• DocumentCode
    1985967
  • Title

    Statistical Analysis of Winter Precipitation and Minimum Temperature in Southern China for 1959-2008

  • Author

    Wu, Xianghua ; Niu, Shengjie ; Yu, Huaying

  • Author_Institution
    Coll. of Atmos. Phys., Nanjing Univ. of Inf. Sci. & Technol., Nanjing
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    269
  • Lastpage
    272
  • Abstract
    Special features of winter precipitation and minimum temperature are studied on the basis of 1959-2008 precipitation data and temperature data in January over Hunan, Hubei, Guizhou, Guangxi, Jiangxi and Anhui. In the 6 southern-China provinces, monthly precipitation, rain days and minimum temperature have growing tendencies. Both of monthly precipitation and rain days with larger values in the southeast than in the northwest, are closely related to latitude, longitude and altitude. Similarity coefficient of them approaches 1, implying the similarity. And values of minimum temperature in the southwest are larger than in the northwest, discriminatively with 3 low centers in south Anhui, southwest Hubei and mid-east Hunan. The generalized extreme value distribution model passed significance test (alpha=0.01) has been established with minimum temperature, resulting the extreme value -6.78degC(-7.41degC) with a return period of 50a(100a). Finally, researches show no correlation between winter precipitation and minimum temperature, but the first 6 pairs of canonical correlation variables have correlation coefficients larger than 0.98.
  • Keywords
    atmospheric precipitation; atmospheric temperature; hydrological techniques; statistical analysis; AD 1959 to 2008; Southern China; generalized extreme value distribution model; minimum temperature; precipitation data; similarity coefficient; statistical analysis; temperature data; winter precipitation; Educational institutions; Educational technology; Frequency; Meteorology; Physics education; Rain; Statistical analysis; Temperature distribution; Temperature sensors; Testing; canonical correlation analysis; coefficient of kurtosis; coefficient of skewness; generalized extreme value distribution (GEV); similarity coefficient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.54
  • Filename
    5070149