1): 30-40. [17] DELANOE J, HOGAN R J. A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiome⁃ ter[J]. Journal of Geophysical Research: Atmospheres, 2008, 113. [18] DELANOE J, HOGAN R J. Combined CloudSat- CALIPSO- MO⁃ DIS retrievals of the properties of ice clouds[J]. Journal of Geo⁃ physical Research, 2010, 115(4): D00H29. [19] 李静, 肖子牛, 刘奇俊, 等. 基于 MODIS 和 Cloudsat 云产品分析 降水云系特征[J]. 科技信息, 2009, (11): 42-43. [LI Jing, XIAO Ziniu, LIU Qijun, et al. Analysis of precipitation cloud characteris⁃ tics based on MODIS and Cloudsat cloud products [J]. Science & Technology Information, 2009, (11): 42-43. ] [20] STEPHENS G L, VANE D G, BOAIN R J, et al. The Cloudsat mis⁃ sion and the A- Train[J]. Bulletin of the American Meteorological Society, 2002, 83(12): 1771-1790. [21] DAVID M W, MARK A V, ALI O, et al. Overview of the CALIPSO mission and CALIOP data processing algorithms[J]. Journal of At⁃ mospheric & Oceanic Technology, 2009, 26(11): 2310-2323. [22] 刘刚, 史伟哲, 尤睿. 美国云和气溶胶星载激光雷达综述[J]. 航 天 器 工 程, 2008, 17(1): 78- 84. [LIU Gang, SHI Weizhe, YOU Rui. Cloud- aerosol lidar of America[J]. Spacecraft Engineering, 2008, 17(1): 78-84. ] [23] 周青, 赵凤生, 高文华. NCEP/NCAR 逐时分析与中国实测地表 温度和地面气温对比分析[J]. 气象, 2008, (2): 83-91. [ZHOU Qing, ZHAO Fengsheng, GAO Wenhua. Comparison and analysis between NCEP/NCAR every-6-hours analysis land surface and air temperature and 753 chinese stations’observation in 2005[J]. Me⁃ teorological Monthly, 2008, (2): 83-91. ] [24] SHI Xiaohui, XU Xiangde, XIE Lian. Reliability analyses of anom⁃ alies of NCEP/NCAR reanalyzed wind speed and surface air tem⁃ perature in climate change research in China[J]. Acta Meteorologi⁃ ca Sinica, 2007, (3): 320-333. [25] GULTEPE I, HEYMSFIELD A J. Introduction ice fog, ice clouds and remote sensing[J]. Pure and Applied Geophysics, 2016, 173 (9): 2977-2988. [26] 周声圳. 我国典型城市和高山地区碳质气溶胶及单颗粒混合状 态研究[D]. 济南: 山东大学, 2014. [ZHOU Shengzhen. Study on carbonaceous aerosols and mixing state of individual particles in typi⁃ cal urban and mountain areas in China[D]. Jinan: Shandong Universi⁃ ty, 2014. ] [27] 张小曳. 中国不同区域大气气溶胶化学成分浓度、组成与来源 特 征 [J]. 气 象 学 报, 2014, 72(6): 1108- 1117. [ZHANG Xiaoye. Characteristics of chemical components of aerosol particles in the various regions over China[J]. Acta Meteorologica Sinica, 2014, 72 (6): 1108-1117. ]
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