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

气象与环境学报 ›› 2018, Vol. 34 ›› Issue (6): 148-155.doi: 10.3969/j.issn.1673-503X.2018.06.018

• 简报 • 上一篇    下一篇

重庆地区气温序列均一性检验及订正

赵美艳1, 余君1, 蒋镇2, 单薇薇3   

  1. 1. 重庆市气象信息与技术保障中心, 重庆 401147;
    2. 重庆市气象服务中心, 重庆 401147;
    3. 辽宁省气象信息中心, 辽宁 沈阳 110166
  • 收稿日期:2018-01-18 修回日期:2018-04-03 出版日期:2018-12-31 发布日期:2018-12-31
  • 通讯作者: 余君,yujun0912@foxmail.com。 E-mail:yujun0912@foxmail.com
  • 作者简介:赵美艳,女,1982年生,工程师,主要从事气象资料处理、分析和应用,E-mail:zmy.0801@163.com。
  • 基金资助:
    重庆市气象局业务技术攻关团队项目(ywggtd-201614)资助。

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

摘要: 利用RHtest V5和MASH V3.03软件包并结合完善的台站历史沿革信息分别对重庆地区1951-2015年的逐年、月、日平均气温序列进行了均一性分析。结果表明:两种方法均能检验出重庆地区相关台站气温序列的非均一性,并对其进行订正。二者所得结果均表明,迁站是引起气温序列不连续的主要原因,测站周围环境的变化、观测设备的更换以及自动站的业务化运行也会对气温序列的连续性产生一定影响,且两种方法对日平均气温的订正量和订正方向基本一致,订正后的气温气候趋势相似。由于两种方法所使用的检验算法不同,导致检测到的断点数目相差较大(MASH较RHtest多)。将RHtest方法所得结果与国家气象信息中心用同样方法对重庆地区气温序列的均一性检验和订正结果对比,显示二者订正效果基本相同。最后通过对订正前后的气温序列进行气候趋势分析发现,订正后气温变化趋势的均一性较订正前有明显改善。

关键词: 气温序列, 均一性, RHtest, MASH, 气候趋势

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

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