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Accuracy issues of the existing thermospheric wind models: can we rely on them in seeking solutions to wind-driven problems?

机译:现有热层风模型的精度问题:我们能否依靠它们来寻找风驱动问题的解决方案?

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摘要

We address the question of the ability of empirical and general circulation model neutral wind profiles in the lower thermosphere to reproduce the observed characteristics of the winds in that part of the atmosphere. The winds in that altitude range are critical for electrodynamic processes, but evaluations of the model winds are generally difficult because of the sparse observational data, which makes an evaluation of the wind predictions over large areas difficult or impossible. In this paper, we use a recently identified characteristic of the winds in the lower thermosphere, namely the enhanced winds and strong shears between 95 and 115 km altitude, as a test of the models, at least in a statistical sense. Our results show that the Horizontal Wind Model (HWM) significantly underestimates the maximum winds and shears in the lower thermosphere, although it has reasonable agreement with the average winds. The NCAR general circulation model used in this study also underestimates the maximum winds and shears significantly when run with standard resolution, as well as producing an unrealistic increase of the wind speed with height. The agreement between the model and the observations improves significantly however, in a statistical sense, when the altitude resolution is increased. The improved height resolution in the model appears to produce a greater improvement in the model predictions than any of the other factors that we examined, such as improving the geomagnetic forcing or the forcing at the lower boundary.
机译:我们解决了下层热层中经验和一般循环模型中性风廓线再现在该部分大气中观测到的风的特征的能力的问题。在该高度范围内的风对于电动过程至关重要,但是由于稀疏的观测数据,通常很难对模型风进行评估,这很难或不可能进行大面积风预测的评估。在本文中,至少在统计意义上,我们使用了最近确定的较低热层风的特征,即在95至115 km高度之间的增强风和强剪切力,作为对模型的检验。我们的结果表明,尽管水平风模型(HWM)与平均风有合理的一致性,但它大大低估了较低热圈中的最大风和切变。在这项研究中使用的NCAR普通环流模型还低估了以标准分辨率运行时的最大风向和切变,以及风速随高度的增加而出现了不切实际的增加。但是,从统计意义上讲,当海拔分辨率提高时,模型与观测值之间的一致性将显着提高。模型中改进的高度分辨率似乎比我们研究的任何其他因素(例如改善地磁强迫或下边界的强迫)对模型的预测产生了更大的改进。

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