Storm time neutral density assimilation in the thermosphere ionosphere with TIDA
Storm time neutral density assimilation in the thermosphere ionosphere with TIDA
复制标题
使用 TIDA 进行热层电离层风暴时间中性密度同化
DOI：
10.1051/swsc/2022011
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发表时间：
2022
影响因子：
3.3
通讯作者：
Fedrizzi, Mariangel
中科院分区：
文献类型：
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作者：
Codrescu, Mihail V.;Codrescu, Stefan M.;Fedrizzi, Mariangel
为了改进扰动条件下的热层-电离层模拟，需要能够考虑在模拟域内移动的大而快速的梯度的数据同化方案。我们认为，这需要一个基于非平稳协方差的物理背景模型。使用基于物理的模型的另一个好处是，与经验模型的大部分基于持久性的预测相比，预测能力将得到提高。作为参考实现，我们开发了一个称为热层电离层数据同化（TIDA）的集成卡尔曼滤波（enKF）软件，以基于物理的耦合热层电离层等离子体层电动力学（CTIPe）模型为背景。本文介绍了2003年10月27-31日万圣节风暴期间在非常扰动（Kp= 9）条件下吸收GRACE-A和B以及CHAMP中性密度测量结果的详细实验结果。TIDA不使用被太阳高能质子污染的L1太阳风测量值，而是通过密度测量值估计模型驱动因素来模拟这一扰动期。我们还简要介绍了2002年9月27日至10月2日和2004年7月26日至30日两个额外风暴的统计结果，以表明同化中性密度规格的改善不是2003年万圣节风暴期间强迫观测的错误产物。通过显示一次同化一颗卫星的统计结果，我们表明，TIDA为整个风暴期间的中性密度提供了一致的全球规范——这是计算卫星阻力和空间交通管理中避免碎片碰撞的关键能力。
To improve Thermosphere–Ionosphere modeling during disturbed conditions, data assimilation schemes that can account for the large and fast-moving gradients moving through the modeled domain are necessary. We argue that this requires a physics based background model with a non-stationary covariance. An added benefit of using physics-based models would be improved forecasting capability over largely persistence-based forecasts of empirical models. As a reference implementation, we have developed an ensemble Kalman Filter (enKF) software called Thermosphere Ionosphere Data Assimilation (TIDA) using the physics-based Coupled Thermosphere Ionosphere Plasmasphere electrodynamics (CTIPe) model as the background. In this paper, we present detailed results from experiments during the 2003 Halloween Storm, 27–31 October 2003, under very disturbed (Kp= 9) conditions while assimilating GRACE-A and B, and CHAMP neutral density measurements. TIDA simulates this disturbed period without using the L1 solar wind measurements, which were contaminated by solar energetic protons, by estimating the model drivers from the density measurements. We also briefly present statistical results for two additional storms: September 27 – October 2, 2002, and July 26 – 30, 2004, to show that the improvement in assimilated neutral density specification is not an artifact of the corrupted forcing observations during the 2003 Halloween Storm. By showing statistical results from assimilating one satellite at a time, we show that TIDA produces a coherent global specification for neutral density throughout the storm – a critical capability in calculating satellite drag and debris collision avoidance for space traffic management.