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Identifying a key physical factor sensitive to the performance of Madden-Julian oscillation simulation in climate models

机译:确定对气候模型中Madden-Julian振荡模拟的性能敏感的关键物理因素

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A key physical factor in regulating the performance of Madden-Julian oscillation (MJO) simulation is examined by using 26 climate model simulations from the World Meteorological Organization's Working Group for Numerical Experimentation/Global Energy and Water Cycle Experiment Atmospheric System Study (WGNE and MJO-Task Force/GASS) global model comparison project. For this, intraseasonal moisture budget equation is analyzed and a simple, efficient physical quantity is developed. The result shows that MJO skill is most sensitive to vertically integrated intraseasonal zonal wind convergence (ZC). In particular, a specific threshold value of the strength of the ZC can be used as distinguishing between good and poor models. An additional finding is that good models exhibit the correct simultaneous convection and large-scale circulation phase relationship. In poor models, however, the peak circulation response appears 3 days after peak rainfall, suggesting unfavorable coupling between convection and circulation. For an improving simulation of the MJO in climate models, we propose that this delay of circulation in response to convection needs to be corrected in the cumulus parameterization scheme.
机译:通过使用世界气象组织数值实验/全球能源和水循环实验大气系统研究工作组(WGNE和MJO-)的26种气候模型模拟,研究了调节Madden-Julian振荡(MJO)性能的关键物理因素。 Task Force / GASS)全球模型比较项目。为此,分析了季节内的水分收支方程,并开发了简单有效的物理量。结果表明,MJO技能对垂直整合的季节内纬向风汇聚(ZC)最为敏感。特别地,ZC强度的特定阈值可以用作区分好模型和差模型的方法。另一个发现是,好的模型表现出正确的同时对流和大规模的循环相位关系。然而,在较差的模型中,峰值降雨后三天出现了峰值循环响应,这表明对流与循环之间存在不利的耦合。为了在气候模型中改进MJO的模拟,我们建议需要在累积参数化方案中纠正这种对流引起的循环延迟。

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