Zhou Xiaoxia, Wang Panxing, Duan Mingkeng, et al. Spatial and temporal structures of relationship between seasonal mean temperature and rainfall in China. J Appl Meteor Sci, 2007, 18(5): 601-609.
Citation: Zhou Xiaoxia, Wang Panxing, Duan Mingkeng, et al. Spatial and temporal structures of relationship between seasonal mean temperature and rainfall in China. J Appl Meteor Sci, 2007, 18(5): 601-609.

Spatial and Temporal Structures of Relationship Between Seasonal Mean Temperature and Rainfall in China

  • Received Date: 2006-05-23
  • Rev Recd Date: 2007-01-09
  • Publish Date: 2007-10-31
  • The interdecadal and interannual variation components of seasonal mean temperature and rainfall are extracted by applying spectrum analysis on monthly mean temperature and rainfall data of 160 stations during 1955—1998 in China. Evidence shows that the variances of interannual components are much larger than those of interdecadal parts, but it is the opposite while the variances are divided by their freedom degrees respectively, especially for temperature. In winter, most of the significant interdecadal variation areas lie in the northern half of China including Northeast China, North China and northeast part of Xinjiang. While in summer, the significant interdecadal variation areas locate in South China, Central China and Northwest China. As for the interannual variation of seasonal temperature, there are no significant areas both in winter and summer. In contrast with the seasonal temperature, the significant interdecadal and interannual areas of rainfall are fairly small and disconnected, among which two small patches of significant interannual variation in Shandong and Southeast China in winter are noticeable.It is implied in correlation analysis that the negative correlation between seasonal mean temperature and rainfall is remarkable in summer particularly over east of 105°E and south of 35°N of the main land, and it can be inferred that both anomalous hot dry and cool wet summer have more likelihood in most part of this region. For the purpose of verifying this point, observational station data are analyzed. The results present that 30 out of 44 years are either hot dry or cool wet summer in Yangtze Huaihe River Valley and South China, 21 out of 44 years in North China.Singular vector decomposing (SVD) are conducted to reveal the spatial and temporal features of the relationship between the two elements. It is indicated by the SVD modes that the two summer patterns are statistically significant in Yangtze Huaihe River Valley and South China. For years, both interdecadal and interannual time coefficients are negative, the rate of hot dry summer in Yangtze Huaihe River Valley is 6/8, and the rate of cool wet summer in South China is 5/8, while the reverse is true when time coefficients are positive, 6/7 cool wet summer in Yangtze Huaihe River Valley, and 4/7 hot dry summer in South China. The summer patterns occur out of phase in the two regions during the same year which is contributed by the negative correlation of summer mean temperature and rainfall on both interdecadal and interannual time scales.
  • Fig. 1  Geographic distribution of Fs and Ff of T′ in China

    (The light/dark shaded areas indicate level over 0.05 for interdecadal/interannual variations)(a)winter,(b)summer

    Fig. 2  Same as in Fig.1, but for R

    Fig. 3  The geographic distribution of correlation coefficients of T′ and R′ in China

    (the areas with dark/light shadings denote positive/ negative correlation over 0.05 level)(a)winter,(b)summer

    Fig. 4  Same as in Fig.3, but for Ts and Rs

    Fig. 5  Same as in Fig.3, but for Tf and Rf

    Fig. 6  The first SVD mode of s and s in China

    (a)the spatial distribution of s,(b)the spatial distribution of s, (c)the time coefficients for s(solid line)and s(dashed line) (light/ dark shaded areas denote positive/ negative correlation over 0.05 level)

    Fig. 7  Same as in Fig.6, but for f and f

    Table  1  The variance percentage of interdecadal and interannual components of T′and R′(unit:%)

    Table  2  The number of stations over 0.05 level of interdecadal and interannual variations of T′and R

    Table  3  The number of correlation stations over 0.05 level for t′~r′, ts~rs, and tf~rf

    Table  4  The standardized anomalies of summer rainfall, temperature and anomalous summer patterns of North China, Yangtz-Huaihe River Valley and South China

