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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >The life cycle of a sudden stratospheric warming from infrasonic ambient noise observations
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The life cycle of a sudden stratospheric warming from infrasonic ambient noise observations

机译:通过次声环境噪声观测发现平流层突然变暖的生命周期

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摘要

A method is presented to study the life cycle of a SSW using infrasonic ambient noise observations. The potential of infrasound is shown to provide the missing observations required by numerical weather prediction to better resolve the upper atmosphere. The 2009 major SSW is reanalyzed using the Evers and Siegmund (2009) data set. Microbarom observations are evaluated to identify detections that cannot be explained by the analysis of the European Centre for Medium-Range Weather Forecasts. Identified differences can be related to either the altitude limit of the analysis, not resolving thermospheric ducts, or to an actual error in the analysis. Therefore, a first-order model is used to relate observations with the analysis, existing of the Waxler et al. (2007) microbarom source model, including bathymetry to allow column resonances, and an atmospheric propagation model using 3-D ray tracing. Daily normalized spectral powers are proposed to distinguish stratospheric from thermospheric return height, based on the different signature of solar tidal amplitude fluctuations. It is shown that a SSW is not a smooth event as following from the analysis but a series of abrupt changes with a period of 10 to 16 days, increasing in intensity and duration. This is in agreement with the wave period of Rossby waves, interacting with the stratospheric circumpolar vortex. The type of vortex disturbance, split or reversal, can be deduced from the combined effect of the change in back-azimuth direction, solar tidal signature type, and/or phase variation of the amplitude variation of the observed microbaroms.
机译:提出了一种使用次声环境噪声观测研究SSW生命周期的方法。次声的潜力已显示出可提供数值天气预报所需的缺失观测值,以更好地解析高层大气。使用Evers和Siegmund(2009)数据集重新分析了2009年的主要SSW。对微气压观测进行评估,以识别无法通过欧洲中距离天气预报中心进行分析的检测结果。识别出的差异可能与分析的高度限制(不解析热层导管)或分析中的实际错误有关。因此,Waxler等人现有的一阶模型用于将观测值与分析联系起来。 (2007年)的微气压源模型,包括允许列共振的测深法,以及使用3-D射线追踪的大气传播模型。提出了每日归一化频谱功率,以根据太阳潮汐振幅波动的不同特征来区分平流层和热层返回高度。从分析中可以看出,SSW不是平滑事件,而是一系列突然的变化,持续10到16天,强度和持续时间增加。这与罗斯平波的波周期一致,并与平流层的绕极涡旋相互作用。涡流干扰的类型(分裂或逆转)可以从后方位角方向变化,太阳潮汐特征类型和/或所观察到的微气隙的振幅变化的相位变化的综合影响中得出。

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