主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2018, Vol. 34 ›› Issue (6): 148-155.doi: 10.3969/j.issn.1673-503X.2018.06.018

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Homogeneity test and correction of temperature series in Chongqing

ZHAO Mei-yan1, YU Jun1, JIANG Zhen2, SHAN Wei-wei3   

  1. 1. Meteorological Information and Technical Support Center of Chongqing, Chongqing 401147, China;
    2. Meteorological Service Center of Chongqing, Chongqing 401147, China;
    3. Meteorological Information Center of Liaoning Province, Liaoning Shenyang 110166, China
  • Received:2018-01-18 Revised:2018-04-03 Online:2018-12-31 Published:2018-12-31

Abstract: With the historical information of each station,using the software package of RHtest V5 and MASH V3.03,the homogeneity of the surface air temperature data from 1951 to 2015 in Chongqing was tested.Results indicate that the inhomogeneity of temperature series can be detected by both two methods.Location change of meteorological station is the main factor causing the inhomogeneity of temperature series.Also,some changes of the environment around the station,the replace of the observation equipment and the operational running of automatic station exert impacts on continuity of temperature data.The corrected amount and direction using RHtest method agree with that using MASH method.Moreover,the climatic trends of corrected air temperature using the two methods are similar.The number of break points detected by MASH method is more than that by RHtest method because of their different rules for judging inhomogeneity.Researchers at the National Meteorological Information Center had tested the homogeneity of surface air temperature data for Chongqing using RHtest method and the results are similar to this study.Finally,the climatic trend analysis using the temperature series before and after correction shows that the homogeneity of the corrected temperature is better than that before correction.

Key words: Temperature series, Homogeneity, RHtest method, MASH method, Climatic trend

CLC Number: