东亚副热带西风急流及其年际变率的海气耦合模式模拟
The East Asian subtropical westerly jet and its interannual variability simulated by a climate system model FGOALS_gl
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摘要: 分析了中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室(LASG/IAP)快速耦合气候系统模式FGOALS_gl模拟的东亚副热带西风急流,并讨论了ENSO对东亚夏季副热带西风急流位置的影响。FGOALS_gl能较好模拟东亚副热带西风急流的空间分布以及季节演变,但较之再分析资料,模式模拟的急流强度偏弱,中心偏南。这主要是由于模式模拟的对流层中上层平均温度一致偏冷,且急流轴南部的冷偏差总是强于北部,使得模拟的经向温度差偏弱造成的。FGOALS_gl能合理再现东亚夏季副热带急流位置南北移动的年际变化特征,只是模拟的急流年际变率偏强。分析表明,模式模拟的ENSO偏差是造成西风急流年际变率偏强的重要原因。观测和模拟的东亚夏季副热带西风急流位置的南移多发生在ENSO位相达到峰值之后的夏季,但由于模拟的ENSO强度偏强,峰值多出现在春、夏季,并能维持至翌年秋季,因此,ENSO在其衰减年的夏季,对热带对流层温度异常的加热作用依然很强,造成模式中热带地区的对流层温度异常强于观测,从而导致东亚副热带西风急流年际变率模拟偏强。Abstract: The performance of the fast version of IAP/LASG coupled climate system model, named FGOALS_gl, in simulating the East Asian subtropical westerly jet (thereafter EASWJ) is evaluated. The model can reasonably reproduce the climatological characteristics of the EASWJ, including the spatial structure and the seasonal meridional displacement. Compared with the NCEP/NCAR reanalysis data, the major model deficiency is the weaker intensity and the southward shift of the EASWJ. It is found that the deficiency of EASWJ simulation is resulted from the bias in middle-upper troposphere temperature. The cold tropospheric temperature bias south to the EASWJ axis is stronger than that in the north. On the interannual timescale, the meridional displacement of EASWJ is reasonably simulated, although the model overestimates the interannual variability which is partly attributed to the bias in ENSO simulation. The southward displacement of EASWJ is evident in the summer of El Nio decaying year. The NCEP/NCAR reanalysis data and FGAOLS_gl are consistent in this regard. Since the simulated ENSO is stronger and persists into the following autumn, thus has a phase-locking in spring-summer. Correspondingly the ENSO-related tropospheric warming is still significant in El Nio decaying summer, leading to a stronger interannual variability of the EASWJ.
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Key words:
- climate system model /
- East Asian subtropical westerly jet /
- model evaluation /
- ENSO
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