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JOURNAL OF DESERT RESEARCH  2009, Vol. 29 Issue (1): 174-182    DOI:
天气与气候     
Seasonal Variation and Statistic Characteristics of Aerosols Optical Properties near Dust Region

LIU Jian-jun1,2, ZHENG You-fei1,2, WU Rong-jun2

1.Jiangsu Key Laboratory of Meteorological Disaster, Nanjing 210044, China; 2.College of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
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Abstract  

A ground-based sky radiometer was used to measure the direct and diffuse solar irradiances from Jan. 1999 to Mar. 2001 in Dunhuang area, one near dust region in China. The aerosol optical depth (AOD), volume size distributions, the real part of refraction index were simultaneously retrieved using the ‘SKYRAD model and their seasonal variation and statistic characteristics were analyzed. The results revealed that the aerosol optical depths varied seasonally, which increased from December, reaching its maximum value in May or April, and decreased from May to August, then also increased from September to October and with a November minimum. And the variation in Angstrom exponent (alpha) was opposite to that in AOD. The probability distributions of AOD and alpha were consistent with their seasonal variation and approximately follow a log-normal probability distribution and a normal probability distribution, respectively. The relationship between alpha and AOD showed a similar relationship in four seasons and could be characterized by one simple exponential function. The aerosol volume size distributions could be characterized by the sum of two log-normals distributions, and represented an accumulation mode with a radius of about 0.25 μm, and a coarse mode with a radius of about 7.7 μm, and there was a pseudo-mode with a radius of about 1.69 μm between the accumulation mode and coarse mode in spring. The real parts of the refraction index rose dramatically in spring, and exhibited a low sensitivity to wavelengths, meanwhile, the biggest values of probability distribution in four seasons were range between 1.54~1.56. The probability distributions of the real parts of the refraction index were fitted with Gauss Model under two conditions. The results showed that the probability distributions of the real parts of the refraction index could be better described by Gauss model, but the characteristic of which in spring was contrary with those in other seasons under two conditions.

Key words:  sky radiometer      aerosol optical properties      near dust region      seasonal variation      statistic characteristics     
Received:  21 August 2007      Published:  20 January 2009
ZTFLH:  X513  
Articles by authors
LIU Jian-jun
ZHENG You-fei
WU Rong-jun

Cite this article: 

LIU Jian-jun;ZHENG You-fei;WU Rong-jun. Seasonal Variation and Statistic Characteristics of Aerosols Optical Properties near Dust Region. JOURNAL OF DESERT RESEARCH, 2009, 29(1): 174-182.

URL: 

http://www.desert.ac.cn/EN/     OR     http://www.desert.ac.cn/EN/Y2009/V29/I1/174

