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Statistical Characteristics of Mid‐Latitude Ionospheric F‐Region Backscatter Observed by the SuperDARN Jiamusi Radar.

Authors :
Wang, Wei
Zhang, Jiaojiao
Wang, Chi
Chen, Junjie
Dang, Tong
Lei, Jiuhou
Ruohoniemi, John Michael
Source :
Radio Science; Jul2023, Vol. 58 Issue 7, p1-10, 10p
Publication Year :
2023

Abstract

The Jiamusi (JME) radar is the first high‐frequency coherent scatter radar independently developed in China. In this study, we investigate the statistical characteristics of the Jiamusi radar scattering occurrence rate from the F‐region ionosphere between 40°N and 65°N geomagnetic latitude (MLAT) from March 2018 to November 2019. Then, the diurnal and seasonal variations in scattering echoes and their dependence on geomagnetic conditions are statistically investigated. It is shown that the local time of the peak scattering occurrence rate varies depending on the seasons, that is, approximately 20–22.5 magnetic local time (MLT) in summer, 17.5–20.5 MLT in equinox, and 16–17.5 MLT in winter, which is closely associated with the time of sunset. The occurrence rate also increases with the enhancement of the Kp index. To further understand the mechanism of these features, we simulate the distribution of the gradient drift instability (GDI) indicator ∇n·V→/n $\nabla n\cdot \overrightarrow{V}/n$ by using the Thermosphere‐Ionosphere‐Electrodynamics General Circulation Model (TIEGCM). The analysis results indicate that the GDI may be one of the factors that contribute to these characteristic features. Key Points: Using the JME radar data to study the diurnal, seasonal, and Kp dependencies of mid‐latitude F‐region scattering occurrence rateAt night, there is a long and narrow area with an increasing scattering occurrence rate in the mid‐latitudeGradient drift instability may influence the distribution characteristics of the scattering occurrence rate of the Jiamusi radar observation [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00486604
Volume :
58
Issue :
7
Database :
Complementary Index
Journal :
Radio Science
Publication Type :
Academic Journal
Accession number :
167371311
Full Text :
https://doi.org/10.1029/2022RS007634