On the utility of the ionosonde Doppler-derived EXB drift during the daytime

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Title:	On the utility of the ionosonde Doppler-derived EXB drift during the daytime
Authors:	許樂利;Joshi, L. M.;Sripathi, S.
Contributors:	全球大氣觀測與資料應用研究中心
Keywords:	Correlation;Daytime;Doppler;Doppler effect;Drift;Equator;equatorial Ionization anomaly;Ionization;ionosonde EXB drift;Ionosondes;Ionosphere;Neural networks;Photochemistry;Regression analysis;SAMI2 model;Seasons
Date:	2016-03-01
Issue Date:	2026-04-23 11:25:02 (UTC+8)
Publisher:	Washington: Blackwell Publishing Ltd
Abstract:	摘要： Vertical EXB drift measured using the ionosonde Doppler sounding during the daytime suffers from an underestimation of the actual EXB drift because the reflection height of the ionosonde signals is also affected by the photochemistry of the ionosphere. Systematic investigations have indicated a fair/good correlation to exist between the C/NOFS and ionosonde Doppler‐measured vertical EXB drift during the daytime over magnetic equator. A detailed analysis, however, indicated that the linear relation between the ionosonde Doppler drift and C/NOFS EXB drift varied with seasons. Thus, solar, seasonal, and also geomagnetic variables were included in the Doppler drift correction, using the artificial neural network‐based approach. The RMS error in the neural network was found to be smaller than that in the linear regression analysis. Daytime EXB drift was derived using the neural network which was also used to model the ionospheric redistribution in the SAMI2 model. SAMI2 model reproduced strong (weak) equatorial ionization anomaly (EIA) for cases when neural network corrected daytime vertical EXB drift was high (low). Similar features were also observed in GIM TEC maps. Thus, the results indicate that the neural network can be utilized to derive the vertical EXB drift from its proxies, like the ionosonde Doppler drift. These results indicate that the daytime ionosonde measured vertical EXB drift can be relied upon, provided that adequate corrections are applied to it. Key Points CADI Doppler drift correlate well with C/NOFS drift and their relation was found to vary with seasons Artificial neural network‐based approach has been utilized to correct the daytime CADI drift against underestimation Corrected CADI EXB drift has also been utilized to model the daytime ionospheric distribution in the SAMI2 model 出版者： Washington: Blackwell Publishing Ltd 出版日期： 2016-03 出處： Journal of geophysical research : Space physics (2013 - Present), 2016-03, Vol.121 (3), p.2795-2811 資源來源： Wiley Online Journals ** 版權： 2016. American Geophysical Union. All Rights Reserved. 識別號： ISSN: 2169-9380 識別號： ISSN: 2169-9402 識別號： EISSN: 2169-9402 識別號： DOI: 10.1002/2015JA021971
Appears in Collections:	[Global Atmosphere Observation and Data Application Research Center] journal & Dissertation

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