关键词: 气候观测, 时间序列, 均一性, 不确定性, climate observation, time series, homogeneity, uncertainty

Abstract: The observation data from ground surface meteorological stations is an important foundation on which climate change research is carried out, while the homogenization of the data has the most significance and value for improving the quality and homogeneity of the data series. This paper reviews recent advances in the techniques of identifying and adjusting inhomogeneity in climate series. After briefly introducing the results of applying two commonly accepted and well-developed methods RHtest and MASH to surface climate observations such as temperature and wind speed in China, the authors summarize current progresses and problems in this field, and propose ideas for foreseeable future studies in China. Along with collecting more detail metadata, more research work should be done in future on homogenization technology. On the basis of comparing and evaluating advantages and disadvantages of different homogenizing methods, the homogenized climate data series of the last hundred years should be rebuilt.