上述新结果对于认识低纬电离层特性具有重要的科学意义，对于电离层预报模型的建立也有重要的应用价值。
The results mentioned above are important for studying the characteristics of low latitude ionosphere and are significant to develop an ionospheric prediction model.
利用人工神经网络技术，提出预报离散随机的电离层骚扰事件的新方案。
A new method for predicting disturbances in the ionosphere by using the Artificial Neural Network (ANN) has been presented.
大气折射，对流层延迟，电离层延迟，局部大气模式，大气预报模式，电子含量格网改正。
Atmosphere Refraction, Troposphere Delay, Ionosphere Delay, Local Atmosphere Mode, Atmosphere Predictive Mode, Corrective Grid of Electron Content.
现从事的工作主要涉及：全球电离层模型的研究和应用、电离层暴扰动形态、物理机制和预报等方面的研究。
My present work mainly involves the study of global ionospheric model and the ionospheric storm including its morphology, physics, prediction, and so on.
现从事的工作主要涉及：全球电离层模型的研究和应用、电离层暴扰动形态、物理机制和预报等方面的研究。
My present work mainly involves the study of global ionospheric model and the ionospheric storm including its morphology, physics, prediction, and so on.
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