Space Weather: Monitoring and Prediction with a GPS-Data Assimilation Model

研究人员将开发一个数据同化电离层模型，该模型主要由全球定位系统（GPS）获得的数据驱动。该模型将克服通过总电子含量层析成像获得测量的局限性，依赖于电离层状态的第一原理动力学方程。该项目的主要目标是：(1)在现有物理模型的基础上建立中低纬度数据同化模型，(2)利用GPS接收器连续跟踪地面网络获得的总电子含量数据作为模型输入，(3)利用跟踪GPS的近地轨道器获得的总电子含量数据作为模型输入，(4)推导出三维电子密度场，(5)通过与独立测量值的对比，评估模型的精度。(6)通过与实际测量值的比较，评价模型的预测能力。

The investigators will develop a data assimilation ionospheric model to be driven mainly by data obtained from the Global Positioning System (GPS). This model will overcome limitations experienced in obtaining measurements through total electron content tomography, relying on the first principle dynamical equations governing the state of the ionosphere. The main goals of the project are: (1) developing a mid- and low-latitude data assimilation model based on an existing physics-based model, (2) using the total electron content data obtained from the continuously tracking ground network of GPS receivers as input to the model, (3) using the total electron content data obtained from a low-Earth orbiter tracking GPS as input to the model, (4) deriving a 3-D field of electron density, (5) evaluating the accuracy of the model by comparing to independent measurements, and (6) evaluating the predictive power of the model by comparing predicted measurements to actual ones.