Climate Change Research ›› 2017, Vol. 13 ›› Issue (1): 41-51.

### The Interpolation and Homogenization of Long-Term Temperature Time Series at Baoding Observation Station in Hebei Province

Si Peng, Hao Lisheng, Luo Chuanjun, Cao Xiaocen, Liang Dongpo

1. Tianjin Meteorological Bureau, Tianjin 300074, China
• Received:2016-03-04 Revised:2016-04-30 Online:2017-01-30 Published:2017-01-30
• Contact: Lisheng Hao E-mail:hls54515@163.com

Abstract:

Using multi-source of monthly temperature and precipitation data on the basis of preliminary integration and quality control, monthly mean temperature, maximum temperature, minimum temperature, and precipitation time series covering 1913-2014 at observation Baoding are interpolated by both two approaches of standardized method and multivariate linear regression. The interpolation results analyzed by cross validation are that the standardized method is more right for temperature data, but for precipitation is the method of multivariate linear regression. Then, the better interpolated time series are homogenized by the penalized maximal F test (PMF), and results indicate that those monthly hundred-term temperature and precipitation data are relatively continuous, only two breakpoints have been detected in the mean minimum temperature series, respectively, by the same type of instrument replacement and station relocation, and also have been adjusted by Quantile-Matching (QM), in the interest of construction of the monthly hundred-term temperature and precipitation time series at observation Baoding. Moreover, we compare the data here with the homogenized monthly temperature and precipitation data during 1913-2014 at observations Beijing and Tianjin from some aspects of trend change and correlation analysis, which show that the data we constructed in this paper are relatively logical and errorless, thus can fill the blank of lack of a complete homogeneous hundred-term climate series for quantitative analysis of climate change in North China Plain.