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Harnessing mega-constellations to probe space weather globally

Harnessing mega-constellations to probe space weather globally
利用巨型星座探测全球空间天气
批准号:
MR/X034704/1
负责人:
Martin Archer
金额:
$162.51万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --

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中文摘要
翻译
近地空间条件的变化导致了空间天气。这通过我们所依赖的技术给我们的日常生活带来了风险。空间天气对关键的电力、通信、导航和运输系统产生影响。因此,监测和预报它是至关重要的。推动全球空间天气的过程还没有被很好地理解。地球磁场和从太阳吹来的带电粒子之间的相互作用在太空中形成了一个保护罩,称为磁层。太空天气的出现是因为这个护盾既不完美也不是静止的。能量穿透我们的磁层,并分布到磁层内的不同区域。但全球的反应大于各部分的总和。仅靠当地进程不能解释整体反应。相反,空间天气现象似乎是从复杂的系统本身产生的。为了更好地理解太空天气的原因,需要一个全球性的方法。需要大量的卫星协同工作,也就是所谓的星座。通过传统的太空任务实现这一目标的成本太高了。卫星运营商现在正在推出用于通信服务的商业巨型星座。这些卫星由数百到数千颗在近地轨道上的卫星组成。这个轨道位于大气层顶部和磁层之间的交界处。太空天气如何在这些地区之间发挥中介作用仍然是一个悬而未决的问题。因此,巨型星座非常适合空间天气监测。这些卫星使用对地球磁场的测量来定位自己。但这些仪器也可以探测到太空天气的信号。因此,这项研究将利用巨型星座作为监测空间天气的工具。巨型星座在空间中提供空前数量的全球分布的观测点。我将开发新的处理工具来使用这些数据。这些将提取和分解调节太空天气的不断变化的电流。计算机模拟将测试可实现的极限。这些结果将为未来空间天气监测的巨型星座设计提供信息。机器学习还将应对在太空分析“大数据”的挑战。我将把从其他领域发展出来的方法用于空间气象科学。这将减少用于分析和识别现有模式的数据量。它们将在当前和即将到来的任务、设施和模拟中有广泛的应用。我已经与一家大型星座运营商合作,将这些方法付诸实践。这将建立目前巨型星座的空间气象能力。我将从这些数据中得出一个新的全球活动指数。这将消除当前使用的方法中的错误和偏差。一条实时产生这一指数的管道将产生新的太空天气警报。专门的活动还将进一步科学研究是什么驱动了太空天气。这与即将到来的太阳活动增加不谋而合。这些活动将重点关注在激烈的太空天气事件中出现的波。就像乐器一样,这些波是由它们的环境处理和引导的。这形成了一个复杂的管弦乐队,环绕着我们的星球。但我们不知道这首交响乐的全球性质及其在太空天气中的重要性。这个巨型星座最终将揭示不同海浪的结构。因此,我将确定它们对空间辐射、大气加热和地面电流的影响。这将增进我们对这些波如何影响空间天气的理解。这项研究将通过利用巨型星座来彻底改变空间天气监测。它将在能力上产生阶梯式的变化。全球数据将揭示太空天气的工作原理,提高我们预测太空天气的能力。因此,联谊会将增强我们减轻这一社会威胁的能力。
英文摘要
The changing conditions in near-Earth space cause space weather. This poses a risk to our everyday lives through the technology we rely upon. Space weather impacts on crucial power, communications, navigation, and transport systems. Monitoring and forecasting it is thus vital.The processes that drive space weather globally are not well understood. The interplay between Earth's magnetic field and charged particles blowing from the Sun forms a protective shield in space, known as the magnetosphere. Space weather occurs because this shield is neither perfect nor static. Energy penetrates our magnetosphere and gets distributed to different regions inside it. But the global response is greater than the sum of its parts. Local processes alone cannot explain the overall response. Instead, space weather phenomena appear to emerge from the complex system itself. To better understand what causes space weather requires a global approach.Large groups of satellites working together, known as constellations, are required. Achieving this through traditional space missions is too expensive. Satellite operators are now launching commercial mega-constellations for communications services. These consist of hundreds to thousands of satellites in low Earth orbit. This orbit is at the interface between the top of our atmosphere and the magnetosphere. How space weather is mediated between these regions is still an open question. So mega-constellations are perfectly placed for space weather monitoring. The satellites use measurements of Earth's magnetic field to orient themselves. But these instruments can detect the signatures of space weather also. This fellowship will thus harness mega-constellations as a tool for monitoring space weather.Mega-constellations provide an unprecedented number of globally distributed observation points in space. I will develop new processing tools to use this data. These will extract and resolve the ever-changing electrical currents mediating space weather. Computer simulations will test the limits of what is achievable. These results will inform requirements on future mega-constellation designs for space weather monitoring. Machine learning will also combat the challenges of analysing "big data" in space. I will adapt methods developed from other fields for use in space weather science. These will reduce the amount of data to analyse and identify patterns present. They will have broad applications across current and upcoming missions, facilities, and simulations.I have partnered with a mega-constellation operator to put these methods into practice. This will establish the current space weather capabilities of mega-constellations. I will derive a new global activity index from this data. This will eliminate the errors and biases in those currently used. A pipeline producing this index in real-time will yield new space weather warnings.Dedicated campaigns will also further scientific research into what drives space weather. These coincide with the upcoming increase in solar activity. The campaigns will focus on waves that emerge during intense space weather events. Like a musical instrument, these waves are processed and guided by their environment. This forms a complex orchestra that encompasses our planet. But we do not know the global nature of this symphony and its importance in space weather. The mega-constellation will at last reveal the structure of the different waves. I will thus determine their effects on space radiation, atmospheric heating, and currents in the ground. This will advance our understanding of how these waves contribute to space weather.This fellowship will revolutionise space weather monitoring by harnessing mega-constellations. It will yield a step-change in capability. Global data will unveil how space weather works, improving our ability to predict it. The fellowship will thus boost our ability to mitigate this threat to society.
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