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A Dataset of Geomagnetic Kpest Index from Individual Stations (2022-2024)
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Jing WANG1, Qiuzhen ZHONG1, 2, Bingxian LUO1, 2, Xiao WANG1, Mingliang ZHAO1, Yonghong CHENG1, Hua SHEN1
Chinese Journal of Space Science | 2026, 46(2) : 548 - 555
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Chinese Journal of Space Science | 2026, 46(2): 548-555
Science Data Paper
A Dataset of Geomagnetic Kpest Index from Individual Stations (2022-2024)
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Jing WANG1, Qiuzhen ZHONG1, 2, Bingxian LUO1, 2, Xiao WANG1, Mingliang ZHAO1, Yonghong CHENG1, Hua SHEN1
Affiliations
  • 1State Key Laboratory of Solar Activity and Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing 100190
  • 2School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 101408
Published: 2026-03-15 doi: 10.11728/cjss2026.02.2025-0131
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The Kp index is a parameter designed to indicate the level of global geomagnetic disturbances originating from the interaction of the solar wind with the magnetosphere. The index is defined at 3-hour intervals and has 28 levels. Kp is a global version of the local K index, which was conceived by Bartels and is commonly used in scientific research of the solar-terrestrial relationship. The continuity of the index over 50 year makes it particularly valuable in studies of solar-cycle variations and other long-term effects on interplanetary and magnetospheric phenomena. For example, Kp has been used in studies of solar wind shock waves, the interplanetary magnetic field, plasma density variations in the magnetosphere, and magnetospheric ULF waves. In addition, the index is widely used as an input to magnetospheric/ionospheric models. For example, the plasmapause is modeled to move closer to the Earth with increasing Kp. The location of substorm injection is modeled to have a similar Kp dependence. The magnetic field model of Tsyganenko has an explicit Kp dependence, and the magnetotail becomes more stretched for higher Kp. These models are used both in scientific research and in monitoring and predicting space weather. In 2011, the National Space Science Center of the Chinese Academy of Sciences established the Chinese Academy of Sciences Space Environment Monitoring Network, which included Mohe, Beijing, Langfang, Sanya, and Fuke stations. A geomagnetic Kpest index, which can effectively identify the day-to-day variation characteristics of the geomagnetic regular daily variation, reflect the seasonal and local time effects of geomagnetic disturbances, and is suitable for the distribution characteristics of China’s geomagnetic observatory network, has been developed through the integration and processing of the H-component monitoring data from fluxgate magnetometers at these five geomagnetic observatory stations. This dataset contains the geomagnetic Kpest indices for the five geomagnetic observatory stations from 2022 to 2024. It addresses the current situation where the official Kp index is released with a two-week delay, failing to meet operational requirements, and can provide data support for space weather forecasting services.

Kpest index  /  Geomagnetic storm  /  Space weather  /  Fluxgate magnetometer
Jing WANG, Qiuzhen ZHONG, Bingxian LUO, Xiao WANG, Mingliang ZHAO, Yonghong CHENG, Hua SHEN. A Dataset of Geomagnetic Kpest Index from Individual Stations (2022-2024)[J]. Chinese Journal of Space Science, 2026 , 46 (2) : 548 -555 . DOI: 10.11728/cjss2026.02.2025-0131
Year 2026 volume 46 Issue 2
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doi: 10.11728/cjss2026.02.2025-0131
  • Receive Date:2025-07-31
  • Online Date:2026-07-08
  • Published:2026-03-15
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  • Received:2025-07-31
  • Revised:2025-12-09
Affiliations
    1State Key Laboratory of Solar Activity and Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing 100190
    2School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 101408
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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