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Data · dataset · 2024

The inversion results of tweek atmospherics near Duke Forest, during January to April, 2010

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Description

The inversion ionosphere parameters based on the automatic model for tweek atmospherics (Zhang et al., 2023) recorded by the VLF sensor in Duke Forest during January to April, 2010.Format: (.mat) file for matlabDescription: 182,204 1st-order tweeks in total, each record (row) is a tweek inversion result, columns are arranged as:Occurrence time for each tweek signal (start time, in matlab datenum format, please refer to: (Not recommended; use datetime or duration) Convert date and time to serial date number - MATLAB datenum - MathWorks Deutschland)Reflection height of the tweek signal (Unit: [km])The electron density at the reflection height (Unit: [cm-3])Horizontal propagation distance of the tweek signal (Unit: [km])The source lightning location [latitude, longitude] ([0,0] means the source cannot be traced)Whether the source lightning is traceable (0 for N, 1 for Y)(Note: to trace the source lightning, the NLDN lists are used to compare the lightning stroke time and the start time of the tweek signals) Reference:Zhang, M., Lu, G. P., Huang, H. L., Cheng, Z. W., Chen, Y. Z., Cummer, S. A., Zheng, J. Y., and Lei, J. H. (2023).

Automatic recognition of tweek atmospherics and plasma diagnostics in the lower ionosphere with the machine learning method. Earth Planet. Phys., 7(3), 1–7. doi.org/10.26464/epp2023039

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Provenance · 1 source records, 12 field assertions
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ScienceDB10.57760/sciencedb.167879 d agoJSON v1
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