Research on Different Types of Cloud and Variation Characteristics of Hydrometeors in Cloud over China and Its Neighborhood in Daytime

  • LI Haoran ,
  • SUN Xuejin ,
  • WANG Minyan ,
  • WEI Kejing ,
  • ZHANG Riwei ,
  • LIU Lei ,
  • LI Yan ,
  • ZHOU Yongbo
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  • College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;2. National Meteorological Information Center, China Meteorological Administration, Beijing 100081, China;3. Northwest Institute of Nuclear Technology, Xi'an 710024, China

Received date: 2014-06-24

  Online published: 2015-12-28

Abstract

Based on the CloudSat 2B-CLDCLASS and 2B-CWC-RO data from December 2011 to November 2013, the distribution of cloud amounts and cloud water path (CWP) for single layer and multi-layer respectively for different cloud types over China and its neighborhood in the daytime were analyzed. Also the researches on the seasonal variation of the cloud water path over this area and how the macroscale circulation affects the variation were performed. The results show that the annual mean cloud amounts and CWP of single layer are in general more than the cloud overlapping's over this area. The 30°N is a clear north/south boundary for cloud amounts and CWP, which are relatively high in the north. The CWP of this area is greatly influenced by macro scale circulation,water vapor condition and terrain, and shows a feature that the content of the hydrometeors in summer is more than that in winter. Besides, the distribution of CWP is affected by the seasonal variation of the Westerlies substantially.

Cite this article

LI Haoran , SUN Xuejin , WANG Minyan , WEI Kejing , ZHANG Riwei , LIU Lei , LI Yan , ZHOU Yongbo . Research on Different Types of Cloud and Variation Characteristics of Hydrometeors in Cloud over China and Its Neighborhood in Daytime[J]. Plateau Meteorology, 2015 , 34(6) : 1625 -1635 . DOI: 10.7522/j.issn.1000-0534.2014.00129

