Skip to content
Foundry
Global Risks Index
The Global Risks Index · GRX-IDX-SPC · HTE Hazard and threat exposure

空间天气暴露指数

0–10 index of space-weather exposure as the product of the space-weather hazard and space-service dependence sub-indices; mostly modelled and expert inputs, so its grade is capped.

Construction Simulator Indicators
Page GRX-IDX-SPCEdition Baseline Edition 2026Evidence close 2026-09-30Indicator Standard IDX.SPC.weather.space_weather_exposureValues not yet publishedMethod v1.0.0-draft
FIG 1 · Method card
Aggregation

product

equal weights · floor 0.1 where geometric

不确定性

1,000 draws

normalisation, weights, aggregation

结构

2 components

6 leaf indicators

覆盖范围

67% minimum

modelled share ≤ 20%

From the Indicator Standard definition of this index.
6
leaf indicators
2
components
1,000
Monte Carlo draws
5
series read it
01Construction

From indicators to the composite

A first-order view of where severe space weather would disrupt the most; a screening measure pending observed impact data.

computation
How Space-weather exposure is computed
Graph11 nodes
流程图
01指标
02Sub-indices
03Domain index
04支柱
05综合
100%
索引
  1. 100 年一遇地电场振幅
    Indicator · IND · V/km
    Modelled peak horizontal geoelectric field at the surface for a 1-in-100-year geomagnetic storm, combining geomagnetic latitude, storm-time magnetic field variation and regional ground conductivity, in volts per kilometre.
  2. Severe geomagnetic storm days per year
    Indicator · IND · d/a
    Average annual number of days on which planetary geomagnetic activity reaches NOAA G4 (severe) or G5 (extreme), that is Kp of 8- or more, averaged over the latest two full solar cycles.
  3. Strong solar radiation storm days per year
    Indicator · IND · d/a
    Average annual number of days with energetic proton flux at NOAA S3 (strong) or above, averaged over the latest two full solar cycles.
  4. 依赖 GNSS 的活动所产生的 GDP 占比
    Indicator · IND · %
    Share of GDP generated by activities that cannot operate normally without satellite positioning, navigation or timing (logistics, aviation, maritime, precision agriculture, telecom and financial timing), from a dependence mapping of sector value added; target-only, model-based.
  5. 依赖卫星且无备份的关键服务占比
    Indicator · IND · %
    Share of assessed critical service functions (communications to remote areas, broadcast, maritime and aviation safety, Earth observation for warning, timing) that rely on satellite links without a tested terrestrial fallback; expert-assessed.
  6. 位于高地电危害区的高压电网占比
    Indicator · IND · %
    Share of transmission line length at 220 kV or above lying where the 100-year geoelectric field exceeds 2 V/km; modelled from grid topology and geoelectric hazard maps.
  7. Space-weather hazard sub-index
    Sub-index · SUB · w 1 · 50.0%
    Composite of the local 100-year geoelectric field with the global frequency of severe geomagnetic and strong radiation storms.
  8. Space-service dependence sub-index
    Sub-index · SUB · w 1 · 50.0%
    Composite of GNSS-dependent GDP share, satellite-reliant critical services without backup and high-voltage grid in high geoelectric hazard zones.
  9. 空间天气暴露指数
    Domain index · IDX · product
    0–10 index of space-weather exposure as the product of the space-weather hazard and space-service dependence sub-indices; mostly modelled and expert inputs, so its grade is capped.
  10. 危害与威胁暴露
    Pillar · PILLAR · 5 indices
    What can strike, how often, how hard and who and what stands in its way?
  11. NXS-GRX (canonical data, provenance and risk) Composite Risk
    Composite · COMPOSITE · four pillars
    Composite = (HTE × VUL × MSF × LCC)^(1/4), each pillar on 0–10 floored at 0.1; pillar = expert-weighted geometric mean of its domain indices
未运行进行中已完成
FIG 2. 6 indicators, 2 components, real Indicator Standard weights (the bar under each node is its share). Select a node to trace what it feeds and what feeds it; Simulate run plays the computation in order. Schematic of the construction; source: Indicator Standard composite definitions.
02Simulator

Run this index’s own aggregation

Set each component, change the aggregation or the weight uncertainty, and watch the interval, the class probability and each component’s contribution respond.

FIG 3 · Simulator: aggregate space-weather exposure on your numbers
Components (0 to 10)
3.0
5.0
25
1
–
在您的浏览器中运行
Contribution of each component (leave one out)
Simulator: the index’s published aggregation run on numbers you set, with 1,000 draws over weights and aggregation. The slider positions are starting points for the explainer, not NXS-GRX values. Simulated on your own inputs; not a measured result.
03方法

Treatment, normalisation, weighting, aggregation, uncertainty

Treatment
WINSORISE
Outlier rule
|skew| > 2, kurtosis > 3.5
Normalisation
min–max rescaling
Imputation
NONE
Coverage minimum
67% of components
Modelled share cap
20% of weight
Weighting
equal
Aggregation
product
Scale
0 to 10
不确定性
1,000 Monte Carlo runs over normalisation, weights, aggregation
Framework basis
IPCC AR6 risk framing (hazard x exposure); NOAA SWPC space weather scales; Hazard Standard space domain
很低0.0 至 < 2.0
低2.0 至 < 3.5
中3.5 至 < 5.0
高5.0 至 < 6.5
很高6.5 至 10.0
04Components

2 components, 6 indicators

Space-weather hazard sub-index w 1

Composite of the local 100-year geoelectric field with the global frequency of severe geomagnetic and strong radiation storms.

