2026-10-13T06:27:56Z https://www.scidb.cn/oai

10.57760/sciencedb.25466 2025-05-23T10:11:09Z

2025-05-23 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. doi:10.57760/sciencedb.25466 en 48395 1st-order tweeks in total, the variables are:dt, Occurrence time for each tweek signal h, Reflection height of the tweek signal (Unit: [km])Ne, The electron density at the reflection height (Unit: [cm-3])D, Horizontal propagation distance of the tweek signal (Unit: [km])pos, The source lightning location [latitude, longitude](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. http://doi.org/10.26464/epp2023039 tweek atmospherics; nighttime lower ionosphere; electron density Mao Zhang Gaopeng Lu PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset Science Data Bank