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A Dataset of Kpest index from Individual Stations (2022-2024)

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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.

Description

By integrating and processing the H-component monitoring data from fluxgate magnetometers at these five geomagnetic observatory stations, we have developed a geomagnetic Kpest index that 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.

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.

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Catalogue records · 1

Topics

Inferred from text
Geoinformatics 72%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00187.0010512 d agoJSON v1
FieldAssertionExtractorEvidence
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