空间天气预报不确定性对卫星会合评估的影响

Space Weather Pub Date : 2024-07-01 DOI:10.1029/2023sw003818
William E. Parker, M. Freeman, G. Chisham, Andrew Kavanagh, Peng Mun Siew, Victor Rodríguez-Fernández, Richard Linares
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引用次数: 1

摘要

由于地球轨道上的人为物体数量大幅增加,有必要为新的航天器开发卫星会合评估和避免碰撞的能力。由增强的地磁活动和太阳极紫外吸收驱动的热层中性质量密度变化是卫星传播误差的主要来源。这项工作研究了空间天气驱动预报的不确定性对卫星阻力和避免碰撞机动决策的影响。由于大多数实用空间天气驱动因素预报不提供不确定性评估,因此卫星运营商界只能对其用于执行卫星状态传播的预报模型的可信度做出危险的假设。为 F10.7 和 Kp 开发了基于气候持续性的预报模型。这些模型准确地捕捉到了相关驱动因素预报的异方差分布,有时甚至是高度非高斯不确定性分布。模拟了一组现实的卫星会合场景,以展示空间气象驱动因素预报的不确定性对碰撞概率和机动决策的影响。改进后的驱动因素预报,特别是 F10.7 的预报,被证明非常有用,可以在更长的准备时间内(在所研究的时期内长达 24 小时)做出持久的机动决策,尽管改进的程度取决于特定的相关会合情景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influences of Space Weather Forecasting Uncertainty on Satellite Conjunction Assessment
A significant increase in the number of anthropogenic objects in Earth orbit has necessitated the development of satellite conjunction assessment and collision avoidance capabilities for new spacecraft. Neutral mass density variability in the thermosphere, driven by enhanced geomagnetic activity and solar EUV absorption, is a major source of satellite propagation error. This work investigates the impacts of space weather driver forecasting uncertainty on satellite drag and collision avoidance maneuver decision‐making. Since most operational space weather driver forecasts do not offer an uncertainty assessment, the satellite operator community is left to make dangerous assumptions about the trustworthiness of the forecast models they use to perform satellite state propagation. Climatological persistence‐based forecast models are developed for F10.7 and Kp. These models accurately capture the heteroscedastic and, at times, highly non‐Gaussian uncertainty distribution on forecasts of the drivers of interest. A set of realistic satellite conjunction scenarios is simulated to demonstrate the contributions of space weather driver forecast uncertainty on the probability of collision and maneuver decisions. Improved driver forecasts, especially forecasts of F10.7, are demonstrated to be very useful for enabling durable maneuver decisions with additional lead time (up to 24 hr for the period examined), though the improvement depends on the specific conjunction scenario of interest.
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