    Table  5  The parameters of the first SVD mode of ~, s~s and f~f

  • [1]
    陈隆勋, 邵永宁, 张清芬, 等.近四十年来我国气候变化实况的初步分析, 应用气象学报, 1991, 2(2):164-173. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19910215&flag=1
    [2]
    张庆云, 陈烈庭.近30年来中国气候的干湿变化.大气科学, 1991, 15(5):72-81. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK199105008.htm
    [3]
    李崇银, 朱锦红, 孙照渤.年代际气候变化研究.气候与环境研究, 2002, 7:209-221. http://www.cnki.com.cn/Article/CJFDTOTAL-QHYH200202007.htm
    [4]
    章基嘉, 高学杰.1891-1990年期间北半球大气环流和中国气候的变化.应用气象学报, 1994, 5(1):1-9. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19940103&flag=1
    [5]
    周连童, 黄荣辉.关于我国夏季气候年代际变化特征及其可能成因的研究.气候与环境研究, 2003, 8:274-290. http://www.cnki.com.cn/Article/CJFDTOTAL-QHYH200303002.htm
    [6]
    范广洲, 吕世华, 程国栋.华北地区夏季水资源特征分析及其对气候变化的响应.高原气象, 2002, 21(1):45-51. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX200201007.htm
    [7]
    叶笃正, 黄荣辉.长江黄河流域旱涝规律和成因研究.济南:山东科学技术出版社, 1996:387.
    [8]
    王绍武, 赵宗慈.未来50年中国气候变化趋势的初步研究.应用气象学报, 1995, 6(3):333-342. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19950352&flag=1
    [9]
    张素琴, 任振球, 李松勤.全球温度变化对我国降水的影响.应用气象学报, 1994, 5(3):333-339. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19940358&flag=1
    [10]
    施能.我国东部夏季雨型的统计诊断分析方法.南京气象学院学报, 1997, 20(2):181-185.
    [11]
    严中伟.华北降水年代际振荡及其与全球温度变化的联系.应用气象学报, 1999, 10(增刊):16-22. http://www.cnki.com.cn/Article/CJFDTOTAL-YYQX9S1.002.htm
    [12]
    谢庄, 王桂田.北京地区气温和降水百年变化规律的探讨.大气科学, 1994, 18(6):683-690. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK406.004.htm
    [13]
    陈文海, 柳艳香, 马柱国.中国1951-1997年气候变化趋势的季节特征.高原气象, 2002, 21(3):251-257. http://www.cnki.com.cn/Article/CJFDTOTAL-GYQX200203004.htm
    [14]
    陆日宇.华北汛期降水量变化中年代际和年际尺度的分离.大气科学, 2002, 26:611-624. http://www.cnki.com.cn/Article/CJFDTOTAL-DQXK200205002.htm
    [15]
    Li Liping, Wang Panxing, Li hong.Interdecadal and interannual variabilities of air and sea and their relations over the Pacific.Acta Meteorologica Sinica, 2004, 18(2):227-244. http://mall.cnki.net/magazine/article/QXXW200402008.htm
    [16]
    Livezey R E, Chen W Y.Statistical field significance and its determination by Mante Carlo techniques.Mon Wea Rev, 1983, 111(1):46-59. doi:  10.1175/1520-0493(1983)111<0046:SFSAID>2.0.CO;2
    [17]
    Storch Hans von, Zwiers Francis W.Statistical Analysis in Climate Research.Cambridge University Press, 2000:327-334. https://www.amazon.com/Statistical-Analysis-Climate-Research-Storch-ebook/dp/B00CF0JKZE
    [18]
    段明铿, 王盘兴, 林开平.我国夏季东部区域降水异常年代际、年际变化分析.南京气象学院学报, 2005, 28(1):93-100. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX20050100C.htm
    [19]
    王盘兴, 周伟灿, 王欣, 等.赤道太平洋区域风应力与海表温度年际异常的奇异值分解.应用气象学报, 1998, 9(3):265-282. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19980339&flag=1
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    • Received : 2006-05-23
    • Accepted : 2007-01-09
    • Published : 2007-10-31

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