SWIMMR Aviation Risk Modelling (SWARM)

SWIMMR 航空风险建模 (SWARM)

基本信息

  • 批准号:
    NE/V002899/1
  • 负责人:
  • 金额:
    $ 142.7万
  • 依托单位:
  • 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

项目摘要

There is growing awareness of the hazards arising from space weather which are now listed on the UK National Risk Register. One significant risk is created by 'hard' solar particle events containing a significant flux of particles with energies greater than 300 MeV. In general such solar events are detectable at the Earth's surface by ground level neutron monitors and are termed ground level enhancements (GLEs) and typically have durations of some hours, the most intense so far measured being in February 1956 in the UK. GLEs present a hazard to modern complex systems, especially aircraft, as the particles generated in the atmosphere can cause malfunctions and damage to microelectronic technology. In addition undesirable levels of effective dose to aircrew and passengers can arise during GLEs. The International Civil Aviation Organization (ICAO) has recently identified the need to improve space weather radiation information provided to aircraft but to do so will require a widely distributed observational network, accompanied by validated radiation environment models to interpolate between observation sites and interpret the data into the effects of concern (effective dose rates and electronic upset rates). In parallel the Met Office, which is the UK government's 'owner' for space weather risks and a major provider of meteorological services for ICAO airlines, has recognised that it does not currently have the capability to provide the necessary services for space weather radiation hazards.Consequently SWARM will develop a new data-driven atmospheric radiation model (Model for Atmospheric Ionising Radiation Environments, or MAIRE+) based on an existing prototype (MAIRE) to enable the Met Office to nowcast the secondary particle fluxes, biological dose rates and electronic upset/failure rates throughout the atmosphere arising from both galactic cosmic rays and GLEs. To drive MAIRE+, real-time ground level neutron monitor data, geomagnetic disturbance indices and sunspot indices will be used. Global maps based on the ICAO global grid (15 degrees longitude, 10 degrees latitude) covering altitudes up to 60kft with 3kft altitude resolution will be provided. The dose rate maps will allow Met Office to issue alerts based on the ICAO thresholds for the affected regions. Internal models and tools will be revised to account for the most recent scientific knowledge, including updating cosmic ray and magnetic field models and improving calculations of biological dose and upset/failure rates in electronics. The new MAIRE+ model will be delivered to the Met Office and then a lengthy period of operation and validation will follow using live data sources to assess its performance. SWARM will also develop new and challenging capabilities such as increasing the model validity range to 100km altitude for GLEs (which will be important for future space tourism and high altitude aviation) and forecasting the time-profile of a GLE once it has started. For the latter, advanced models of interplanetary propagation of particles emitted from the Sun will be used and their particle energy range increased to deal with the energies required for GLEs. These new features will be incorporated into a 'research' model 'MAIRE-R' (also delivered to the Met office), however it will necessarily be less mature than the nowcast model. Finally, to address the extremely difficult problem of predicting the onset of a GLE, we will review the evidence from the historic record to determine if any solar precursor signatures for this sub-set of events can be found which could prove a valuable aid to Met Office forecasters.
人们日益认识到空间气象造成的危害,这些危害现已列入联合王国国家风险登记册。一个重大的风险是由包含能量大于300 MeV的粒子的显著通量的“硬”太阳粒子事件造成的。一般来说,这样的太阳事件可以在地球表面被地面中子监测器检测到,并被称为地面增强(GLE),通常持续数小时,迄今为止最强烈的测量是在1956年2月在英国。GLE对现代复杂系统,特别是飞机构成了危害,因为大气中产生的颗粒可能导致微电子技术故障和损坏。此外,在GLE期间,机组人员和乘客的有效剂量水平可能会出现不良水平。国际民用航空组织(民航组织)最近确定有必要改进向飞行器提供的空间气象辐射信息,但要做到这一点,就需要有一个分布广泛的观测网络,同时还要有经过验证的辐射环境模型,以便在观测地点之间进行插值,并将数据解释为令人关切的影响(有效剂量率和电子干扰率)。与此同时,英国气象局(英国政府空间天气风险的“所有者”,也是国际民航组织航空公司气象服务的主要提供者)认识到,它目前没有能力为空间天气辐射危害提供必要的服务。因此,SWARM将开发一个新的数据驱动大气辐射模型(大气电离辐射环境模型,或MAIRE+)的基础上,现有的原型(MAIRE),使气象局nowcast二次粒子通量,银河宇宙射线和GLE引起的整个大气层的生物剂量率和电子扰乱/故障率。为了推动MAIRE+,将使用实时地面中子监测数据、地磁扰动指数和太阳黑子指数。将提供基于国际民航组织全球网格(经度15度,纬度10度)的全球地图,覆盖高度达60千英尺,高度分辨率为3千英尺。剂量率地图将允许气象局根据受影响地区的ICAO阈值发布警报。将修订内部模型和工具,以考虑到最新的科学知识,包括更新宇宙射线和磁场模型,并改进生物剂量和电子产品干扰/故障率的计算。新的MAIRE+模型将交付给英国气象局,然后将使用实时数据源进行长时间的操作和验证,以评估其性能。SWARM还将开发新的和具有挑战性的能力,例如将GLE的模型有效范围增加到100公里高度(这对未来的太空旅游和高空航空很重要),并预测GLE一旦启动的时间分布。对于后者,将使用太阳发射粒子行星际传播的先进模型,并增加其粒子能量范围,以处理GLE所需的能量。这些新功能将被纳入一个“研究”模型“MAIRE-R”(也交付给气象局),但它必然不如即时预报模型成熟。最后,为了解决预测GLE开始的极端困难的问题,我们将审查历史记录中的证据,以确定是否可以找到这一子集事件的任何太阳前兆特征,这可能对气象局预报员提供有价值的帮助。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Signature and escape of highly fractionated plasma in an active region
活性区域中高度分级等离子体的特征和逃逸
Test particle simulations of SEPs originating from an expanding shock-like source
测试源自膨胀类激波源的 SEP 的粒子模拟
  • DOI:
    10.22323/1.395.1313
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hutchinson A
  • 通讯作者:
    Hutchinson A
The Merging of a Coronal Dimming and the Southern Polar Coronal Hole
  • DOI:
    10.3847/1538-4357/acd44e
  • 发表时间:
    2023-05
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nawin Ngampoopun;D. Long;D. Baker;L. Green;S. Yardley;A. James;A. To
  • 通讯作者:
    Nawin Ngampoopun;D. Long;D. Baker;L. Green;S. Yardley;A. James;A. To
A New Model for Nowcasting the Aviation Radiation Environment With Comparisons to In Situ Measurements During GLEs
临近预报航空辐射环境的新模型与 GLE 期间的现场测量进行比较
  • DOI:
    10.1029/2022sw003155
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Hands A
  • 通讯作者:
    Hands A
Solar energetic particle event onsets at different heliolongitudes: The effect of turbulence in Parker spiral geometry
  • DOI:
    10.1051/0004-6361/202346384
  • 发表时间:
    2023-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    T. Laitinen;S. Dalla;C. Waterfall;A. Institute;U. C. Lancashire;UK.
  • 通讯作者:
    T. Laitinen;S. Dalla;C. Waterfall;A. Institute;U. C. Lancashire;UK.
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Keith Andrew Ryden其他文献

