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Assessment of CMIP5 Models Based on the Interdecadal Relationship between the PDO and Winter Temperature in China

机译:基于中国PDO与冬季温度的跨界关系的CMIP5模型评估

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In this study, the impact of the Pacific Decadal Oscillation (PDO) on the China winter temperature (CWT) was assessed on an interdecadal timescale, and the capacities of the 35 models of the fifth Coupled Model Intercomparison Project (CMIP5) were assessed by simulating the PDO-CWT teleconnection. The Met Office Hadley Centre’s sea ice and sea surface temperature (HadISST) were used as the observational data, and Climatic Research Unit (CRU) datasets provided long-term temperature data for the 1901–2005 period. By calculating the spatial correlation coefficient between the PDO index and winter temperature in China, thirteen CMIP5 models close to the HadISST datasets were selected for this study. These models were averaged as the good multi-model ensemble (GOODMME), and the PDO-CWT spatial correlation between the GOODMME and the observations was 0.80. Overall, the correlation coefficient between the PDO index and atmospheric circulation suggests that the GOODMME produces the same excellent results as do the observations. The results also verify the GOODMME’s superiority in simulating the impact of the PDO on winter temperatures in China. The possible mechanisms underlying the impact of the different phases of the PDO on the CWT are also described.
机译:在这项研究中,在跨跨越的时间尺度评估了太平洋二数振荡(PDO)对中国冬季温度(CWT)的影响,并通过模拟评估第五耦合模型互通项目(CMIP5)的35型号的能力PDO-CWT电信连接。 MET Office Hadley Centre的海冰和海面温度(Hadisst)被用作观察数据,气候研究单位(CRU)数据集提供了1901-2005期的长期温度数据。通过计算中国PDO指数和冬季温度之间的空间相关系数,选择靠近HATIS​​ST数据集的三十型CMIP5型号进行本研究。将这些模型平均为良好的多模型集合(Goodme),以及Goodme和观察之间的PDO-CWT空间相关性为0.80。总体而言,PDO指数和大气循环之间的相关系数表明,Goodme产生了与观察结果相同的优异结果。结果还验证了良好的优越性,在模拟PDO对中国冬季气温的影响。还描述了PDO对CWT的不同阶段的影响的可能机制。

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