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We compare the SuperDARN convection patterns with the predictions of a new numerical model of the global distribution of ionospheric electric potentials. The model utilizes high-precision statistical maps of field-aligned currents (FAC) derived from measurements made by polar-orbiting low-altitude satellites. Both the solar and auroral precipitation contributions are included in order to derive the ionospheric conductance. Taking into account the electrodynamic coupling of the opposite hemispheres, the model allows one to obtain the convection patterns developed simultaneously in both hemispheres for given input parameters. SuperDARN, with its database containing global northern and southern convection maps, provides the unique opportunity to compare the model predictions of electric fields with observations. In the present study we focus on the effect of significant interhemispheric asymmetry governed by the IMF clock angle and solar zenith angle. We calculate the convection patterns for specific cases caused by the sign of BY and season and demonstrate the capability of the FAC-based model reproduce the radar observations. The simulation confirms that the solar zenith angle should be linked to the IMF clock angle to fully characterize the convection patterns. The model predicts that the cross-polar cap potential drop is regularly larger in the winter hemisphere than in the summer hemisphere. 相似文献
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电离层对流速度会显著影响电离层闪烁的发生,尤其是在具有较大对流速度的高纬极区,且其对相位闪烁指数和幅度闪烁指数影响各不相同.本文基于弱散射条件下电离层闪烁理论,初步构建了极区电离层闪烁指数与对流速度的显式关系模型,模型结果表明当相位谱指数取定值3时,相位闪烁指数和幅度闪烁指数的比值与对流速度存在线性关系;进而,利用加拿大Hall Beach台站的观测数据,验证了由电离层闪烁指数比值推断电离层对流速度这一方法在极区的适用性.这不仅提升我们对电离层闪烁机理的认识,也提供了一种获取极区电离层对流速度的新途径,将有助于改善和提高我国北斗全球导航系统的服务精度.
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本文利用北半球的超级双极光雷达网数据,考察了一次行星际磁场南向突变时高纬电离层对流的响应特征,着重分析了响应的时间尺度. 对所研究的事件,行星际磁场南北分量在1.5 min内从+7 nT突变到-8 nT,而在突变前后约40 min内都保持相对稳定. 结果表明,电离层对流的初始响应发生在磁正午附近,相对于行星际磁场突变到达磁层顶的时间有大约3 min的滞后;响应与磁地方时有明显依赖关系,离磁正午越远,响应的滞后时间越长,晨昏两侧的对流响应比磁正午滞后约6 min,磁午夜的对流响应比磁正午滞后约12 min;对流重新趋于稳定的时间与磁地方时没有明显的依赖关系,该时间尺度约为10~14 min. 相似文献
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A decade of the Super Dual Auroral Radar Network (SuperDARN): scientific achievements, new techniques and future directions 总被引:2,自引:0,他引:2