Ren Yuyu, Ren Guoyu, Zhou Jiangxing. The ideal density and distribution of China climate network for monitoring surface climate change. J Appl Meteor Sci, 2012, 23(2): 205-213.
Citation: Ren Yuyu, Ren Guoyu, Zhou Jiangxing. The ideal density and distribution of China climate network for monitoring surface climate change. J Appl Meteor Sci, 2012, 23(2): 205-213.

The Ideal Density and Distribution of China Climate Network for Monitoring Surface Climate Change

  • Received Date: 2011-06-24
  • Rev Recd Date: 2011-12-15
  • Publish Date: 2012-04-30
  • The China national climate observation network composed of 2416 stations are taken as the reference station network, and correlations of surface air temperature series precipitation series between the reference station network and analyzed station network are used to investigate the monitoring ability for surface climate change. The relationships between the monitoring requirements and the station number are analyzed for 2.5°by 2.5°, 2.5°by 3.5°, 5.0°by 5.0° latitude/longitude grid cells. Results show that the needed amount of stations decreases rapidly with the lowing of ability (standard) required for monitoring. Taking 2.5° by 2.5° grid cell for example, the needed amount of stations decreases from 750 to 377 when the monitoring requirements for temperature change from 0.99 to 0.95, and the needed amount of stations decreases from 670 to 417 when the monitoring requirements for precipitation change from 0.95 and 0.90. With the increase of grid cells, fewer stations are needed for the same monitoring requirement. In areas of rugged terrain, undulating terrain and transition zone from mountains to the plains and plateaus, higher station densities are generally needed. The areas where need high-density stations are mainly located in the mountainous regions, including the Sichuan Basin, the Wuyi Mountains, the Loess Plateau, the Qinling Mountains, the Southeast Hills, and the eastern mountainous areas of Northeast China. The more complex the terrain is, the lower the spatial consistency of climate change is, and the more stations are required. In general, monitoring for precipitation change requires higher density of stations. For 5° by 5° grid, however, the difference of station densities needed between temperature and precipitation is relatively small. The cause needs further study. The distributions of stations at the central and the west parts of Tibetan Plateau and Taklimakan Desert are not enough due to the harsh natural environment. Further research is needed in these regions, favorably in combination with other methods. In addition, the current stations are often located in the valleys and foothills rather than those on the slopes or on the peaks in mountainous regions, which has lowered the representativeness and enlarged the uncertainties.
  • Fig. 1  Distribution of 2416-station (a) and the number of stations in each grid cell with the resolution of 2.5°×2.5°(b)

    Fig. 2  The relationship of cM of temperature (a) and precipitation (b) to station number

    Fig. 3  Frequency distributions for network meeting the goal of temperature monitoring

    Fig. 4  Grid cell densities of 377-station network for satisfying temperature monitoring goal of cM=0.95 during 1966—1995g

    Fig. 5  Grid cell densities of 750-station network for satisfying temperature monitoring goal of cM=0.99 during 1966—1995

    Fig. 6  Frequency distributions for network meeting the goal of precipitation monitoring

    Fig. 7  Grid cell densities of 417-station network satisfying precipitation monitoring goal of cM=0.90 during 1966—1995

    Fig. 8  Grid cell densities of 670-station network satisfying precipitation monitoring goal of cM=0.95 during 1966—1995

    Fig. 9  Grid cell densities of station network satisfying monitoring goal of cM=0.90 during 1966—1995(2.5°×3.5°)

    Fig. 10  Grid cell densities of station network satisfying monitoring goal of cM=0.90 during 1966—1995(5.0°×5.0°)

  • [1]
    任国玉, 初子莹, 周雅清, 等.中国气温变化研究最新进展.气候与环境研究, 2005, 10(4):701-716. http://www.cnki.com.cn/Article/CJFDTOTAL-QHYH200504001.htm
    [2]
    张人禾.气候观测系统及其相关的关键问题.应用气象学报, 2006, 17(6):705-710. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=200606119&flag=1
    [3]
    Peterson T C, Daan H, Jones P D. Initial selection of a GCOS surface network. Bull Amer Meteor Soc, 1997, 78: 2145-2152. doi:  10.1175/1520-0477(1997)078<2145:ISOAGS>2.0.CO;2
    [4]
    周尚河.全国高空资料质量控制和建库方法的研究.应用气象学报, 2000, 11(3):364-370. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20000353&flag=1
    [5]
    黄嘉佑, 刘小宁, 李庆祥.中国南方沿海地区城市热岛效应与人口的关系研究.热带气象学报, 2004, 20(6):713-722. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX20040600B.htm
    [6]
    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://www.cnki.com.cn/Article/CJFDTotal-YYQX2004S1017.htm
    [7]
    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, 2004, 15(增刊):50-59. http://www.cnki.com.cn/Article/CJFDTotal-YYQX2004S1008.htm
    [8]
    林学椿, 于淑秋, 唐国利.北京城市化进展与热岛强度关系的研究.自然科学进展, 2005, 15(7):882-886. http://www.cnki.com.cn/Article/CJFDTOTAL-ZKJZ200507024.htm
    [9]
    吴增祥.气象台站历史沿革信息及其对观测资料序列均一性影响的初步分析.应用气象学报, 2005, 16(4):461-467. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20050458&flag=1
    [10]
    Ren G Y, Chu Z Y, Chen Z H, et al. Implications of temporal change in urban heat island intensity observed at Beijing and Wuhan stations. Geophys Res Lett, 2007, 34, L05711, doi: 10.1029/2006GL027927.
    [11]
    Hubbard K G. Spatial variability of daily weather variables in the high plains of the USA. Agric Forest Met, 1994, 68: 29-41. doi:  10.1016/0168-1923(94)90067-1
    [12]
    DeGaetano A T. Spatial grouping of United States climate stations using a hybrid clustering approach. Int J Climatol, 2001, 21: 791-807. doi:  10.1002/(ISSN)1097-0088
    [13]
    Janis M J, Hubbard K G, Redmond K T. Station density strategy for monitoring long-term climatic change in the contiguous United States. J Climate, 2004, 17: 151-162. doi:  10.1175/1520-0442(2004)017<0151:SDSFML>2.0.CO;2
    [14]
    Janis M J, Hubbard K G, Redmond K T. Determining the Optimal Number of Stations for the United States Climate Reference Network. Final Report to NOAA/NCDC, 2002.
    [15]
    赵瑞霞, 李伟, 王玉彬, 等.空间结构函数在北京地区气象观测站网设计中的应用.应用气象学报, 2007, 18(1): 94-101. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20070117&flag=1
    [16]
    von Storch H, Zwiers F W. Statistical Analysis in Climate Research. Cambridge: Cambridge University Press, 1999.
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    • Received : 2011-06-24
    • Accepted : 2011-12-15
    • Published : 2012-04-30

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