References

[1]Slingo A, Slingo J M. The response of a general circulation model to cloud longwave radiative forcing. I:Introduction and initial experiments[J]. Quart J Roy Meteor Soc, 1988, 114(482):1027-1062.
[2]Arking A. The radiative effects of clouds and their impact on climate[J]. Bull Amer Meteor Soc, 1991, 72(6):795-813.
[3]周毓荃,赵姝慧.CloudSat卫星及其在天气和云观测分析中的应用[J].南京气象学院学报,2008,31(5):603-614.
[4]Solomon S. Climate change 2007-the physical science basis: Working group I contribution to the fourth assessment report of the IPCC[M].Cambridge: Cambridge University Press,2007:589-662.
[5]Taylor K E,Ghan S J.An analysis of cloud liquid water feedback and global climate sensitivity in a general circulation model[J].J Climate,1992,5(9):907-919.
[6]Shupe M D,Intrieri J M.Cloud radiative forcing of the Arctic surface:The influence of cloud properties,surface albedo, and solar zenith angle[J].J Climate,2004,17(3):616-628.
[7]Han Q,Rossow W B,Zeng J,et al.Three different behaviors of liquid water path of water clouds in aerosol–cloud interactions[J].J Atmos Sci,2002,59(3):726-735.
[8]刘洪利,朱文琴,宜树华,等.中国地区云的气候特征分析[J].气象学报,2003,61(4):466-473.
[9]Yu R,Wang B,Zhou T. Climate effects of the deep continental stratus clouds generated by the Tibetan Plateau[J].J Climate,2004,17(13):2702-2713.
[10]Li Y,Yu R,Xu Y,et al.Spatial distribution and seasonal variation of cloud over China based on ISCCP data and surface observations[J].J Meteor Soc Japan,2004,82(2):761-773.
[11]丁守国.中国地区云及其辐射特性的研究[D].北京:中国科学院大气物理研究所,2004.
[12]李兴宇,郭学良,朱江.中国地区空中云水资源气候分布特征及变化趋势[J].大气科学,2008,32(5):1094-1106.
[13]刘健.利用卫星数据分析青藏高原云微物理特性[J].高原气象,2013,32(1):38-45,doi:10. 7522/j. issn.1000-0534. 2013. 00005.
[14]陈勇航,黄建平,陈长和,等.西北地区空中云水资源的时空分布特征[J].高原气象,2005,24(6):905-908.
[15]汪宏七,赵高祥.云微物理特性对云光学和云辐射性质的影响[J].应用气象学报,1996,7(1): 36-44.
[16]Barker H W,Korolev A V,Hudak D R,et al. A comparison between CloudSat and aircraft data for a multilayer,mixed phase cloud system during the Canadian CloudSat-CALIPSO Validation Project[J].J Geophys Res,2008,113(D8), doi:10. 1029/2008JD009971.
[17]Mace G G,Marchand R,Zhang Q,et al.Global hydrometeor occurrence as observed by CloudSat:Initial observations from summer 2006[J].Geophys Res Lett,2007,34(9): L09808,doi:10. 1029/2006GL029017.
[18]王胜杰,何文英,陈洪滨,等.利用 CloudSat 资料分析青藏高原,高原南坡及南亚季风区云高度的统计特征量[J].高原气象,2010,29(1):1-9.
[19]李延江,陈小雷,张宝贵,等.渤海西海岸带大暴雨中尺度云团空间结构分析[J].高原气象,2013,32(3):818-828,doi:10. 7522/j. issn. 1000-0534. 2012. 00075.
[20]Luo Y,Zhang R,Wang H.Comparing occurrences and vertical structures of hydrometeors between eastern China and the Indian monsoon region using CloudSat/CALIPSO data[J].J Climate,2009,22(4):1052-1064.
[21]杨大生,王普才.中国地区夏季 6 ~ 8 月云水含量的垂直分布特征[J].大气科学,2012,36(1):89-101.
[22]Heng Z,Fu Y,Liu G,et al. A study of the distribution and variability of cloud water using ISCCP,SSM/I cloud product, and reanalysis datasets[J].J Climate,2014,27(9): 3114-3128.
[23]王帅辉,韩志刚,姚志刚,等.基于 CloudSat 资料的中国及周边地区各类云的宏观特征分析[J].气象学报,2012,69(5):883-899.
[24]王帅辉,韩志刚,姚志刚,等.基于 CloudSat 资料的中国及周边地区云垂直结构统计分析[J].高原气象,2011,30(1):38-52.
[25]Hartmann D L,Ockert-Bell M E,Michelsen M L.The effect of cloud type on earth's energy balance:global analysis[J].J Climate,1992,5(11):1281-1304.
[26]Chen T,Rossow W B,Zhang Y. Radiative effects of cloud-type variations[J].J Climate,2000,13(1):264-286.
[27]Wang Z,Sassen K.Level 2 cloud scenario classification product process description and interface control document[J].Version,2007(5):50.
[28]Austin R T.Level 2B radar-only cloud water content (2B-CWC-RO) process description document[R].CloudSat project report,2007.
[29]Rossow W B,Walker A W,Garder L C. Comparison of ISCCP and other cloud amounts[J].J Climate,1993,6(12): 2394-2418.
[30]Warren S G,Hahn C J,London J.Simultaneous occurrence of different cloud types[J].J Climate Appl Meteor,1985,24(7):658-667.
[31]Sassen K,Wang Z.Classifying clouds around the globe with the CloudSat radar:1-year of results[J].Geophys Res Lett, 2008,35(4),L04805,doi:10. 1029/2007GL032591.
[32]朱素行,徐海明,徐蜜蜜.亚洲夏季风区中尺度地形降水结构及分布特征[J].大气科学,2010,34(1):71-82.
[33]Rossow W B,Schiffer R A. Advances in understanding clouds from ISCCP[J].Bull Amer Meteor Soc,1999,80(11): 2261-2287.
[34]张华,杨冰韵,彭杰,等.东亚地区云微物理量分布特征的CloudSat卫星观测研究[J].大气科学,2015,39(2):235-248,doi:10. 3878/j. issn. 1006-9895. 1408. 13313.
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