火星空间大尺度电流体系分布特征

在MHD模型基础上, 对火星空间环境的电流分布进行了模拟. 结果表明, 火星空间存在着弓激波电流、磁堆积区电流、电离层电流和磁尾电流. 弓激波电流在激波曲面上均由北向南自成体系, 电流密度在弓激波顶区域较大. 在向阳面磁堆积区边界电流与电离层电流彼此耦合形成完整的回路, 在背阳面磁堆积区边界电流与磁尾中心电流片耦合形成完整的回路.      

Comparing TOPEX TEC measurements with IRI predictions

TEC values obtained from TOPEX satellite were compared with the International Reference Ionosphere (IRI) 2001 model estimates. The present work also shows results of the IRI model with the option of a new topside electron density distribution (NeQuick model). TOPEX TEC measurements, which include years of high and middle to low solar activity (2000 and 2004), were analyzed by binning the region covered by the satellite (±66°) every five degrees of modip. In general, there is good agreement between IRI predictions and Topex measurements. Cases with large disagreements are observed at low and high latitudes during high solar activity. Comparing the model predictions using the default IRI2001 model and the NeQuick topside option show that the default IRI 2001 version represents the observed data in a more realistic way, but appears to be less reliable at high and low latitudes in some cases.     

Ionosphere tomography based on spaceborne SAR

Two models of ionosphere tomography based on spaceborne SAR (Synthetic Aperture Radar) are proposed. For HF-SAR the signal with sweeping frequency lower than the characteristic frequency of ionosphere will be scatted during the ionosphere propagation and completely reflected at a corresponding height. The ionospheric electron density isolines looked as series of random surfaces can be reconstructed from the HF-SAR echoes by using the inverse scattering technique for layered rough surfaces and the method of moment (MoM). The numerical simulation show that due to the MoM can provide a full wave solution, the ionosphere tomography with high resolution can be obtained as long as enough sampling data of HF-SAR echoes are used. For VHF/UHF/P/L-band SAR the TEC (Total Electron Content) can be obtained from the SAR echoes scattered by some strong point targets (such as the calibrators, etc.) appeared in the SAR imaged ground region, and the ionosphere tomography can be performed by CT technique.     

Influence of the Ionosphere on the Observation of the Mid-Latitude Pi2 Pulsations at the Global Scale

Results of our investigation showed that occurrence frequency of Pi2 over a 24 hour period undergoes seasonal variations in time coincidence with foF2. In the winter months, at sunrise and sunset (when foF2gradients are the largest) the observation probability of these oscillations is minimal. At periods of summer solstice when the F2-layer persists almost round the clock, no effect of Pi2 pulsation attenuation is observed at sunrise and sunset. The pulsation amplitudes behave in a similar manner. Results of this study suggest the conclusion that the propagation of signal from the Pi2 sourse into the mid-latitudes, and also the parameters of these pulsations are essentially affected by electron density in the ionospheric F2-layer.      

Modelling of Geomagnetic Storm Effects in the Ionosphere of East Asia

This paper presents simulated results of the ionospheric behavior during few geomagnetic storms,which were occurred in the different seasons. The numerical model for ionosphere-plasmasphere coupling was used to interpret the observed variation of ionosphere structure. Reasons why the positive storms are dominant in the winter whereas the negative ones are dominant in the summer season present the special interest for the mid-latitude ionosphere. A theoretical analysis of the processes controlling the ionospheric response to the geomagnetic storms has showed a good agreement between the simulated results and measurements, as well as the crucial role of the neutral composition variations to fit the calculated and the observed ionospheric parameters.      

