GSTDTAP  > 气候变化
DOI10.1175/JCLI-D-16-0509.1
Assessing the Impact of Model Biases on the Projected Increase in Frequency of Extreme Positive Indian Ocean Dipole Events
Wang, Guojian1,2; Cai, Wenju1,2; Santoso, Agus3,4
2017-04-01
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
EISSN1520-0442
出版年2017
卷号30期号:8
文章类型Article
语种英语
国家Australia; Peoples R China
英文摘要

For many generations, models simulate an Indian Ocean dipole (IOD) that is overly large in amplitude. The possible impact of this systematic bias on climate projections, including a projected frequency increase in extreme positive IOD (pIOD) using a rainfall-based definition, has attracted attention. In particular, a recent study suggests that the increased frequency is an artifact of the overly large IOD amplitude. In contrast, here the opposite is found. Through intermodel ensemble regressions, the present study shows that models producing a high frequency in the present-day climate generate a small future frequency increase. The frequency is associated with the mean equatorial west-minus-east sea surface temperature (SST) gradient: the greater the gradient, the greater the frequency because it is easier to shift convection to the west, which characterizes an extreme pIOD. A greater present-day gradient is associated with a present-day shallower thermocline, lower SSTs, and lower rainfall in the eastern equatorial Indian Ocean (EEIO). Because there is an inherent limit for a maximum rainfall reduction and for the impact on surface cooling by a shallowing of an already shallow mean EEIO thermocline, there is a smaller increase in frequency in models with a shallower present-day EEIO thermocline. Given that a bias of overly shallow EEIO thermocline and overly low EEIO SSTs and rainfall is common in models, the future frequency increase should be underestimated, opposite to an implied overestimation resulting from the overly large IOD amplitude bias. Therefore, correcting the projected frequency from a single bias, without considering other biases that are present, is not appropriate and should be avoided.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000399679900003
WOS关键词EQUATORIAL PACIFIC ; CLIMATE-CHANGE ; EMERGENT CONSTRAINTS ; WARMING HIATUS ; SHORT RAINS ; CMIP5 ; VARIABILITY ; CIRCULATION ; FEEDBACKS ; DYNAMICS
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/20746
专题气候变化
作者单位1.CSIRO Oceans & Atmosphere Flagship, Aspendale, Vic, Australia;
2.Ocean Univ China, Qingdao Collaborat Innovat Ctr Marine Sci & Techn, Phys Oceanog Lab, Qingdao, Peoples R China;
3.Univ New South Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia;
4.Univ New South Wales, Climate Change Res Ctr, Sydney, NSW, Australia
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GB/T 7714
Wang, Guojian,Cai, Wenju,Santoso, Agus. Assessing the Impact of Model Biases on the Projected Increase in Frequency of Extreme Positive Indian Ocean Dipole Events[J]. JOURNAL OF CLIMATE,2017,30(8).
APA Wang, Guojian,Cai, Wenju,&Santoso, Agus.(2017).Assessing the Impact of Model Biases on the Projected Increase in Frequency of Extreme Positive Indian Ocean Dipole Events.JOURNAL OF CLIMATE,30(8).
MLA Wang, Guojian,et al."Assessing the Impact of Model Biases on the Projected Increase in Frequency of Extreme Positive Indian Ocean Dipole Events".JOURNAL OF CLIMATE 30.8(2017).
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