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The Madden-Julian Oscillation and Its Impact on Northern Hemisphere Weather Predictability

机译:Madden-Julian涛动及其对北半球天气可预报性的影响

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The Madden-Julian oscillation (MJO) is known as the dominant mode of tropical intraseasonal variability and has an important role in the coupled-atmosphere system. This study uses numerical model experiments to investigate the influence of the MJO activity on weather predictability in the midlatitudes of the Northern Hemisphere. The National Aeronautics and Space Administration (NASA) Goddard Laboratory for the Atmospheres (GLA) general circulation model was used in a 10-yr simulation with fixed climatological SSTs to generate a control dataset as well as to select initial conditions for active MJO periods and "Null" cases. Two perturbation numerical experiments were performed for the 75 cases selected [(4 MJO phases + Null phase) X 15 initial conditions in each]. For each alternative initial condition, the model was integrated for 90 days. Mean anomaly correlations and standardized root-mean-square errors in the midlatitudes of the Northern Hemisphere (20°-60°N) were computed to assess predictability characteristics. The analyses of 500-hPa geopotential height, 200-hPa streamfunction, and 850-hPa zonal wind component systematically show larger predictability (~2-3 days) during periods of active MJO as opposed to quiescent episodes of the oscillation. While further studies are necessary to investigate possible model sensitivity, the results shown here highlight the importance of the MJO in modulating weather variability and show the importance of improving the representation of the MJO in operational numerical weather forecast models.
机译:Madden-Julian振荡(MJO)是热带季节内变异的主要模式,在大气耦合系统中具有重要作用。这项研究使用数值模型实验来研究北半球中纬度地区MJO活动对天气可预测性的影响。在具有固定气候SST的10年模拟中,使用了美国国家航空航天局(NASA)戈达德大气实验室(GLA)的一般循环模型来生成控制数据集,并为活跃的MJO时期选择初始条件,空”的情况。对选择的75个案例进行了两个扰动数值实验[(4个MJO相+ Null相)X 15个初始条件]。对于每种替代的初始条件,模型都将集成90天。计算了北半球中纬度(20°-60°N)的平均异常相关性和标准化的均方根误差,以评估可预测性特征。对500-hPa的地势高度,200-hPa的流函数和850-hPa的纬向风分量的分析表明,在活跃的MJO期间,相对于振荡的静止期,可预测性更大(〜2-3天)。虽然有必要进行进一步的研究以调查可能的模型敏感性,但此处显示的结果突出了MJO在调节天气变化性中的重要性,并显示了在运行的数值天气预报模型中改善MJO表示的重要性。

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