Peak height of OH airglow derived from simultaneous observations a Fabry‐Perot interferometer and a meteor radar
Peak height of OH airglow derived from simultaneous observations a Fabry‐Perot interferometer and a meteor radar
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DOI：
10.1002/2016ja023743
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发表时间：
2017-04
期刊：
影响因子：
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通讯作者：
T. Yu;X. Zuo;C. Xia;Mingyuan Li;Cong Huang;T. Mao;Xiaoxin Zhang;B. Zhao;Libo Liu
中科院分区：
文献类型：
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作者：
T. Yu;X. Zuo;C. Xia;Mingyuan Li;Cong Huang;T. Mao;Xiaoxin Zhang;B. Zhao;Libo Liu
提出了一种通过地面流星雷达 (MR) 和法布里-珀罗干涉仪 (FPI) 估算 OH 气辉层日平均峰值高度的新方法。第一批结果来自 MR 和 FPI 在中国中部两个相邻站点对风的 4 年同步测量，并与使用宽带发射辐射测量 (SABRE) 仪器的热层、电离层、中层能量和大气动力学/探测的观测结果进行了比较。 OH 气辉峰值高度是通过 FPI 和 MR 的风之间的相关性分析得出的，通常在 87 公里的高度达到峰值，并且每天经常在 80 公里到 90 公里之间变化。与 SABRE OH 1.6 μm 观测结果相比，发现气辉峰高度具有合理的相似性，并且快速的日常变化也很明显。 Lomb-Scargle 分析用于确定气辉峰值高度的时间变化周期，我们的气辉峰值高度和卫星观测都存在明显的周期性变化。除了年、半年、月、三个月的变化外，较短时间的变化，如日变化、数日变化也很明显。气辉高度的日常变化显然会降低观测精度并导致 FPI 测量出现一些偏差。 2011年至2015年，这些由气辉高度变化引起的FPI风偏差估计约为3-5 m/s，与气辉峰值高度变化呈强正相关。在使用和解释 FPI 测量的风时，应更多关注与气辉高度变化相关的风偏差。
A new method for estimating daily averaged peak height of the OH airglow layer from a ground‐based meteor radar (MR) and a Fabry‐Perot interferometer (FPI) is presented. The first results are derived from 4 year simultaneous measurements of winds by a MR and a FPI at two adjacent stations over center China and are compared with observations from the Thermosphere Ionosphere Mesosphere Energetics and Dynamics/Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) instrument. The OH airglow peak heights, which are derived by using correlation analysis between winds of the FPI and MR, are found to generally peak at an altitude of 87 km and frequently varied between 80 km and 90 km day to day. In comparison with SABER OH 1.6 μm observations, reasonable similarity of airglow peak heights is found, and rapid day‐to‐day variations are also pronounced. Lomb‐Scargle analysis is used to determine cycles of temporal variations of airglow peak heights, and there are obvious periodic variations both in our airglow peak heights and in the satellite observations. In addition to the annual, semiannual, monthly, and three monthly variations, the shorter time variations, e.g., day‐to‐day and several days' variations, are also conspicuous. The day‐to‐day variations of airglow height obviously could reduce observation accuracy and lead to some deviations in FPI measurements. These FPI wind deviations arising from airglow height variations are also estimated to be about 3–5 m/s from 2011 to 2015, with strong positive correlation with airglow peak height variation. More attention should be paid to the wind deviations associated with airglow height variation when using and interpreting winds measured by FPI.