Satellite Radiation Risk Forecasts (Sat-Risk)

卫星辐射风险预测（Sat-Risk）

• 批准号: NE/V002554/1
• 负责人: Jonathan Rae
• 金额: $ 45.28万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FV002554%2F1
• 关键词: Satellite; Radiation; Risk; Forecasts; Sat

Our society relies on satellites more than ever before, from the use of mobile phones to broadcasting and Earth observation. The use of GPS navigation, positioning and timing signals has grown considerably and we now use these signals in ways that were never foreseen, for example in agriculture and stock market trading. The modern world has also become more connected and built up dependencies that are no longer clearly identifiable. It is therefore essential that we take every reasonable precaution to ensure that satellites are protected.Space Weather poses one of the most important threats to satellites in orbit, primarily through radiation exposure. Radiation exposure can increase within a few minutes, by a ten thousand fold or more, and remain high for days, even months. For example, in 2003 during a large space weather event known as the Halloween storm radiation levels were highly disturbed and approximately 10% of the entire satellite fleet were affected by satellite anomalies (malfunctions) leading to service interruption and in one case the complete loss of a scientific satellite costing $640 million (Cannon et al., 2013). In 2012 the UK Government recognised the importance of space weather as a low frequency high impact event and included it on the National Risk Register (Cabinet Office, 2012). This was revised in 2017 with a recommendation for more investment into forecasting as a means of mitigating the impact. More recent research suggests that with current forecasting capability the loss of gross domestic product to the UK would be around £2.9 billion but with more investment in enhanced forecasting this could be reduced to £0.9 billion (Oughton et al., 2019). The purpose of this proposal is to provide enhanced forecasting to help reduce the impact on satellites. Currently there are over 2,200 operational satellites in orbit (December 2019).This proposal brings together scientists from across the UK with stakeholders from the UK Met Office. The goal is to develop a real-time system to forecast radiation exposure to satellites for a range of different orbits, and quantify the risk of damage or degradation. We will do this by taking research models of the Earth's radiation belts - regions of high energy electrons and protons trapped by the external geomagnetic field and which circulate around the Earth - and turn them into operational forecasting models. The models will use real-time data from ground and space to forecast radiation exposure up to 24 hours ahead for different orbits, including geostationary orbit, Low Earth orbit and medium Earth orbit. It will also include data on radiation storms and cosmic rays. The particle radiation levels will then be used to calculate the damaging radiation effects on electronic components and solar arrays and compared to design guidelines to assess the risk of damage. The project will also include four research elements which are specifically targeted at reducing the uncertainty in the forecasts. The project will deliver a world leading forecasting capability for the Met Office that will help satellite operators take mitigating action, help satellite designers develop more resilient design and space insurance reduce the risk of loss. It will also support the growth of the satellite industry and the UK National Risk Register.1. Cannon, P, S., et al. (2013), Extreme Space Weather: Impacts on Engineered Systems and Infrastructure, Royal Academy of Engineering, London, SW1A 2WH.2. Cabinet Office, (2012), National risk register of civil emergencies, Whitehall, London SW1A 2WH, www.cabinetoffice.gov.uk3. Oughton et al., (2019), A Risk Assessment Framework for the Socioeconomic Impacts of Electricity Transmission Infrastructure Failure Due to Space Weather: An Application to the United Kingdom, Risk Analysis, https://doi.org/10.1111/risa.13229

