Impacts of SABER CO2‐based eddy diffusion coefficients in the lower thermosphere on the ionosphere/thermosphere
Impacts of SABER CO2‐based eddy diffusion coefficients in the lower thermosphere on the ionosphere/thermosphere
复制标题
低层热层中基于 SABRE CO2 的涡流扩散系数对电离层/热层的影响
DOI：
10.1002/2016ja023161
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
M. Mlynczak
中科院分区：
文献类型：
--
作者：
C. S. Salinas;L. Chang;M. Liang;J. Yue;J. Russell;M. Mlynczak
这项工作使用宽带发射辐射测量/热层-电离层-中间层能量学和动力学每月全球平均CO2廓线和一维传输模型估计全球平均Kzz。然后将其指定为热层-电离层-电动力学大气环流模型（TIE-GCM）的下边界。结果首先表明，在中层和低热层区域的全球平均CO2具有年度和半年振荡（AO和SAO），在冬至季节沿着在北方夏季的主要最大值。我们计算的全球平均CO2中的AO和SAO然后由全球平均Kzz中的AO和SAO建模。然后表明，我们估计的全球平均Kzz在幅度上低于Qian等人（2009）建议的全球平均Kzz，该建议可以模拟电离层/热层（IT）区域中观测到的AO和SAO。然而，我们估计的全球平均Kzz与最近在具有显式重力波参数化的模型中建议的全球平均Kzz的大小相似。因此，我们的工作得出结论，来自全球平均CO2剖面的全球平均Kzz无法模拟IT区域中观测到的AO和SAO，因为我们估计的全球平均Kzz可能仅代表重力波破碎引起的涡流扩散。因此，我们估计的全球平均Kzz与Qian等人（2009）的全球平均Kzz之间的差异代表了TIE-GCM下边界条件中未直接考虑的其他非重力波源的扩散和混合。这些其他来源很可能是更占主导地位的低层大气强迫背后的AO和SAO在IT区域。
This work estimates global‐mean Kzz using Sounding of the Atmosphere using Broadband Emission Radiometry/Thermosphere‐Ionosphere‐Mesosphere Energetics and Dynamics monthly global‐mean CO2 profiles and a one‐dimensional transport model. It is then specified as a lower boundary into the Thermosphere‐Ionosphere‐Electrodynamics General Circulation Model (TIE‐GCM). Results first show that global‐mean CO2 in the mesosphere and lower thermosphere region has annual and semiannual oscillations (AO and SAO) with maxima during solstice seasons along with a primary maximum in boreal summer. Our calculated AO and SAO in global‐mean CO2 are then modeled by AO and SAO in global‐mean Kzz. It is then shown that our estimated global‐mean Kzz is lower in magnitude than the suggested global‐mean Kzz from Qian et al. (2009) that can model the observed AO and SAO in the ionosphere/thermosphere (IT) region. However, our estimated global‐mean Kzz is similar in magnitude with recent suggestions of global‐mean Kzz in models with explicit gravity wave parameterization. Our work therefore concludes that global‐mean Kzz from global‐mean CO2 profiles cannot model the observed AO and SAO in the IT region because our estimated global‐mean Kzz may only be representing eddy diffusion due to gravity wave breaking. The difference between our estimated global‐mean Kzz and the global‐mean Kzz from Qian et al. (2009) thus represents diffusion and mixing from other nongravity wave sources not directly accounted for in the TIE‐GCM lower boundary conditions. These other sources may well be the more dominant lower atmospheric forcing behind the AO and SAO in the IT region.