Solar cycle and long-term trends in the observed peak of the meteor altitude distributions by meteor radars

The datasets here correspond to a paper by Dawkins et al., “Solar cycle and long-term trends in the observed peak of the meteor altitude distributions by meteor radars”, originally submitted in November 2022. The following datasets are sufficient to produce Figure 2 and 3 in the main manuscript. Figure 2: Please use the 12 individual files with filenames, “Dawkins_et_al_2022__meteor_peak_altitude__*_data.txt”. Here the asterisk should be replaced by one of the following station abbreviations: CAR, COL, CPa, DAV, KIR, KSS, ROT, SMa, SOD, SVA, TdF, and TRO. Each file contains 5 columns: Column 1 is year (from 1999 to 2022), Column 2 is the time series of the annual peak altitude residuals (no units), Column 3 is the corresponding standard error, Column 4 is the multilinear model fit, and Column 5 is the normalized annual solar flux (F10.7) in arbitrary units. Figure 3: Please use “Dawkins_et_al_2022__meteor_peak_altitude_trends.txt”. For ease, a description of the different columns is included within this file.

本数据集对应Dawkins等人于2022年11月提交的论文《流星雷达观测到的流星高度分布峰值的太阳周期与长期趋势》（Solar cycle and long-term trends in the observed peak of the meteor altitude distributions by meteor radars）。以下数据集足以复现正文内的图2与图3。
图2：请使用12个独立数据文件，文件名格式为"Dawkins_et_al_2022__meteor_peak_altitude__*_data.txt"，其中星号需替换为以下台站缩写之一：CAR、COL、CPa、DAV、KIR、KSS、ROT、SMa、SOD、SVA、TdF、TRO。每个文件包含5列数据：第1列为年份（取值范围1999至2022年），第2列为年度峰值高度残差的时间序列（无单位），第3列为对应的标准误差，第4列为多元线性模型拟合结果，第5列为归一化年度太阳通量（F10.7），单位为任意单位。
图3：请使用文件"Dawkins_et_al_2022__meteor_peak_altitude_trends.txt"。为便于使用，该文件内已包含各列的详细说明。