Field Line Resonances estimated using Machine Learning methods
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下载链接：
https://zenodo.org/record/4304910
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资源简介：
This data set contains the machine learning input matrix (composed by 1D Fourier cross-spectra) + additional information, for the Classification algorithm implemented in Foldes et al. (Automatic Detection of Field Line Resonance Frequencies in the Earth’s Plasmasphere, 2023) for the pair of station Tartu-Birzai (TAR-BRZ).
Each file contains the following header at line 1. Columns are:
- P(f0)-P(f211): Cross-phase value per frequency bin
- YEAR
- DOY (Day Of Year)
- HOUR
- ToD_flag: "Umbra", "Penumbra", 'Light'
- L: McIllwain parameter
- stat_tag: "tarbrz"
- Kp
- Kp_w_05d: Kp index weighted on a 12hrs time window
- Kp_w_10d: Kp index weighted on a 24hrs time window
- Kp_w_15d: Kp index weighted on a 36hrs time window
- Kp_w_20d: Kp index weighted on a 2-day time window
- Kp_w_25d: Kp index weighted on a 2.5-day time window
- Kp_w_30d: Kp index weighted on a 3-day time window
- Kp_m_05d: Kp index max on a 12hrs time window
- Kp_m_10d: Kp index max on a 24hrs time window
- Kp_m_15d: Kp index max on a 36hrs time window
- Kp_m_20d: Kp index max on a 2-day time window
- Kp_m_25d: Kp index max on a 2.5-day time window
- Kp_m_30d: Kp index max on a 3-day time window
- DST
- DST_m_05d: DST index min on a 12hrs time window
- DST_m_10d: DST index min on a 24hrs time window
- DST_m_15d: DST index min on a 36hrs time window
- DST_m_20d: DST index min on a 2-day time window
- DST_m_25d: DST index min on a 2.5-day time window
- DST_m_30d: DST index min on a 3-day time window
- F107: F10.7 solar activity proxy
- EField: Earth Electric co-rotation field
- f(mHz): FLR frequency in mHz
- df(mHz): Uncertainty on the validated frequency
- class: 0 for "NoFreq", 1 for "Freq" and 2 for "PBL"
创建时间：
2023-09-06