我们的社会比以往任何时候都更加依赖卫星，从使用移动电话到广播和对地观测。GPS导航、定位和定时信号的使用已经有了相当大的增长，我们现在以从未预见到的方式使用这些信号，例如在农业和股票市场交易中。现代世界也变得更加相互联系，并建立起不再明显可识别的依赖关系。因此，我们必须采取一切合理的预防措施，确保卫星受到保护。空间天气对在轨卫星构成最重要的威胁之一，主要是通过辐射暴露。辐射暴露可能在几分钟内增加，增加一万倍或更多，并在几天甚至几个月内保持高水平。例如，在2003年被称为万圣节风暴的大型空间天气事件期间，辐射水平受到高度干扰，整个卫星机队中约10%的卫星受到卫星异常(故障)的影响，导致服务中断，在一次情况下，一颗科学卫星完全损失，耗资6.4亿美元(Cannon等人，2013年)。2012年，英国政府认识到空间天气作为一种低频率高影响事件的重要性，并将其列入国家风险登记册(内阁府，2012年)。2017年对此进行了修订，建议加大对预测的投资，以此作为减轻影响的一种手段。最近的研究表明，以目前的预测能力，英国国内生产总值的损失约为29亿GB，但如果在加强预测方面投入更多资金，这一损失可能会减少到9亿GB(Oughton等人，2019年)。这项建议的目的是提供增强的预报，以帮助减少对卫星的影响。目前有超过2200颗正在运行的卫星在轨道上运行(2019年12月)。这项计划汇集了来自英国各地的科学家和英国气象局的利益相关者。其目标是开发一种实时系统，以预测一系列不同轨道的卫星辐射暴露，并量化损坏或退化的风险。我们将通过对地球辐射带的研究模型来实现这一点，辐射带是被外部地磁场捕获并在地球周围循环的高能电子和质子的区域，并将它们转化为可操作的预测模型。这些模型将使用来自地面和空间的实时数据，提前24小时预测不同轨道的辐射暴露，包括地球静止轨道、低地球轨道和中地球轨道。它还将包括辐射风暴和宇宙射线的数据。然后，粒子辐射水平将被用来计算对电子元件和太阳能电池板的破坏性辐射影响，并与设计指南进行比较，以评估损坏的风险。该项目还将包括四个专门针对减少预测不确定性的研究内容。该项目将为英国气象局提供世界领先的预测能力，帮助卫星运营商采取缓解措施，帮助卫星设计者开发更具弹性的设计，并为空间保险降低损失风险。它还将支持卫星产业和英国国家风险登记处的增长。坎农，P，S等人。(2013)，《极端空间天气：对工程系统和基础设施的影响》，伦敦皇家工程院，SW1A2WH.2。内阁府，(2012年)，国家突发公共事件风险登记册，白厅，伦敦SW1A2WH，www.Cabinetoffice.gov.uk3。Oghton等人，(2019年)，空间天气导致输电基础设施故障的社会经济影响风险评估框架：应用于英国，风险分析，https://doi.org/10.1111/risa.13229

项目成果

The Scalable Plasma Ion Composition and Electron Density (SPICED) Model for Earth's Inner Magnetosphere

地球内部磁层的可扩展等离子体离子成分和电子密度 (SPICED) 模型

• DOI: 10.1029/2021ja029565
• 发表时间: 2021
• 期刊: Space Physics
• 作者: James M

Modeling the Geomagnetic Response to the September 2017 Space Weather Event Over Fennoscandia Using the Space Weather Modeling Framework: Studying the Impacts of Spatial Resolution

使用空间天气模型框架对 2017 年 9 月 Fennoscandia 空间天气事件的地磁响应进行建模：研究空间分辨率的影响

• DOI: 10.1029/2020sw002683
• 发表时间: 2021
• 期刊: Space Weather
• 影响因子: 3.7
• 作者: Dimmock A

Using Dimensionality Reduction and Clustering Techniques to Classify Space Plasma Regimes

• DOI: 10.3389/fspas.2020.593516
• 发表时间: 2020-09
• 作者: M. Bakrania;I. J. Rae;A. Walsh;D. Verscharen;Andy W. Smith

Direct Evidence of Magnetic Reconnection Onset via the Tearing Instability

通过撕裂不稳定性磁重联开始的直接证据

• DOI: 10.3389/fspas.2022.869491
• 发表时间: 2022
• 期刊: Frontiers in Astronomy and Space Sciences
• 影响因子: 3
• 作者: Bakrania M

Modeling the Varying Location of Field Line Resonances During Geomagnetic Storms

• DOI: 10.1029/2021ja029804
• 发表时间: 2022-01
• 期刊: Journal of Geophysical Research: Space Physics
• 作者: T. Elsden;T. Yeoman;S. Wharton;I. J. Rae;J. Sandhu;M. Walach;M. K. James;D. Wright