首页> 外文期刊>Journal of Advances in Modeling Earth Systems >Modeling the MJO in a cloud?¢????resolving model with parameterized large?¢????scale dynamics: Vertical structure, radiation, and horizontal advection of dry air
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Modeling the MJO in a cloud?¢????resolving model with parameterized large?¢????scale dynamics: Vertical structure, radiation, and horizontal advection of dry air

机译:在云中对MJO建模-具有参数化大尺度动态的解析模型:干燥空气的垂直结构,辐射和水平对流

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Two Madden?¢????Julian Oscillation (MJO) events, observed during October and November 2011 in the equatorial Indian Ocean during the DYNAMO field campaign, are simulated in a limited?¢????area cloud?¢????resolving model using parameterized large?¢????scale dynamics. Three parameterizations of large?¢????scale dynamics?¢????the conventional weak temperature gradient (WTG) approximation, vertical mode?¢????based spectral WTG (SWTG), and damped gravity wave coupling (DGW)?¢????are employed. A number of changes to the implementation of the large?¢????scale parameterizations, as well as the model itself, are made and lead to improvements in the results. Simulations using all three methods, with imposed time?¢????dependent radiation and horizontal moisture advection, capture the time variations in precipitation associated with the two MJO events well. The three methods produce significant differences in the large?¢????scale vertical motion profile, however. WTG produces the most top?¢????heavy profile, while DGW's is less so, and SWTG produces a profile between the two, and in better agreement with observations. Numerical experiments without horizontal advection of moisture suggest that that process significantly reduces the precipitation and suppresses the top?¢????heaviness of large?¢????scale vertical motion during the MJO active phases. Experiments in which a temporally constant radiative heating profile is used indicate that radiative feedbacks significantly amplify the MJO. Experiments in which interactive radiation is used produce agreement with observations that is much better than that achieved in previous work, though not as good as that with imposed time?¢????varying radiative heating. Our results highlight the importance of both horizontal advection of moisture and radiative feedbacks to the dynamics of the MJO.
机译:在有限的区域云中模拟了2011年10月和2011年11月在赤道印度洋观测到的两次Madden Julian Oscillation(MJO)事件。使用参数化大尺度尺度动力学解析模型。大型动态动力学的三个参数化:常规的弱温度梯度(WTG)逼近,垂直模式的光谱WTG(SWTG)和阻尼重力波耦合(DGW) )被雇用。对大型参数化的实现以及模型本身进行了许多更改,并导致了结果的改进。使用这三种方法进行的模拟(具有依赖于时间的辐射和水平湿度平流)可以很好地捕获与两个MJO事件相关的降水的时间变化。但是,这三种方法在大的垂直运动轮廓上产生了很大的差异。 WTG产生的轮廓最强,而DGW则不然,SWTG产生的两者之间的轮廓最大,并且与观测值更好地吻合。没有水分水平对流的数值实验表明,该过程显着减少了降水,并抑制了MJO活跃期大尺度垂直运动的顶重。使用时间上恒定的辐射加热曲线的实验表明,辐射反馈显着放大了MJO。使用交互式辐射的实验产生的观察结果与以前的工作相比要好得多,尽管不如随时间变化而变。我们的结果突出了水分水平对流和辐射反馈对MJO动力学的重要性。

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