根据技术相关指标验证电离层模型

IF 3.7 2区 地球科学
Space Weather Pub Date : 2023-12-15 DOI:10.1029/2023sw003590
A. T. Chartier, J. Steele, G. Sugar, D. R. Themens, S. K. Vines, J. D. Huba
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引用次数: 0

摘要

已开发出新的开放式工具,用于根据技术相关指标验证电离层模型。这些指标是电离层对全球定位系统三维定位、高频火腿无线电通信和峰值 F 区密度的误差。为了演示这些工具,我们使用了萨米是电离层的另一个模型(SAMI3)的输出,该模型由主动磁层和行星电动力学响应实验得出的高纬度电势驱动,覆盖了使用铱星-NEXT数据运行的第一个可用月份(2019年3月)。该模型的输出现在可通过 https://sami3.jhuapl.edu 进行可视化和下载。GPS 测试表明,SAMI3 将电离层对 3D 定位解决方案的误差从无模型时的 1.9 米减少到平均 1.6 米(最大误差:无修正时 14.2 米,有修正时 13.9 米)。SAMI3 预测了 55.5% 报告的 2-30 MHz 和 500-2,000 km 之间的业余无线电链路。经过自动缩放和机器学习 "净化 "的 Digisonde NmF2 数据表明,SAMI3 的正偏差中值为 1.0 × 1011 el. m3(相当于高估 27%)。NmF2 的正偏差在白天最大,这可能是白天预测高频链路性能相对较好的原因。这里使用的基础数据源和软件都是公开的,因此有兴趣的团体可以将这些测试应用于其他模型和时间间隔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validating Ionospheric Models Against Technologically Relevant Metrics
New, open access tools have been developed to validate ionospheric models in terms of technologically relevant metrics. These are ionospheric errors on GPS 3D position, HF ham radio communications, and peak F-region density. To demonstrate these tools, we have used output from Sami is Another Model of the Ionosphere (SAMI3) driven by high-latitude electric potentials derived from Active Magnetosphere and Planetary Electrodynamics Response Experiment, covering the first available month of operation using Iridium-NEXT data (March 2019). Output of this model is now available for visualization and download via https://sami3.jhuapl.edu. The GPS test indicates SAMI3 reduces ionospheric errors on 3D position solutions from 1.9 m with no model to 1.6 m on average (maximum error: 14.2 m without correction, 13.9 m with correction). SAMI3 predicts 55.5% of reported amateur radio links between 2–30 MHz and 500–2,000 km. Autoscaled and then machine learning “cleaned” Digisonde NmF2 data indicate a 1.0 × 1011 el. m3 median positive bias in SAMI3 (equivalent to a 27% overestimation). The positive NmF2 bias is largest during the daytime, which may explain the relatively good performance in predicting HF links then. The underlying data sources and software used here are publicly available, so that interested groups may apply these tests to other models and time intervals.
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29.70%
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