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Leading interannual variability modes of East Asian winter precipitation in CMIP5 general circulation models

机译:CMIP5综合循环模型中东亚冬季降水的领先年际变化模式

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This study examined the performances of 19 atmospheric general circulation models, which participated in Coupled Model Intercomparison Project 5 (CMIP5), while simulating East Asian winter (JFM) precipitation. The first 3 leading interannual variability modes of East Asian winter precipitation were obtained using the empirical orthogonal function (EOF) method. Results indicated that the observed first EOF mode, which accounted for 59% of the total variance and is ENSO related, represented a positive precipitation center over southern China. Specifically, the warm sea surface temperature (SST) in the equatorial central eastern Pacific induces an anomalous Philippine Sea anticyclone, and the increased southwesterly winds further transport anomalous water vapor to southern China, which causes more precipitation. EOF1 was well reproduced in the multimodel ensemble mean (MME), with a pattern correlation coefficient (PCC) of 0.84 and a temporal correlation coefficient (TCC) of 0.61. The observed EOF2 exhibited a north-south seesaw pattern, which may be forced by both the western Indian Ocean SST and the high-latitude wave train. The MME partially captured its spatial pattern (with a PCC of 0.48); however, it failed to reproduce its temporal variation (with a TCC of 0.17). The observed EOF3 exhibited an east-west dipole pattern, which was an Arctic Oscillation (AO)-related mode. In the negative AO phase, the strengthened East Asian trough at 500 hPa and the anomalous northerlies were observed to suppress precipitation over East Asia. However, almost all the models, including the MME, poorly simulated the temporal variation of EOF3 because the AO was considered to be an internal mode of the atmosphere.
机译:本研究审查了19个大气通用循环模型的性能,该模型参与了耦合模型互通项目5(CMIP5),同时模拟了东亚冬季(JFM)降水。利用经验正交函数(EOF)方法获得了东亚冬季降水的前3种优势变化模式。结果表明,观察到的第一个EOF模式,占总差异的59%,而是enso相关,在中国南方的积极降水中心代表。具体而言,赤道中央东部太平洋的温暖海表面温度(SST)诱导异常菲律宾海抗气旋,越来越多的风进一步将异常水蒸汽传输到中国南方,这导致沉淀更多。 EOF1在多模型集合均值(MME)中再现,其具有0.84的模式相关系数(PCC)和0.61的时间相关系数(TCC)。观察到的eof2展示了南北跷跷板模式,这可能被西印度洋SST和高纬度波动火车迫使。 MME部分捕获其空间图案(PCC为0.48);但是,它未能再现其时间变化(具有0.17的TCC)。观察到的eof3表现出东西偶极图案,其是北极振荡(AO)复合模式。在阴性AO相中,观察到500hPa和异常Northerlies的加强的东亚槽以抑制东亚的降水。然而,几乎所有模型,包括MME,模拟EOF3的时间变化很差,因为AO被认为是大气的内部模式。

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