CEDAR Postdoc: Physical Interpretation of Total Electron Content (TEC) Response during Intense Geomagnetic Storms Using Data Assimilation and Physically-Based Models

使用基于物理和数据同化的联合模式研究了电离层总电子含量(TEC)的形态以及改变TEC的特定电动力学。博士后研究为案例研究定义了十个具体的风暴，分为夜间、白天和黄昏事件。使用非相干散射雷达数据、电离层探空仪数据和卫星数据的组合对模型结果进行了验证。通过确定在磁暴期间产生变化的大气物理学，这项研究提高了有效预测TEC的可能性。

The morphology of ionospheric total electron content (TEC), and specific electrodynamics that alter TEC, are investigated using combined physics-based and data assimilation models. The postdoctoral research defines ten specific storms for case study, divided into nighttime, daytime, and twilight events. Model results are validated using a combination of incoherent scatter radar data, ionosonde data, and satellite data. By identifying the atmospheric physics that produces changes during magnetic storms, the research improves the liklihood of effective TEC forecasting.