Assimilative modeling of low latitude ionosphere

X. Pi, Chunming Wang, G.A. Hajl, I. Rosen
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引用次数: 7

Abstract

In this paper we present an observation system simulation experiment for modeling low-latitude ionosphere using a 3-dimensional (3-D) global assimilative ionospheric model (GAIM). The experiment is conducted to test the effectiveness of GAIM with a 4-D variational approach (4DVAR) in estimation of the ExB drift and thermospheric wind in the magnetic meridional planes simultaneously for all longitude or local time sectors. The operational Global Positioning System (GPS) satellites and the ground-based global CPS receiver network of the International CPS Service are used in the experiment as the data assimilation source. The optimization of the ionospheric state (electron density) modeling is performed through a nonlinear least-squares minimization process that adjusts the dynamical forces to reduce the difference between the modeled and observed slant total electron content in the entire modeled region. The present experiment for multiple force estimations reinforces our previous assessment made through single driver estimations conducted for the ExB drift only.
低纬度电离层同化模拟
本文介绍了利用三维全球同化电离层模型(GAIM)模拟低纬度电离层的观测系统模拟实验。利用4维变分方法(4DVAR),验证了GAIM在所有经度或地方时扇区磁经面同时估计ExB漂移和热层风的有效性。实验采用全球定位系统(GPS)现役卫星和国际CPS服务的地面全球CPS接收机网络作为数据同化源。电离层状态(电子密度)模型的优化是通过非线性最小二乘最小化过程来实现的,该过程通过调整动力来减小整个模拟区域中模拟和观测的倾斜总电子含量之间的差异。目前对多重力估计的实验加强了我们以前通过仅对ExB漂移进行的单驱动估计所做的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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