CMIP6模式对太平洋年代际振荡的模拟:来自气候网络分析的新试验台

IF 2.2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Yiling Ma, Naiming Yuan, Tianyun Dong, Wenjie Dong
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引用次数: 3

摘要

太平洋年代际涛动(PDO)作为北太平洋海温年代际变化的主导模式,对海洋和陆地生态系统具有显著的影响。然而,PDO是高度不可预测的。在此,我们评估了耦合模式比对项目第6阶段(CMIP6)模式在模拟PDO方面的表现,重点评估了CMIP6模式在基于气候网络分析重现最近检测到的PDO状态转变早期预警信号方面的表现。结果表明,CMIP6历史模拟的技能仍然处于较低水平,对PDO空间格局的再现能力有限,对PDO指数的再现能力几乎为零。然而,如果将气候网络分析的PDO变化的预警信号作为一个试验台,我们发现即使在历史模拟中,也有少数模型可以代表预警信号与PDO变化的对应关系,而不考虑时间顺序的准确性。通过进一步初始化,通过对年代际气候预测项目(NorCPM1和BCC-CSM2-MR)两个集合成员的后验进行评估,提高了模式模拟的性能。特别是NorCPM1模式能够提前5 ~ 7年捕捉到20世纪70年代末和90年代末气候变化的预警信号,说明某些CMIP6模式在一定程度上能够捕捉到预警信号。进一步调查预警信号的潜在机制对于改进北太平洋的模式模拟是至关重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

On the Pacific Decadal Oscillation Simulations in CMIP6 Models: A New Test-Bed from Climate Network Analysis

On the Pacific Decadal Oscillation Simulations in CMIP6 Models: A New Test-Bed from Climate Network Analysis

As a dominant pattern of the North Pacific sea surface temperature decadal variability, the Pacific Decadal Oscillation (PDO) has remarkable influences on the marine and terrestrial ecosystems. However, the PDO is highly unpredictable. Here, we assess the performance of the Coupled Model Intercomparison Project Phase 6 (CMIP6) models in simulating the PDO, with an emphasis on the evaluation of CMIP6 models in reproducing a recently detected early warning signal based on climate network analysis for the PDO regime shift. Results show that the skill of CMIP6 historical simulations remains at a low level, with a skill limited in reproducing PDO’s spatial pattern and nearly no skill in reproducing the PDO index. However, if the warning signal for the PDO regime shift by climate network analysis is considered as a test-bed, we find that even in historical simulations, a few models can represent the corresponding relationship between the warning signal and the PDO regime shift, regardless of the chronological accuracy. By further conducting initialization, the performance of the model simulations is improved according to the evaluation of the hindcasts from two ensemble members of the Decadal Climate Prediction Project (NorCPM1 and BCC-CSM2-MR). Particularly, we find that the NorCPM1 model can capture the early warning signals for the late-1970s and late-1990s regime shifts 5–7 years in advance, indicating that the early warning signal somewhat can be captured by some CMIP6 models. A further investigation on the underlying mechanisms of the early warning signal would be crucial for the improvement of model simulations in the North Pacific.

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来源期刊
Asia-Pacific Journal of Atmospheric Sciences
Asia-Pacific Journal of Atmospheric Sciences 地学-气象与大气科学
CiteScore
5.50
自引率
4.30%
发文量
34
审稿时长
>12 weeks
期刊介绍: The Asia-Pacific Journal of Atmospheric Sciences (APJAS) is an international journal of the Korean Meteorological Society (KMS), published fully in English. It has started from 2008 by succeeding the KMS'' former journal, the Journal of the Korean Meteorological Society (JKMS), which published a total of 47 volumes as of 2011, in its time-honored tradition since 1965. Since 2008, the APJAS is included in the journal list of Thomson Reuters’ SCIE (Science Citation Index Expanded) and also in SCOPUS, the Elsevier Bibliographic Database, indicating the increased awareness and quality of the journal.
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