Daily Dynamo Electric Fields Derived by Using Equatorial Ionization Anomaly Crests of the Total Electron Content

Daily Dynamo Electric Fields Derived by Using Equatorial Ionization Anomaly Crests of the Total Electron Content
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DOI:
10.1029/2022sw003073
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发表时间:
2022-11
期刊:
Space Weather
影响因子:
--
通讯作者:
Ching Cheng;Jann‐Yenq Liu;C. Lin;Yin‐Chen Cheng
Ching Cheng;Jann‐Yenq Liu;C. Lin;Yin‐Chen Cheng
中科院分区:
其他
文献类型:
--
作者:
Ching Cheng;Jann‐Yenq Liu;C. Lin;Yin‐Chen Cheng

文献摘要

相似文献

利用全球电离层图(GIM)总电子含量(TEC)中两个赤道电离异常(EIA)波峰之间的纬度距离,通过比较ROCSAT-1垂直离子速度计算的四个季节的东向电场,推导出每日发电机东向电场。由 GIM TEC 的 EIA 峰值、ROCSAT-1 离子速度和 Jicamarca 的非相干散射雷达 (ISR) 观测得出的电场在经度和季节上总体上非常一致。同时,EIA 波峰导出的电场与 ROCSAT-1、FORMOSAT-7/COSMIC-2 和 Jicamarca ISR 在个别日子导出的电场非常吻合。对 GIM-TEC 波峰距离的长期研究揭示了 1999 年至 2020 年日常发电机电场明显的太阳活动依赖性。这些协议证实,EIA 波峰可用于导出每日向东的发电机电场和相关的垂直离子速度,这负责赤道等离子体喷泉的强度和 EIA 的纬度延伸。此外,由 GIM-TEC 峰距得出的垂直离子速度进一步用于改进空间天气应用的 SAMI2 模型。
Latitudinal distances between the two equatorial ionization anomaly (EIA) crests in total electron content (TEC) of global ionosphere map (GIM) are used to derive the daily dynamo eastward electric field by comparing the eastward electric field calculated by ROCSAT‐1 vertical ion velocity in four seasons. The electric fields derived by the EIA crests of GIM TEC, ROCSAT‐1 ion velocity, and the incoherent scatter radar (ISR) observations at Jicamarca are generally in good agreement in longitudes and seasons. Meanwhile, the electric fields derived by the EIA crests agree well with those by ROCSAT‐1, FORMOSAT‐7/COSMIC‐2, and Jicamarca ISR on individual days. A long‐term study of the GIM‐TEC crest distance reveals obvious solar activity dependency of the daily dynamo electric field during 1999–2020. These agreements confirm that the EIA crest can be used to derive the daily eastward dynamo electric field and the associated vertical ion velocity which is responsible to the strength of equatorial plasma fountain and the latitudinal extend of the EIA. Moreover, the vertical ion velocity derived by the GIM‐TEC crest distance is further used to improve the SAMI2 model for space weather applications.