GSTDTAP  > 气候变化
DOI10.1002/joc.5264
Multi-decadal evolution characteristics of global surface temperature anomaly data shown by observation and CMIP5 models
Zhu, Xian1,3,4; Dong, Wenjie2,3; Wei, Zhigang1,3; Guo, Yan1,3; Gao, Xiaoqing4; Wen, Xiaohang1,3,5; Yang, Shili1,3; Zheng, Zhiyuan2; Yan, Dongdong1,3; Zhu, Yuyao1,3; Chen, Juan3
2018-03-15
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2018
卷号38期号:3页码:1533-1542
文章类型Article
语种英语
国家Peoples R China
英文摘要

Based on methods of statistical analysis, the time series of global surface air temperature (SAT) anomalies from 1860 to 2014 has been defined by three types of phase changes that occur through the division of temperature changes into different stages. The characteristics of the three types of phase changes simulated by Coupled Model Inter-Comparison Project (CMIP5) models were evaluated. The conclusion is as follows: the SAT from 1860 to 2014 can be divided into six stages according to trend differences, and this subdivision is proved to be statistically significant. Based on trend analysis and the distribution of slopes between any two points (two points' slope) in every stage, the six stages can be summarized as three phase changes of warming, cooling, and hiatus. Between 1860 and 2014, the world experienced three heating phases (1860-1878, 1909-1942, and 1975-2004), one cooling phase (1878-1909), and two hiatus phases (1942-1975 and 2004-2014). Using the definition method, whether the next year belongs to the previous phase can be estimated. Furthermore, the temperature in 2015 was used as an example to validate the feasibility of this method. The simulations of the heating period by CMIP5 models are well; however, the characteristics shown by SAT during the cooling and hiatus period cannot be represented by CMIP5 models. As such, the projections of future heating phases using the CMIP5 models are credible, but for cooling and hiatus events they are unreliable.


英文关键词hiatus piecewise linear regression multi-decadal evolution CMIP5 models
领域气候变化
收录类别SCI-E
WOS记录号WOS:000426729300031
WOS关键词OCEAN HEAT UPTAKE ; WARMING SLOWDOWN ; VARIABILITY ; ATLANTIC ; PACIFIC ; NORTH ; OSCILLATIONS ; CIRCULATION ; REGRESSION ; IMPACTS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/36855
专题气候变化
作者单位1.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China;
2.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China;
3.Beijing Normal Univ, Future Earth Res Inst, Zhuhai Joint Innovat Ctr Climate Environm Ecosyst, Zhuhai, Peoples R China;
4.Chinese Acad Sci, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou, Gansu, Peoples R China;
5.Chengdu Univ Informat Technol, Sch Atmospher Sci, Plateau Atmosphere & Environm Key Lab Sichuan Pro, Chengdu, Sichuan, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Xian,Dong, Wenjie,Wei, Zhigang,et al. Multi-decadal evolution characteristics of global surface temperature anomaly data shown by observation and CMIP5 models[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38(3):1533-1542.
APA Zhu, Xian.,Dong, Wenjie.,Wei, Zhigang.,Guo, Yan.,Gao, Xiaoqing.,...&Chen, Juan.(2018).Multi-decadal evolution characteristics of global surface temperature anomaly data shown by observation and CMIP5 models.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(3),1533-1542.
MLA Zhu, Xian,et al."Multi-decadal evolution characteristics of global surface temperature anomaly data shown by observation and CMIP5 models".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.3(2018):1533-1542.
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