Development of the Global Assimilative Ionospheric Model
Development of the Global Assimilative Ionospheric Model
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DOI：
10.1029/2002rs002854
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发表时间：
2004-02
期刊：
影响因子：
1.6
通讯作者：
Chunming Wang;G. Hajj;X. Pi;I. Rosen;B. Wilson
中科院分区：
文献类型：
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作者：
Chunming Wang;G. Hajj;X. Pi;I. Rosen;B. Wilson
本文综述了美国南加州大学（USC）和喷气推进实验室（JPL）的研究团队建立的全球同化电离层模型（GAIM）。USC/JPL GAIM利用在气象应用中广泛应用的数据同化技术来监测和预报地球电离层。我们讨论了GAIM的总体结构，包括电离层的第一性原理模型、驱动力的一系列辅助模型、数据处理子系统和优化子系统。提出了电离层中电子密度和驱动力估计的两种技术：四维变分法和卡尔曼滤波。给出了一些验证方法和结果。这些结果证明了GAIM在提供电离层精确规格方面的潜力。
This paper provides an overview of the development of the Global Assimilative Ionospheric Model (GAIM) by a team of investigators from the University of Southern California (USC) and the Jet Propulsion Laboratory (JPL). The USC/JPL GAIM utilizes data assimilation techniques, which are widely used in meteorological applications, for the purpose of monitoring and forecasting Earth's ionosphere. We discuss the general structure of GAIM, which includes a first‐principles model of the ionosphere, a series of auxiliary models for the driving forces, a data processing subsystem, and an optimization subsystem. Two techniques for the estimation of electron density and driving forces in the ionosphere are presented: The four‐dimensional variational method and the Kalman filter. Some validation methods and results are also presented. These results demonstrate the potential of GAIM in providing accurate specification of the ionosphere.