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Statistical Characteristics of Mid‐Latitude Ionospheric F‐Region Backscatter Observed by the SuperDARN Jiamusi Radar.
- 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]
- Subjects :
- BACKSCATTERING
GENERAL circulation model
RADAR
COHERENT radar
COHERENT scattering
Subjects
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