Statistical Models of the Variability of Ionospheric Plasma in the Topside Ionosphere: 2. Performance assessment

IF 3.4 2区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Journal of Space Weather and Space Climate Pub Date : 2024-01-12 DOI:10.1051/swsc/2024003
L. Spogli, Yaqi Jin, Jaroslav Urbar, Alan Wood, Elizabeth E. Donegan-Lawley, Lasse B. N. Clausen, Golnaz Shahtahmassebi, L. Alfonsi, James T. Rawlings, A. Cicone, Daria Kotova, C. Cesaroni, Per Hoeg, G. Dorrian, L. Nugent, S. Elvidge, D. Themens, María José Brazal Aragon, Pawel Wojtkiewicz, Wojciech J. Miloch
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Abstract

Statistical models of the variability of plasma in the topside ionosphere based on the Swarm data have been developed in the “Swarm Variability of Ionospheric Plasma” (Swarm-VIP) project within the European Space Agency's Swarm+4D-Ionosphere framework.. The models can predict the electron density, its gradients for three horizontal spatial scales – 20, 50 and 100 km – along the North-South direction and the level of the density fluctuations. Despite being developed by leveraging on Swarm data, the models provide predictions that are independent of these data, having a global coverage, fed by various parameters and proxies of the helio-geophysical conditions. Those features make the Swarm-VIP models useful for various purposes, which includes the possible support for already available ionospheric models and to proxy the effect of ionospheric irregularities of the medium scales that affect the signals emitted by Global Navigation Satellite Systems (GNSS). The formulation, optimisation and validation of the Swarm-VIP models are reported in Paper 1 (Wood et al., 2024). This paper describes the performance assessment of the models, by addressing their capability in reproducing the known climatological variability of the modelled quantities, and the ionospheric weather as depicted by ground-based GNSS, as a proxy for the ionospheric effect on GNSS signals. Additionally, we demonstrate that, under certain conditions, the model can better reproduce the ionospheric variability than a physics-based model, namely the Thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIE-GCM).
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电离层顶部等离子体可变性的统计模型:2.性能评估
欧洲空间局 Swarm+4D 电离层框架内的 "电离层等离子体 Swarm 可变性"(Swarm-VIP)项目根据 Swarm 数据开发了顶侧电离层等离子体可变性统计模型。这些模型可以预测电子密度、沿南北方向 20、50 和 100 公里三个水平空间尺度的电子密度梯度以及密度波动水平。尽管这些模型是利用 Swarm 数据开发的,但它们提供的预测结果独立于这些数据,覆盖全球范围,并由太阳地球物理条件的各种参数和代用指标提供。这些特点使得 Swarm-VIP 模型可用于各种目的,包括可能支持已有的电离层模型,以及替代影响全球导航卫星系统(GNSS)发射信号的中等尺度电离层不规则现象的影响。论文 1(Wood 等人,2024 年)报告了 Swarm-VIP 模型的制定、优化和验证。本文介绍了对模型的性能评估,探讨了模型在再现建模量的已知气候变异性方面的能力,以及地面全球导航卫星系统所描述的电离层天气,作为电离层对全球导航卫星系统信号影响的替代。此外,我们还证明,在某些条件下,该模型比基于物理学的模型,即热层-电离层-电动力学大气环流模型(TIE-GCM),能够更好地再现电离层的可变性。
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来源期刊
Journal of Space Weather and Space Climate
Journal of Space Weather and Space Climate ASTRONOMY & ASTROPHYSICS-GEOCHEMISTRY & GEOPHYSICS
CiteScore
6.90
自引率
6.10%
发文量
40
审稿时长
8 weeks
期刊介绍: The Journal of Space Weather and Space Climate (SWSC) is an international multi-disciplinary and interdisciplinary peer-reviewed open access journal which publishes papers on all aspects of space weather and space climate from a broad range of scientific and technical fields including solar physics, space plasma physics, aeronomy, planetology, radio science, geophysics, biology, medicine, astronautics, aeronautics, electrical engineering, meteorology, climatology, mathematics, economy, informatics.
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