Liao Jie, Xiong Anyuan. Introduction and quality analysis of Chinese aircraft meteorological data. J Appl Meteor Sci, 2010, 21(2): 206-213.
Citation: Liao Jie, Xiong Anyuan. Introduction and quality analysis of Chinese aircraft meteorological data. J Appl Meteor Sci, 2010, 21(2): 206-213.

Introduction and Quality Analysis of Chinese Aircraft Meteorological Data

  • Received Date: 2009-07-14
  • Rev Recd Date: 2010-02-20
  • Publish Date: 2010-04-30
  • Meteorological data observed on civil airplanes in China in recent years is all the AMDAR reports spark plugged to obtain by the AMDAR Program of WMO. For a comprehensive understanding of the current situation and quality of Chinese aircraft meteorological data, the temporal and spatial distribution character of Chinese AMDAR data from 2003 to 2009 are summarized, synthesizing the AMDAR reports of these six years observed through aircrafts taking off and landing phase to aircraft observational profiles and analyzing its usability. Moreover, in reference to the aircraft data quality control principium used by NCEP, the quality of global AMDAR data and Chinese AMDAR data from May 2003 to April 2009 are checked with a quality control method, which consists of six steps: Metadata check, validity check of air temperature and wind, aviation track organization, position consistency check, temporal consistency check of air temperature and attitude, and comprehensive analysis of quality control code. Based on the result of quality control, the temporal and spatial distribution characteristic of error data is analyzed. The statistical result shows that, the amount of Chinese AMDAR reports has been increasing year by year. In 2003, there are about 50000 files per month. In 2009, the number is about 200000 per month. Two thirds of the reports concentrate in take off and landing phase. The analysis result shows that, all of the aircraft observational profiles cover over 110 airports, which are mainly distributed in the east central areas, especially some large and medium cities. The vertical resolution of almost all the aircraft observational profiles is higher than 10 hPa. With the development of Chinese AMDAR program, the proportion of profiles with high resolution increases year by year. In 2008, there are about 78.9 percent aircraft observational profiles whose vertical resolution is higher than 2 hPa. Case study result shows that, although the vertical trend is very close, there is a little difference at low level between the temperature observed by aircraft and by radiosonde. In addition, there is also a little difference among the temperature observed at the same height by different aircrafts. The result of quality control shows that the temperature error rate of Chinese AMDAR data is lower than the global level, but the wind error rate is to the contrary. The error data is mainly concentrated in the near surface level. The quality of Chinese AMDAR data has improved significantly compared with previous years. From January 2008 to April 2009, the monthly error rate of wind speed is less than 1.3 percent, and the monthly error rate of temperature is less than 0.2 percent. In conclusion, the source and quality of Chinese aircraft meteorological data is stable,and as an important part of upper air observation data, aircraft meteorological data is of great application value.
  • Fig. 1  Monthly number of Chinese AMDAR reports from May 2003 to April 2009

    Fig. 2  Vertical variation of number of Chinese AMDAR reports from May 2003 to December 2008

    Fig. 3  Distribution of aircraft observational profiles in China from May 2003 to December 2008

    Fig. 4  Frequency distribution of vertical resolution of Chinese aircraft observational profiles from 2003 to 2008

    Fig. 5  Temperature and wind speed observed by aircraftin Beijing on 9 April 2009 (a) time-heightsection of temperature and wind speed, (b) vertical variation of temperature observed by aircraft and radiosonde in Beijing at 12:009 April 2009

    Fig. 6  Yearly error rates of temperature and wind speed of Chinese and global AMDAR reports from May 2003 to April 2009

    Table  1  Monthly error rates of temperature and wind speed of Chinese AMDAR reports from May 2003 to April 2009 (unit:%)

    Table  2  Temperature and wind speed error rates in different levels of Chinese AMDAR reports in 2008 (unit:%)

  • [1]
    世界气象组织.气象仪器观测方法和指南.中国气象局,译.北京:气象出版社,1992.
    [2]
    姚展予,濮江平,刘卫国,等.飞机探测云物理数据集的建立和应用.应用气象学报,2004,15(增刊):68-74. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX2004S1010.htm
    [3]
    NOAA,Status Report on AMDAR Programme in USA,Santiago,Chile,2005.
    [4]
    Schwartz B,Benjamin S G,A comparison of temperature and wind measurements from ACARS-equipped aircraft and raw-insondes,Weather and Forecasting,1995,10:528-544. doi:  10.1175/1520-0434(1995)010<0528:ACOTAW>2.0.CO;2
    [5]
    Stefaan M A Rodts,Peter G Duynkerke,Harm J J Jonker,Size distributions and dynamical properties of shallow cumu-lus clouds from aircraft observations and satellite data,Jour-nal of Atmospheric Sciences,2003,60:1895-1912. doi:  10.1175/1520-0469(2003)060<1895:SDADPO>2.0.CO;2
    [6]
    黄卓,李延香,王慧,等.AMDAR 资料在天气预报中的应用.气象,2006,32(9):42-48. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX200609007.htm
    [7]
    Cardinali C,Isaksen L,Andersson E,Use and impact of au-tomated aircraft data in a global 4D-var data assimilation sys-tern,Monthly Weather Review,2003,131:1865-1877. doi:  10.1175//2569.1
    [8]
    Pouponneau B,Ayrauh F,Bergot T,The impact of aircraft data on an atlantic cyclone analyzed in terms of sensi-tivities and trajectories,Weather and Forecasting,1999,14:67-83. doi:  10.1175/1520-0434(1999)014<0067:TIOADO>2.0.CO;2
    [9]
    Talagrand O,Courtier P,Variational assimilation of meteor-ological observations with the adjoint vorticity equation-Part 1,Theory Quart J Roy Meteor Soc,1987,113:1311-1328. doi:  10.1002/qj.49711347812
    [10]
    Liang Aimin,Zhang Qinghong,Liu Kaiyu,The 3D-var data assimilation experiments on a dense fog event over the Central Plain of China,Acta Meteorologica Sinica,2009,23(1):116-127.
    [11]
    Rukhovets L,Tenenbaum J,Geller M,The impact of addi-tional aircraft data on the Goddard Earth Observing System analyses,Monthly Weather Review,1998,126:2927-2941. doi:  10.1175/1520-0493(1998)126<2927:TIOAAD>2.0.CO;2
    [12]
    王伯民.基本气象资料质量控制综合判别法的研究.应用气象学报,2005,15(增刊):50-59. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX2004S1008.htm
    [13]
    刘小宁,鞠晓慧,范邵华.空间回归检验方法在气象资料质量检验中的应用.应用气象学报,2006,17(1):37-43. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060106&flag=1
    [14]
    张强,郭发辉,许松.全球地面天气报资料质量控制和数据集特征分析.应用气象学报,2004,15(增刊):121-127. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060470&flag=1
    [15]
    任芝花,许松,孙化南,等.全球地面天气报历史资料质量检查与分析.应用气象学报,2006,17(4):412-420. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060470&flag=1
  • 加载中
  • -->

Catalog

    Figures(6)  / Tables(2)

    Article views (5301) PDF downloads(2179) Cited by()
    • Received : 2009-07-14
    • Accepted : 2010-02-20
    • Published : 2010-04-30

    /

    DownLoad:  Full-Size Img  PowerPoint