Instrumental temperature series in eastern and central China back to the nineteenth century. Issue 15 (2nd August 2013)

• Record Type: Journal Article
• Authors: Cao, Lijuan; Zhao, Ping; Yan, Zhongwei; Jones, Phil; Zhu, Yani; Yu, Yu; Tang, Guoli
• Is Part Of: Journal of geophysical research. Volume 118:Issue 15(2013)
• Page Start: 8197
• Page End: 8207
• Publication Date: 2013-08-02
• Subjects: instrumental temperature series -- China -- in recent 100 years; Atmospheric physics -- Periodicals; Geophysics -- Periodicals; 551.5
• DOI: 10.1002/jgrd.50615
• Languages: English
• ISSNs: 2169-897X

Abstract

Abstract: [1] In this study, we bring together different source data sets and use quality control, interpolation, and homogeneity methods to construct a set of homogenized monthly mean surface air temperature (SAT) series for 18 stations in eastern and central China from the late nineteenth century. Missing values are statistically interpolated, and cross validation is used to assess the accuracy of the interpolation approaches. Results show that the errors of interpolation are small, and the interpolated values are statistically acceptable. Multiple homogeneity methods and all available metadata are used to assess the consistency of the time series and then to develop adjustments when necessary. Thirty‐three homogeneity breakpoints are detected in the 18 stations, and the time series is adjusted to the latest segment of the data series. The adjusted annual mean SAT generally shows a range of trends of 1.0° to 4.2°C/100 years in northeastern and southeastern China and a range of trends of −0.3° to 1.0°C/100 years in central China near 30°N. Compared to the adjusted time series, the unadjusted time series underestimates the warming trend during the past 100 years. The regional and annual mean SAT over eastern and central China agrees well with estimates from a much denser station network over this region of China since 1951 and shows a warming trend of 1.52°C/100 years during 1909–2010. Key Points: Construct monthly mean temperature series in China in 100 years Quality control, interpolation, and homogeneity methods are used Constructed series agrees with estimates from a denser station network