新疆于田7.2 级地震前的电离层电磁扰动

利用法国DEMETER 卫星观测的电磁、等离子体等参量的观测数据分析了2008 年3 月21日新疆于田7.2 级地震前离子温度Ti、离子密度Ni、甚低频(VLF) 磁场等出现的异常变化. Ti分析显示震中区上空出现的突变信号在更大空间多次重复出现, 作为地震异常的信度不高. 通过多次重访轨道对比发现H+ 离子密度整体变化形态一致, 但夏秋季节的峰值变化幅度是冬春季节的1 倍. 通过把2008 年的数据与2007 年和2006 年同期的重访轨道数据进行对比, 发现2008 年在于田地震前1 个月左右Ni 在峰值区呈现了显著增强的变化趋势, 并一直持续到地震前, 2008 年2 月以后的峰值幅度是其他两年同期的~1 倍多. 对于磁场频谱数据, 抽取了震中区域上空2000 km 范围内多个轨道的单频(400 Hz)信息, 并在研究区域统一纬度空间(0~60°N) 进行了时间序列对比, 结果发现地震前2 日内震中区域上空400 Hz 谱密度增加了近一个数量级, 反映空间存在明显的VLF 电磁辐射现象. 对于3 月20 日极低频段(ELF) 三分量电磁场的矢量分析显示观测时段内存在一些左旋极化电磁信号, 反映了空间电离层离子密度变化伴随ELF 电磁辐射信息. 综合分析认为, 这次地震前各参量的变化过程与目前地震孕育及电离层耦合机理相吻合.      

GPS single-frequency orbit determination for low Earth orbiting satellites

The determination of high-precision orbits for Low Earth Orbiting (LEO) satellites (e.g., CHAMP, GRACE, MetOp-A) is based on dual-frequency tracking data from on-board GPS (Global Positioning System) receivers. The two frequencies allow it to eliminate the first order ionosphere effects. Data screening and precise orbit determination (POD) procedures are optimized under the assumption of the availability of two frequencies.     

A new technique for direction of arrival estimation for ionospheric multipath channels

A novel array signal processing technique is proposed to estimate HF channel parameters including number of paths, their respective direction of arrivals (DOA), delays, Doppler shifts and amplitudes. The proposed technique utilizes the Cross Ambiguity Function (CAF), hence, called as the CAF-DF technique. The CAF-DF technique iteratively processes the array output data and provides reliable estimates for DOA, delay, Doppler shift and amplitude corresponding to each impinging HF propagated wave onto an antenna array. Obtained results for both real and simulated data at different signal to noise ratio (SNR) values indicate the superior performance of the proposed technique over the well known MUltiple SIgnal Classification (MUSIC) technique.     

电离层F层中舒曼共振现象的检测

利用Ａｕｒｅｏｌ－３卫星在电离层Ｆ层高度上（６５０ｋｍ左右）对电离层电场扰动与电子密度扰动的观测进行分析处理,在高纬电离层Ｆ层高度上可以检测到舒曼共振现象。根据等离子体参数,可以认为,发生在这个高度上的舒曼共振现象与Ｌ模式的波传播有关,舒曼共振的基频是与电子密度的大尺度不规则性有关,谐波分量与正向密度梯度相关。     

Thermal and TEC anomalies detection using an intelligent hybrid system around the time of the Saravan,Iran, (Mw = 7.7) earthquake of 16 April 2013

A powerful earthquake of M_w = 7.7 struck the Saravan region (28.107° N, 62.053° E) in Iran on 16 April 2013. Up to now nomination of an automated anomaly detection method in a non linear time series of earthquake precursor has been an attractive and challenging task. Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) have revealed strong potentials in accurate time series prediction. This paper presents the first study of an integration of ANN and PSO method in the research of earthquake precursors to detect the unusual variations of the thermal and total electron content (TEC) seismo-ionospheric anomalies induced by the strong earthquake of Saravan. In this study, to overcome the stagnation in local minimum during the ANN training, PSO as an optimization method is used instead of traditional algorithms for training the ANN method. The proposed hybrid method detected a considerable number of anomalies 4 and 8 days preceding the earthquake. Since, in this case study, ionospheric TEC anomalies induced by seismic activity is confused with background fluctuations due to solar activity, a multi-resolution time series processing technique based on wavelet transform has been applied on TEC signal variations. In view of the fact that the accordance in the final results deduced from some robust methods is a convincing indication for the efficiency of the method, therefore the detected thermal and TEC anomalies using the ANN + PSO method were compared to the results with regard to the observed anomalies by implementing the mean, median, Wavelet, Kalman filter, Auto-Regressive Integrated Moving Average (ARIMA), Support Vector Machine (SVM) and Genetic Algorithm (GA) methods. The results indicate that the ANN + PSO method is quite promising and deserves serious attention as a new tool for thermal and TEC seismo anomalies detection.