Simulation of the equatorially asymmetric mode of the Hadley circulation in CMIP5 models

Simulation of the equatorially asymmetric mode of the Hadley circulation in CMIP5 models
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CMIP5模式中哈德来环流赤道不对称模式的模拟

DOI:
10.1007/s00376-015-4157-0
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发表时间:
2015-06
影响因子:
5.8
通讯作者:
Cheng Sun
Cheng Sun
中科院分区:
地球科学2区
文献类型:
--
作者:
Jianping Li;Jianlei Zhu;Fei Li;Cheng Sun

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热带Hadley环流(HC)对热带和热带外的气候有重要影响。年平均HC主模态长期变化的气候学特征、空间结构和时间演变的现实性(即,赤道非对称模态(EAM)在耦合模式相互比较项目第5阶段(CMIP 5)的模式模拟中进行了检验。结果表明,所有的模式都是中等成功地捕捉HC的气候特征,包括空间格局,纬向范围和强度,但不是空间或时间变化的EAM。探索了EAM长期变异性模拟不佳的可能原因。没有一个模式能够成功地捕捉到热带南半球(SH)和北方半球(NH)之间的变暖速率的差异,这被认为是一个重要的驱动器的变化的AM。大多数模式产生的北半球变暖速度比南半球快,这与观测到的趋势相反。这导致SH和NH之间的纬向梯度的反向趋势,并导致EAM变率的模拟较差。因此,这方面的模型应加以改进,以提供更好的模拟的变异性HC。这项研究提出了HC模拟不佳的可能原因,这可能有助于提高未来CMIP5模型的技能。
The tropical Hadley circulation (HC) plays an important role in influencing the climate in the tropics and extra-tropics. The realism of the climatological characteristics, spatial structure, and temporal evolution of the long-term variation of the principal mode of the annual mean HC (i.e., the equatorially asymmetric mode, EAM) was examined in model simulations from the Coupled Model Intercomparison Project Phase 5 (CMIP5). The results showed that all the models are moderately successful in capturing the HC’s climatological features, including the spatial pattern, meridional extent, and intensity, but not the spatial or temporal variation of the EAM. The possible reasons for the poor simulation of the long-term variability of the EAM were explored. None of the models can successfully capture the differences in the warming rate between the tropical Southern Hemisphere (SH) and Northern Hemisphere (NH), which is considered to be an important driver for the variation of the AM. Most of the models produce a faster warming in the NH than in the SH, which is the reverse of the observed trend. This leads to a reversed trend in the meridional gradient between the SH and NH, and contributes to the poor simulation of EAM variability. Thus, this aspect of the models should be improved to provide better simulations of the variability of the HC. This study suggests a possible reason for the poor simulation of the HC, which may be helpful for improving the skill of the CMIP5 models in the future.
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