Keith Andrew Ryden的其他文献

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{{ truncateString('Keith Andrew Ryden', 18)}}的其他基金

Spacecraft Charging Instrument Development
航天器充电仪器开发
  • 批准号:
    ST/Y004752/1
  • 财政年份:
    2023
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Research Grant
MOSAIC Digital Environment Feasibility Study
MOSAIC数字环境可行性研究
  • 批准号:
    NE/T005734/1
  • 财政年份:
    2019
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Research Grant
Single Event Effects in Ground Level Infrastructure
地面基础设施中的单粒子效应
  • 批准号:
    NE/R008930/1
  • 财政年份:
    2017
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Research Grant

相似海外基金

ERI: Towards Safe Aviation Autonomy: A Risk-bounded Planning Framework for Dynamical Systems under Uncertainties
ERI:迈向安全航空自主:不确定性下动态系统的风险有限规划框架
  • 批准号:
    2138612
  • 财政年份:
    2021
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Standard Grant
SWIMMR Aviation Risk Modelling (SWARM)
SWIMMR 航空风险建模 (SWARM)
  • 批准号:
    NE/V002619/1
  • 财政年份:
    2020
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Research Grant
SWIMMR Aviation Risk Modelling (SWARM)
SWIMMR 航空风险建模 (SWARM)
  • 批准号:
    NE/V002651/1
  • 财政年份:
    2020
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Research Grant
SWIMMR Aviation Risk Modelling (SWARM)
SWIMMR 航空风险建模 (SWARM)
  • 批准号:
    NE/V002864/1
  • 财政年份:
    2020
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Research Grant
Study of Risk-Sharing Contracts Mainly in the Field of Aviation
主要针对航空领域的风险分担合同研究
  • 批准号:
    16K03695
  • 财政年份:
    2016
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Research of Risk Allocation Mehanism/Contract in Aviation Sector
航空业风险分配机制/契约研究
  • 批准号:
    25518002
  • 财政年份:
    2013
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Improving Risk Assessment in Aviation: Information Seeking, Planning, and Judgment
改进航空风险评估:信息查找、规划和判断
  • 批准号:
    0819840
  • 财政年份:
    2008
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Standard Grant
Evaluation of a Fatigue Risk Management System in the Australian aviation industry
澳大利亚航空业疲劳风险管理系统评估
  • 批准号:
    LP0667769
  • 财政年份:
    2006
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Linkage Projects
Statistical Mining of Massive Data, Data Depth and Aviation Risk Management
海量数据统计挖掘、数据深度与航空风险管理
  • 批准号:
    0306008
  • 财政年份:
    2003
  • 资助金额:
    $ 142.7万
  • 项目类别:
    Continuing Grant
Fire Risk Assessment Associated with Aviation Operations in Antarctica
与南极洲航空运营相关的火灾风险评估
  • 批准号:
    0110244
  • 财政年份:
    2001
  • 资助金额:
    $ 142.7万
  • 项目类别:
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