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Data and programmes to reproduce figures from Reichert et al. (2024)

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/11119613
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Figure 1: Use Figure_1.ipynb to plot Figure 1 from the manuscript of Reichert et al. (2024). Figure 2: Use Figure_2.ipynb to plot Figure 2 from the manuscript of Reichert et al. (2024). Figure 3: Use Figure_3.pro (IDL) to compute the wavelet transform of the test signals and save the results in Figure_3.nc. Finally, use Figure_3.ipynb to plot Figure 3 from the manuscript of Reichert et al. (2024). Figure 4: Use Figure_4.pro (IDL) to compute the wavelength ratio and save the results in Figure_4.nc. Finally, use Figure_4.ipynb to plot Figure 4 from the manuscript of Reichert et al. (2024). Figure 5: Use Figure_5.pro (IDL) to compute the wavelet transform of the test signals and save the results in Figure_5.nc. Finally, use Figure_5.ipynb to plot Figure 5 from the manuscript of Reichert et al. (2024). Figure 6: Use Figure_6.pro (IDL) to compute the wavlength ratio and save the results in Figure_6.nc. Finally, use Figure_6.ipynb to plot Figure 6 from the manuscript of Reichert et al. (2024). Figure 7: Use Figure_7.pro (IDL) to compute the wavelet transform of the test signals and save the results in Figure_7.nc. Finally, use Figure_7.ipynb to plot Figure 7 from the manuscript of Reichert et al. (2024). Figure 8: First, use Figure_8.pro (IDL) to read in the CORAL temperature data (20180521-2139_T60Z900.nc), extract one profile and derive temperature perturbations, temperature background, wave amplitude and stratification. Also, read in spectrally truncated (T21) ERA5 data (era5_riogrande_201805_T21Z500.sav) to compute the mid-frequency maximum vertical wavelength from winds and stratification. All derived quantities are saved in Figure_8.nc and are again read in with Figure_8.ipynb in order to create the actual Figure as seen in the manuscript of Reichert et al. (2024). Figure 9: Use Figure_9.pro (IDL) to do Monte Carlo simulations and determine the significance levels for the wavelet power spectrum and save the results in Figure_9.nc. Finally use Figure_9.ipynb to plot Figure 9 from the manuscript of Reichert et al. (2024). Figure 10: Use Figure_10.ipynb to plot Figure 10 from the manuscript of Reichert et al. (2024).

图1: 使用Figure_1.ipynb 生成Reichert等人2024年论文手稿中的图1。 图2: 使用Figure_2.ipynb 生成Reichert等人2024年论文手稿中的图2。 图3: 使用Figure_3.pro(IDL,交互式数据语言,Interactive Data Language)对测试信号执行小波变换,并将结果保存至Figure_3.nc(NetCDF格式数据文件);随后使用Figure_3.ipynb 生成Reichert等人2024年论文手稿中的图3。 图4: 使用Figure_4.pro(IDL)计算波长比,并将结果保存至Figure_4.nc;随后使用Figure_4.ipynb 生成Reichert等人2024年论文手稿中的图4。 图5: 使用Figure_5.pro(IDL)对测试信号执行小波变换,并将结果保存至Figure_5.nc;随后使用Figure_5.ipynb 生成Reichert等人2024年论文手稿中的图5。 图6: 使用Figure_6.pro(IDL)计算波长比,并将结果保存至Figure_6.nc;随后使用Figure_6.ipynb 生成Reichert等人2024年论文手稿中的图6。 图7: 使用Figure_7.pro(IDL)对测试信号执行小波变换,并将结果保存至Figure_7.nc;随后使用Figure_7.ipynb 生成Reichert等人2024年论文手稿中的图7。 图8: 首先使用Figure_8.pro(IDL)读取CORAL温度数据(20180521-2139_T60Z900.nc),提取单条温度剖面并推导温度扰动、温度背景场、波幅与层结参数;同时读取经光谱截断(T21)的ERA5数据(era5_riogrande_201805_T21Z500.sav),以从风场与层结中计算中频最大垂直波长。所有导出变量均保存至Figure_8.nc,随后通过Figure_8.ipynb 读取该文件,生成Reichert等人2024年论文手稿中的对应图件。 图9: 使用Figure_9.pro(IDL)执行蒙特卡洛(Monte Carlo)模拟,确定小波功率谱的显著性水平,并将结果保存至Figure_9.nc;随后使用Figure_9.ipynb 生成Reichert等人2024年论文手稿中的图9。 图10: 使用Figure_10.ipynb 生成Reichert等人2024年论文手稿中的图10。
创建时间:
2024-06-18
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