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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Predictability of summer northwest Pacific climate in 11 coupled model hindcasts: Local and remote forcing
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Predictability of summer northwest Pacific climate in 11 coupled model hindcasts: Local and remote forcing

机译:11种耦合模式后预报中的夏季西北太平洋气候可预测性:局部和远程强迫

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摘要

The skills of 11 coupled ocean-atmosphere general circulation models (CGCMs) are investigated in the prediction of seasonal rainfall and circulation anomalies over the northwest (NW) Pacific for the period 1980-2001, with a focus on the summer following the mature phase of El Nino (hereafter JJA(1)). It is shown that the first empirical orthogonal function (EOF) mode of sea level pressure is closely tied to the second EOF mode of rainfall variability over the NW Pacific during JJA(1), indicative of strong feedback between circulation and convection. Most coupled models and the associated multimodel ensemble well predict these EOF modes and their relationship with high fidelity. Coupled models are capable of predicting suppressed rainfall over the NW Pacific in JJA(1). A few models fail to predict the concurrent weak negative sea surface temperature (SST) anomalies on the southeastern flank of the anomalous anticyclone. This suggests that remote forcing via teleconnections is important for NW Pacific rainfall prediction in those models. In some models, local air-sea interactions seem also to play a role. Specifically, remote forcing by tropical Indian Ocean (TIO) SST variability is identified as influential on NW Pacific climate during JJA(1). TIO SST affects the atmosphere over the NW Pacific by two mechanisms, via the equatorial Kelvin wave and the intensification of the subtropical westerly jet. Overall, models are successful in predicting the antisymmetric patterns of precipitation and winds over TIO during spring, which are critical in sustaining the TIO warming through the subsequent summer.
机译:在预测1980-2001年西北太平洋西北地区的季节性降雨和环流异常的过程中,研究了11种耦合的海洋-大气一般环流模型(CGCM)的技能,重点是在成熟期之后的夏季。 El Nino(以下称为JJA(1))。结果表明,在JJA(1)期间,西北太平洋海平面气压的第一个经验正交函数(EOF)模式与第二个EOF模式的降雨变化密切相关,表明环流和对流之间有很强的反馈。大多数耦合模型和关联的多模型集合可以很好地预测这些EOF模式及其与高保真度的关系。耦合模型能够预测JJA(1)西北太平洋的降雨。一些模型无法预测反反气旋异常东南腹侧并发的弱负海面温度(SST)异常。这表明在这些模型中,通过遥距连接进行的远程强迫对于西北太平洋的降雨预报很重要。在某些模型中,局部海-气相互作用似乎也起作用。具体而言,在JJA(1)期间,热带印度洋(TIO)SST变率的远程强迫被确定为对西北太平洋气候的影响。 TIO SST通过赤道开尔文波和副热带西风急流的两种机制影响西北太平洋的大气。总体而言,模型成功地预测了春季TIO上降水和风的反对称模式,这对于在随后的夏季维持TIO变暖至关重要。

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