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The seasonal variation of the propagating diurnal tide in the mesosphere and lower thermosphere. Part II: The role of tidal heating and zonal mean winds

机译:中层和低层热层中日增潮的季节性变化。第二部分:潮汐加热和纬向平均风的作用

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A linear mechanistic tidal model is used to understand the mechanisms responsible for the seasonal variation of the propagating diurnal tide in the mesosphere and lower thermosphere simulated in the Canadian Middle Atmosphere Model (CMAM). The linear model uses a spectral approach to represent the horizontal structure of the tidal perturbations and employs dissipative processes that do not depend on season. By constraining the model with the zonal mean zonal winds, zonal mean temperatures, and tidal heating from the CMAM, the relative role of each of these terms is assessed. The linear model is able to reproduce all of the important tidal features found in the CMAM, in particular the semiannual amplitude variation in the lower thermosphere at low latitudes that is seen in observations. From this analysis the effects of both heating and mean winds are found to be responsible for the seasonal variation of the tidal amplitude, while variations in the tidal phase are attributed solely to changes in the mean winds. The strong sensitivity of the tide to the mean winds is the novel result of this study. This sensitivity is attributed to latitudinal shears in the zonal mean easterlies in the summer mesosphere. Although these shears occur on an annual basis, their impact on tidal amplitudes in the lower thermosphere is semiannual as a result of the 6-month shift in seasons between the two hemispheres. Simulations using observational datasets from the Committee on Space Research (COSPAR) International Reference Atmosphere (CIRA) and the High Resolution Doppler Imager (HRDI) reveal significant differences in the resulting tidal structure from that obtained using the CMAM winds, and point to possible deficiencies in these datasets. [References: 27]
机译:线性机械潮汐模型用于了解在加拿大中层大气模型(CMAM)中模拟的中层和较低热层中传播的昼夜潮的季节性变化的机理。线性模型使用频谱方法表示潮汐扰动的水平结构,并采用不依赖季节的耗散过程。通过用CMAM的纬向平均纬向风,纬向平均温度和潮汐热来约束模型,可以评估每个术语的相对作用。线性模型能够再现在CMAM中发现的所有重要潮汐特征,特别是观测到的低纬度低热圈下半年的振幅变化。通过此分析,发现加热和平均风的影响都与潮汐振幅的季节性变化有关,而潮汐期的变化仅归因于平均风的变化。潮汐对平均风的强烈敏感性是这项研究的新颖结果。这种敏感性归因于夏季中层带纬向平均纬度的纬向剪切。尽管这些剪切是每年发生一次,但由于两个半球之间的季节变化了六个月,它们对下部热圈中的潮汐振幅的影响为半年。使用来自空间研究委员会(COSPAR)国际参考大气(CIRA)和高分辨率多普勒成像仪(HRDI)的观测数据集进行的模拟显示,所得潮汐结构与使用CMAM风获得的潮汐结构存在显着差异,并指出了可能存在的缺陷。这些数据集。 [参考:27]

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