Application of multiple analysis of series for homogenization to beijing daily temperature series (1960-2006)
文献类型:期刊论文
作者 | Li Zhen1,2; Yan Zhongwei1 |
刊名 | Advances in atmospheric sciences
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出版日期 | 2010-07-01 |
卷号 | 27期号:4页码:777-787 |
关键词 | Homogenization Mash Daily temperature series Climate change |
ISSN号 | 0256-1530 |
DOI | 10.1007/s00376-009-9052-0 |
通讯作者 | Yan zhongwei(yzw@tea.ac.cn) |
英文摘要 | Homogenization of climate observations remains a challenge to climate change researchers, especially in cases where metadata (e.g., probable dates of break points) are not always available. to examine the influence of metadata on homogenizing climate data, the authors applied the recently developed multiple analysis of series for homogenization (mash) method to the beijing (bj) daily temperature series for 1960-2006 in three cases with different references: (1) 13m-considering metadata at bj and 12 nearby stations; (2) 13nom-considering the same 13 stations without metadata; and (3) 21nom-considering 20 further stations and bj without metadata. the estimated mean annual, seasonal, and monthly inhomogeneities are similar between the 13m and 13nom cases, while those in the 21nom case are slightly different. the detected biases in the bj series corresponding to the documented relocation dates are as low as -0.71a degrees c, -0.79a degrees c, and -0.5a degrees c for the annual mean in the 3 cases, respectively. other biases, including those undocumented in metadata, are minor. the results suggest that any major inhomogeneity could be detected via mash, albeit with minor differences in estimating inhomogeneities based on the different references. the adjusted annual series showed a warming trend of 0.337, 0.316, and 0.365a degrees c (10 yr)(-1) for the three cases, respectively, smaller than the estimate of 0.453a degrees c (10 yr)(-1) in the original series, mainly due to the relocation-induced biases. the impact of the mash-type homogenization on estimates of climate extremes in the daily temperature series is also discussed. |
WOS关键词 | HOMOGENEITY ADJUSTMENTS ; PRECIPITATION SERIES ; CLIMATE DATA ; TRENDS ; INHOMOGENEITY ; EXTREMES ; RECORDS ; DISCONTINUITIES ; EUROPE ; LEVEL |
WOS研究方向 | Meteorology & Atmospheric Sciences |
WOS类目 | Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:000278929300006 |
出版者 | SCIENCE PRESS |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2409019 |
专题 | 中国科学院大学 |
通讯作者 | Yan Zhongwei |
作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Temperate E Asia, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Li Zhen,Yan Zhongwei. Application of multiple analysis of series for homogenization to beijing daily temperature series (1960-2006)[J]. Advances in atmospheric sciences,2010,27(4):777-787. |
APA | Li Zhen,&Yan Zhongwei.(2010).Application of multiple analysis of series for homogenization to beijing daily temperature series (1960-2006).Advances in atmospheric sciences,27(4),777-787. |
MLA | Li Zhen,et al."Application of multiple analysis of series for homogenization to beijing daily temperature series (1960-2006)".Advances in atmospheric sciences 27.4(2010):777-787. |
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来源:中国科学院大学
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