GSTDTAP  > 气候变化
DOI10.1007/s00382-019-04804-2
Detecting human influence on the temperature changes in Central Asia
Peng, Dongdong1,2,3; Zhou, Tianjun2,3,4; Zhang, Lixia2; Zou, Liwei2,4
2019-10-01
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2019
卷号53页码:4553-4568
文章类型Article
语种英语
国家Peoples R China
英文摘要

The ecosystem and societal development in arid Central Asia are highly vulnerable to climate change. During the past five decades, significant warming occurs in Central Asia, but whether the influence of anthropogenic forcing is detectable remains unclear. Therefore, we employ the optimal fingerprinting method to address the question in this study. The observed annual mean temperature (degrees C) over Central Asia significantly increases by 1.33 from 1961 to 2005, which mainly concentrates in summer (0.90), autumn (1.22), and winter (2.48). The influence of anthropogenic forcing, particularly the greenhouse gases (GHG) forcing, on both the annual and seasonal significant warming trends are robustly detected. GHG increases the annual, summer, autumn, and winter mean temperature (degrees C) by 1.25 (0.52-2.00), 1.11 (0.32-1.92), 1.11 (0.40-1.83), and 2.50 (0.91-4.34), respectively. Attribution results demonstrate an underestimation (overestimation) of CMIP5 models in simulating the annual and winter (summer and autumn) historical warming trend in Central Asia, implying a potential bias of the future temperature projections reported in IPCC AR5. Thus, we adjust the projections based on the attributed scaling factors, showing that the projected annual, summer, autumn, and winter mean temperature would significantly increase at a rate (degrees C decade(-1)) of 0.32 (0.16-0.49), 0.20 (0.06-0.35), 0.24 (0.10-0.38) and 0.58 (0.24-0.93) under RCP4.5, while 0.74 (0.36-1.12), 0.48 (0.14-0.84), 0.58 (0.25-0.91), and 1.25 (0.53-2.02) under RCP8.5, respectively, demonstrating large annual variation. To the end of twenty-first century, the annual (winter) mean temperature (degrees C) over Central Asia would increase by 7.00 (11.75) under RCP8.5, 0.85 (5.17) higher than the unadjusted results.


英文关键词Detection and attribution Central Asia Optimal fingerprinting method Future projection
领域气候变化
收录类别SCI-E
WOS记录号WOS:000489753900045
WOS关键词CLIMATE-CHANGE ; EXTREME TEMPERATURES ; ARID REGION ; PART I ; PRECIPITATION ; CHINA ; ATTRIBUTION ; SUMMER ; UNCERTAINTY ; CONTEXT
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/187234
专题气候变化
作者单位1.China Meteorol Adm, Inst Trop & Marine Meteorol, Guangzhou, Guangdong, Peoples R China;
2.Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing 100029, Peoples R China;
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
4.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
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Peng, Dongdong,Zhou, Tianjun,Zhang, Lixia,et al. Detecting human influence on the temperature changes in Central Asia[J]. CLIMATE DYNAMICS,2019,53:4553-4568.
APA Peng, Dongdong,Zhou, Tianjun,Zhang, Lixia,&Zou, Liwei.(2019).Detecting human influence on the temperature changes in Central Asia.CLIMATE DYNAMICS,53,4553-4568.
MLA Peng, Dongdong,et al."Detecting human influence on the temperature changes in Central Asia".CLIMATE DYNAMICS 53(2019):4553-4568.
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