Dataset and Analysis Code for: Solar–Atmospheric Statistical Co-variability and the Seasonal Window of Susceptibility (2004–2024)

This dataset contains the processed monthly data and analysis code used in the study: "Solar–Atmospheric Statistical Co-variability and the Seasonal Window of Susceptibility: Quantifying Unexplained SAM Variance (2004–2024)" The dataset includes: • merged_full.csv — Combined monthly dataset (SAM, Vsw, Bz, Dst, ENSO, QBO, F10.7) • classification_protocol.py — Three-tier event classification • six_tests_analysis.py — Core statistical testing suite • robustness_suite.py — Sensitivity and robustness analyses • figures_pipeline.py — Generation of Figures 1–6 • wavelet_analysis.py — Wavelet coherence analysis • run_all_analysis.py — Master script to execute the full pipeline • requirements.txt — Python dependency list The dataset spans 252 monthly observations (2004–2024) and supports the statistical analyses reported in the manuscript submitted to Journal of Geophysical Research: Atmospheres. All scripts are written in Python and designed to reproduce the figures and statistical results described in the manuscript. The dataset DOI will be cited in the finalهل published article.本数据集包含本研究使用的经预处理的月度数据与分析代码，对应研究论文：《太阳-大气统计协同变率与敏感性季节窗口：量化未解释的SAM方差（2004–2024）》。 本数据集包含以下内容： • merged_full.csv — 整合后的月度数据集，涵盖南极涛动（Southern Annular Mode, SAM）、太阳风速度（Solar Wind Speed, Vsw）、行星际磁场z分量（Interplanetary Magnetic Field Bz component, Bz）、磁暴环电流指数（Disturbance Storm Time index, Dst）、厄尔尼诺-南方涛动（El Niño-Southern Oscillation, ENSO）、平流层准两年振荡（Quasi-Biennial Oscillation, QBO）以及太阳10.7厘米射电流量（F10.7 cm solar flux, F10.7）。 • classification_protocol.py — 三级事件分类脚本 • six_tests_analysis.py — 核心统计测试套件 • robustness_suite.py — 敏感性与鲁棒性分析脚本 • figures_pipeline.py — 图1至图6的生成脚本 • wavelet_analysis.py — 小波相干分析脚本 • run_all_analysis.py — 执行完整分析流程的主脚本 • requirements.txt — Python依赖项列表 本数据集涵盖2004年至2024年共计252条月度观测数据，可支撑提交至《地球物理研究杂志：大气版》（Journal of Geophysical Research: Atmospheres）的研究手稿中报告的各类统计分析。 所有脚本均采用Python编写，可复现该手稿中所述的图表与统计结果。 本数据集的数字对象标识符（Digital Object Identifier, DOI）将在最终正式发表的论文中予以标注。