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《大气科学进展(英文版)》 2004-02
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Detecting and Adjusting Temporal Inhomogeneity in Chinese Mean Surface Air Temperature Data

LI Qingxiang, LIU Xiaoning ZHANG Hongzheng Thomas C. PETERSON, and David R. EASTERLING National Meteorological Center, China Meteorological Administration, Beijing 100081 National Climatic Data Center, National Oceanic and Atmospheric Administration, Asheville, NC28801, USA  
Adopting the Easterling-Peterson (EP) techniques and considering the reality of Chinese meteorological observations, this paper designed several tests and tested for inhomogeneities in all Chinese historical surface air temperature series from 1951 to 2001. The result shows that the time series have been widely impacted by inhomogeneities resulting from the relocation of stations and changes in local environment such as urbanization or some other factors. Among these factors, station relocations caused the largest magnitude of abrupt changes in the time series, and other factors also resulted in inhomogeneities to some extent. According to the amplitude of change of the difference series and the monthly distribution features of surface air temperatures, discontinuities identified by applying both the E-P technique and supported by China's station history records, or by comparison with other approaches, have been adjusted. Based on the above processing, the most significant temporal inhomogeneities were eliminated, and China's most homogeneous surface air temperature series has thus been created. Results show that the inhomogeneity testing captured well the most important change of the stations, and the adjusted dataset is more reliable than ever. This suggests that the adjusted temperature dataset has great value of decreasing the uncertaities in the study of observed climate change in China.
【CateGory Index】: P422
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