GSTDTAP
DOI10.1175/JCLI-D-19-0055.1
Predicting the Atlantic Multidecadal Variability from Initialized Simulations
Si, Dong1,2; Hu, Aixue3; Wang, Huijun1,2; Chao, Qingchen4
2019-12-01
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
EISSN1520-0442
出版年2019
卷号32期号:24页码:8701-8711
文章类型Article
语种英语
国家Peoples R China; USA
英文摘要

In contrast to dominant interannual time-scale variability in other ocean basins, the leading observed mode variability in the Atlantic is characterized as a basinwide seesaw-like sea surface temperature variability between the North and South Atlantic on a multidecadal time scale (approximately 60-80 years), known as the Atlantic multidecadal variability (AMV). AMV has been identified as a key driver for climate shifts that occurred in the mid-1960s and late 1990s. Here we attempt to predict the summer AMV by analyzing decadal prediction experiments from two climate models. Results show that these climate models with proper initialization do a better job than uninitialized historical runs, and are capable of predicting the observed AMV time evolution. Our models predict that the AMV will be in a neutral to slightly negative phase, leading to a warm-dry trend over western Europe and North Africa and a cold-wet trend (cold relative to the warming trend) over southeastern China and Indochina in the next few years.


英文关键词North Atlantic Ocean Climate prediction Model initialization Climate variability Multidecadal variability
领域气候变化
收录类别SCI-E
WOS记录号WOS:000500225100001
WOS关键词MERIDIONAL OVERTURNING CIRCULATION ; NORTHERN NORTH-ATLANTIC ; SEA-SURFACE TEMPERATURE ; DECADAL PREDICTION ; THERMOHALINE CIRCULATION ; SYSTEM MODEL ; CLIMATE ; AEROSOLS ; OSCILLATION ; RAINFALL
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/225663
专题环境与发展全球科技态势
作者单位1.Chinese Acad Sci, Inst Atmospher Phys, Climate Change Res Ctr, Beijing, Peoples R China;
2.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Jiangsu, Peoples R China;
3.Natl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA;
4.China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China
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GB/T 7714
Si, Dong,Hu, Aixue,Wang, Huijun,et al. Predicting the Atlantic Multidecadal Variability from Initialized Simulations[J]. JOURNAL OF CLIMATE,2019,32(24):8701-8711.
APA Si, Dong,Hu, Aixue,Wang, Huijun,&Chao, Qingchen.(2019).Predicting the Atlantic Multidecadal Variability from Initialized Simulations.JOURNAL OF CLIMATE,32(24),8701-8711.
MLA Si, Dong,et al."Predicting the Atlantic Multidecadal Variability from Initialized Simulations".JOURNAL OF CLIMATE 32.24(2019):8701-8711.
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