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Automatic recognition of tweek atmospherics and plasma diagnostics in the lower ionosphere with the machine learning method

Mao Zhang GaoPeng Lu HaiLiang Huang ZhengWei Cheng YaZhou Chen Steven A.Cummer JiaYi Zheng JiuHou Lei

地球与行星物理（英文）2023，Vol.7Issue(3)：407-413,7.

地球与行星物理（英文）2023，Vol.7Issue(3)：407-413,7.DOI:10.26464/epp2023039

Automatic recognition of tweek atmospherics and plasma diagnostics in the lower ionosphere with the machine learning method

Mao Zhang ¹GaoPeng Lu ²HaiLiang Huang ¹ZhengWei Cheng ³YaZhou Chen ⁴Steven A.Cummer ⁵JiaYi Zheng ¹JiuHou Lei¹

作者信息

1. School of Earth and Space Sciences,University of Science and Technology of China,Hefei 230026,China
2. School of Earth and Space Sciences,University of Science and Technology of China,Hefei 230026,China||Key Laboratory of Atmospheric Optics,Anhui Institute of Optics and Fine Mechanics,Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,China||Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology,Nanjing 210044,China
3. State Key Laboratory of Space Weather,National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China
4. National Key Laboratory on Electromagnetic Environment Effects,Army Engineering University,Shijiazhuang Campus,Shijiazhuang 050003,China
5. Electrical and Computer Engineering Department,Duke University,Durham,NC 27708,USA
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摘要

关键词

machine learning method/tweek atmospherics/reflection height/D-region ionosphere

Key words

machine learning method/tweek atmospherics/reflection height/D-region ionosphere

引用本文复制引用

Mao Zhang,GaoPeng Lu,HaiLiang Huang,ZhengWei Cheng,YaZhou Chen,Steven A.Cummer,JiaYi Zheng,JiuHou Lei..Automatic recognition of tweek atmospherics and plasma diagnostics in the lower ionosphere with the machine learning method[J].地球与行星物理（英文）,2023,7(3):407-413,7.

基金项目

This work was supported by the Chinese Academy of Sciences(CAS)Project of Stable Support for Youth Team in Basic Research Field(Grant No.YSRR-018),the National Key R&D Program of China(Grant No.2019YFC1510103),the National Natural Science Foundation of China(Grant Nos.41875006 and U1938115),the Chinese Meridian Project,and the International Partnership Program of CAS(Grant No.183311KYSB20200003).The PaddleSeg and EISeg toolkits are available at https://github.com/PaddlePad-dle/PaddleSeg.The International Geomagnetic Reference Field(IGRF-13)is available at https://github.com/space-physics/igrf. （CAS）

地球与行星物理（英文）

OACSCDEI

ISSN：2096-3955

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