Journal
ADVANCES IN CLIMATE CHANGE RESEARCH
Volume 3, Issue 2, Pages 59-67Publisher
SCIENCE PRESS
DOI: 10.3724/SP.J.1248.2012.00059
Keywords
climate observation; time series; homogeneity; uncertainty
Funding
- National Program on Key Basic Research Project [2010CB951602, 2009CB421401]
- National Science and Technology Ministry [2008BAK50B07]
- China Special Fund for Meteorological Research in the Public Interest [200906041-052]
- Project of National Natural Science Foundation of China [40805060]
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The observation data from ground surface meteorological stations is an important basis on which climate change research is carried out, while the homogenization of the data is necessary for improving the quality and homogeneity of the time series. This paper reviews recent advances in the techniques of identifying and adjusting inhomogeneity in climate series. We briefly introduce 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. We then summarize current progress and problems in this field, and propose ideas for future studies in China. Along with collecting more detailed metadata, more research on homogenization technology should be done in the future. On the basis of comparing and evaluating advantages and disadvantages of different homogenization methods, the homogenized climate data series of the last hundred years should be rebuilt.
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