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Seasonal variations of MLT tides revealed by a meteor radar chain based on Hough mode decomposition

机译:MLT潮汐透露的季节性变化基于脚腕流星雷达链模式分解

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Seasonal variations of different tides in the mesosphere and lower thermosphere are investigated from wind observations of a meteor radar chain on the basis of Hough mode decomposition. First, the observed winds are decomposed into different (diurnal, semidiurnal, and terdiurnal) tidal components. Different seasonal patterns are revealed for each component. Pronounced semiannual oscillation (SAO) is presented in the diurnal component, while latitude-dependent seasonal variation is found in the semidiurnal and terdiurnal components. At the low/midlatitude stations, the semiannual/annual oscillation is relatively stronger. Then, Hough mode decomposition is utilized to extract the dominant tidal modes of each decomposed component. It is found that each component is dominated by one of its symmetric tidal modes with strong seasonal dependency. Apparent SAO is observed in the dominant (1, 1) mode; (2, 4) mode is strong in the autumn and winter months (after the September equinox). Based on the extracted results we further map the three-dimensional distribution (latitude × altitude × season) of each tidal component. The mapped results are finally compared with the corresponding values observed by the Thermosphere Ionosphere Mesosphere Energetics and Dynamics Doppler Interferometer (TIDI) and modeled from the global scale wave model (GSWM). Each mapped tidal component agrees well with corresponding TIDI observation in the seasonal variation. Meanwhile, coincidences are found in the seasonal dependency of the diurnal component between the mapped values and the modeled results from GSWM, while difference between them exists in that of the semidiurnal one.
机译:不同的潮汐的季节性变化中间层和较低的热大气层调查从风观测流星雷达链的基础上,脚腕模式分解。分解成不同的(周日,半日,和terdiurnal)潮汐组件。季节性模式显示组件。(圣)提出了日组件,虽然latitude-dependent季节性变化半日,terdiurnal中找到组件。半年度/年度振荡相对更强。利用提取的主要潮汐模式每个分解组件。组件是由一个对称的潮汐模式具有较强的季节性的依赖。明显观察到圣占主导地位的(1,1)模式;冬季(秋分后)。基于提取的结果我们进一步映射三维分布(纬度×每个潮汐组件的高度×赛季)。最后与映射的结果相应的值由热电离层观测电离层中间层能量和动力多普勒干涉仪(TIDI)和建模全球范围内波模型(GSWM)。同意与相应的潮汐组件TIDI季节性变化的观察。与此同时,巧合在季节性昼夜的依赖组件之间从GSWM映射值和模拟结果,而区别它们的存在半日。

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