[1]Forster P,V Ramaswamy,P Artaxo,et al.Changes in Atmospheric Constituents and in Radiative Forcing [R]∥Solomon S,Qin D,Manning M,et al.,(eds.).Climate Change 2007:The Physical Science Basis.Contribution of Working Group Ⅰ to the Forth Assessment Report of the Intergovernmental Panel on Climate Changes.Cambridge,United Kingdom and New York,NY,USA:Cambridge University Press,2007.
[2]许黎,柳中明,石广玉.台湾地区大气气溶胶光学特性的测量与分析[C].丁一汇.中国的气候变化与气候影响的研究.北京:气象出版社,1997:116-123.
[3]罗云峰,吕达仁,周秀骥,等.30年来我国大气气溶胶光学厚度平均分布特征分析[J].大气科学,2002,26(6):721-730.
[4]延昊,矫梅燕,毕宝贵,等.塔克拉玛干沙漠中心的沙尘气溶胶观测研究[J].中国沙漠,2006,26(3):389-393.
[5]沈建国,李嘉鹏,牛生杰,等.沙尘天气中气溶胶光学特性的时空分布特征[J].中国沙漠,2007,27(3):495-501.
[6]王跃思,辛金元,李占清,等.中国地区大气气溶胶光学厚度与Angstrom参数联网观测(2004-08—2004-12) [J].环境科学,2006,27(9):1703-1711.
[7]Dubovik O,Holben B N,Eck T F,et al.Variability of absorption and optical properties of key aerosol types observed in worldwide locations [J].J Atmos Sci,2002,59:590-608.
[8]KaufmanY J,Tanre D,Boucher O.A satellite view of aerosols in the climate system [J].Nature,2002,419:215-223.
[9]William P,Petr C,Mavendra D, et al.Trends in aerosol optical depth for cities in India[J/OL].Atmospheric Environment,2007.doi:10.1016/j.atmosenv.2007.05.055.
[10]Behnert I,Matthias V,Doerffer R.Aerosol climatology from ground-based measurements for the southern North Sea[J].Atmospheric Research,2007,84:201-220.
[11]AMS.Climate change research; issues for the atmospheric and related sciences.American Meteorological Society (AMS) executive summary[R].Bull Am Meteorol Soc,2003,84:508-515.
[12]IPCC.Climate Change 2001:The Scientific Basis[R]∥Solomon S,Qin D,Manning M,et al.,(eds.).Contribution of Working Group I to the Forth Assessment Report of the Intergovernmental Panel on Climate Change.Cambridge,United Kingdom and New York,NY,USA:Cambridge University Press,2007.
[13]吕达仁,周秀骥,邱金桓.消光-小角散射综合遥感气溶胶分布的原理与数值试验[J].中国科学,1981,12:1517-1523.
[14]Dubovik O.A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements[J].J Geophys Res,2000,105(D16):20673-20696.
[15]WMOStrategy for the Implementation of the Global Atmosphere Watch Programme (2001—2007),WMO No.142[M].Geneva:World Meteorological Organization,2001:43-45.
[16]Holben B N,Kaufman Y J,Eck T F,et al.AERONET—a federated instrument network and data archive for aerosol characterization[J].Remote Sens Environ,1998,66:1-16.
[17]Takamura T,Nakajima T,Okada I,et al.Aerosol cloud-radiation study using the SKYNET data[R/OL].The First ADEC Workshop,Tokyo,Japan 2002.http://www.aeoliandust.com.
[18]延昊,矫梅燕,毕宝贵,等.国内外气溶胶观测网络发展进展及相关科学计划[J].气象科学,2006,26(1):110-117.
[19]Charlson R J.Extending atmospheric aerosol measurements to the global scale[C]∥Boutron C F,(Ed.).ERCA,Vol 4.From Weather Forecasting to Exploring the Solar System.EDP Less Ulis,France,2000:2747-2764.
[20]李霞,胡秀清,崔彩霞,等.南疆盆地沙尘气溶胶光学特性及我国沙尘天气强度划分标准的研究[J].中国沙漠,2005,25(4):488-495.
[21]姚济敏,张文煜,袁九毅,等.典型干旱区沙尘气溶胶光学厚度及粒度谱分布的初步分析[J].中国沙漠,2006,26(1):77-80.
[22]韩晶晶,王式功,祈斌,等.气溶胶光学厚度的分布特征及其与沙尘天气的关系[J].中国沙漠,2006,26(3):362-369.
[23]O’Neill N T,Ignatov A,Holben B N,et al.The lognormal distribution as a reference for reporting aerosol optical depth statistics;empirical tests using multi-year,multi-site AERONET sunphotometer data[J].Geophys Res Lett,2000,27(20):3333-3336.
[24]Tonna G,Rao Ruizhong,Nakajima T.Aerosol features retrieved from solar aureole data:a simulation study concerning a turbid atmosphere[J].Appl Opt,1995,34(21):4486- 4499.
[25]Nakajima T,Tonna T,Rao Ruizhong,et al.Use of sky brightness measurements from ground for remote sensing of particulate polydispersions[J].Appl Opt,1996,35(15):2672-2686.
[26]Smirnov A,Holben B N,Slutsker I,et al.Cloud screening and quality control algorithms for the AERONET data base [J].Remote Sens Environ,2000,73:337-349.
[27]Cheng Tiantao,Wang Hua,Xu Yongfu,et al.Climatology of aerosol optical properties in northern China[J].Atmospheric Environment,2006,40(8):1495-1509.
[28]Dalmeida G A.On the variability of desert aerosol radiative characteristics[J].J Geophys Res,1987,92:3017-3026.
[29]夏祥鳌,王普才,陈洪滨,等.中国北方地区春季气溶胶光学特性地基遥感研究[J].遥感学报,2005,9(4):429-437.
[30]Yu Xingna,Cheng Tiantao,Chen Jianmin,et al.A comparison of dust properties between China continent and Korea,Japan in East Asia [J].Atmospheric Environment,2006,40(30):5787-5797.

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