指标单位证据来源占比
100 年一遇地电场振幅IND.SPC.weather.geoelectric_field_rp100V/kmClass Dusgs-geoelectric-hazard, bgs-geoelectric-models, nexus-gic-model50.0%
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_daysd/aClass Agfz-kp-index, noaa-swpc25.0%
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_daysd/aClass Anoaa-swpc, goes-energetic-particles25.0%

Space-service dependence sub-index w 1

Composite of GNSS-dependent GDP share, satellite-reliant critical services without backup and high-voltage grid in high geoelectric hazard zones.

指标单位证据来源占比
依赖 GNSS 的活动所产生的 GDP 占比IND.SPC.dependence.gnss_dependent_gdp.share%Class Enexus-gnss-dependence-model, national-accounts-value-added, euspa-market-report33.3%
依赖卫星且无备份的关键服务占比IND.SPC.dependence.satellite_service_exposure.share%Class Enexus-expert-assessment, itu-space-services-filings33.3%
位于高地电危害区的高压电网占比IND.SPC.dependence.grid_gic_exposure.share%Class Dosm-power-grid, derived:nis:IND.SPC.weather.geoelectric_field_rp10033.3%
05领域

Space environment

Space weather and the exposure of space-dependent services.

Sub-domain指标
空间天气3
Space-service dependence3

Anchor frameworks (pillar structure and definitions only): Hazard Standard space domain; NOAA SWPC scales.

06指标

All 6 space environment indicators

FIG 4 · Indicators in scope, by domain and sub-domain
SPC · 6
Area is the number of indicator definitions; colour is the pillar the domain feeds (Macroeconomy and Space feed through their indices). Select a block to filter the table. Source: Indicator Standard Nexus Indicator Standard register.
指标领域Sub-domain组件单位级别Crosswalks
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_daysSPC空间天气hazardd/aGLOBALUNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo
100 年一遇地电场振幅IND.SPC.weather.geoelectric_field_rp100SPC空间天气hazardV/kmCOUNTRY, ADM1, GRID
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_daysSPC空间天气hazardd/aGLOBALUNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene
依赖 GNSS 的活动所产生的 GDP 占比IND.SPC.dependence.gnss_dependent_gdp.shareSPCSpace-service dependenceexposure%COUNTRY, PORTFOLIOUNDRR_HIPS_2025 ET0102
依赖卫星且无备份的关键服务占比IND.SPC.dependence.satellite_service_exposure.shareSPCSpace-service dependencevulnerability%COUNTRY
位于高地电危害区的高压电网占比IND.SPC.dependence.grid_gic_exposure.shareSPCSpace-service dependenceexposure%COUNTRY, ADM1
07引用

Space-weather exposure index, world

The world reading of this index, every country as a tile and the largest movements since the previous edition.

NXS-GRX · SPC · 195 profiles · 0–10 scale
Space-weather exposure index, world
–
数值随版本发布；区间、类别和变化将显示在这里。
上一版
–
Range since 2016
–
耦合综合
–
耦合得分 S
–
脉搏，最近一周
–
Outlook, 12 months
–
方法
Indicator Standard 1.0 · NXS-GRX 2026
抽样次数
1,000
Space-weather exposure index, world, by edition

尚无已发布的数值。第一版发布后将在这里绘制历史，并附区间带和类别边界。

The line is the point value by edition; the band is the 90% interval; dashed lines are the class bounds at 2, 3.5, 5 and 6.5.
非洲54
DZA AGO BEN BWA BFA BDI CPV CMR CAF TCD COM COG CIV COD DJI EGY GNQ ERI SWZ ETH GAB GMB GHA GIN GNB KEN LSO LBR LBY MDG MWI MLI MRT MUS MAR MOZ NAM NER NGA RWA STP SEN SYC SLE SOM ZAF SSD SDN TGO TUN UGA TZA ZMB ZWE
美洲35
ATG ARG BHS BRB BLZ BOL BRA CAN CHL COL CRI CUB DMA DOM ECU SLV GRD GTM GUY HTI HND JAM MEX NIC PAN PRY PER KNA LCA VCT SUR TTO USA URY VEN
亚洲48
AFG ARM AZE BHR BGD BTN BRN KHM CHN CYP PRK GEO IND IDN IRN IRQ ISR JPN JOR KAZ KWT KGZ LAO LBN MYS MDV MNG MMR NPL OMN PAK PHL QAT KOR SAU SGP LKA PSE SYR TJK THA TLS TUR TKM ARE UZB VNM YEM
欧洲44
ALB AND AUT BLR BEL BIH BGR HRV CZE DNK EST FIN FRA DEU GRC VAT HUN ISL IRL ITA LVA LIE LTU LUX MLT MCO MNE NLD MKD NOR POL PRT MDA ROU RUS SMR SRB SVK SVN ESP SWE CHE UKR GBR
大洋洲14
AUS FJI KIR MHL FSM NRU NZL PLW PNG WSM SLB TON TUV VUT
暂无变动。 自第二版起，与上一版相比的变化将在此列出，并附上驱动这些变化的指标。
08数值

Country values

FIG 5 · Space-weather exposure index: countries (values when released)
正在加载地图
安道尔安提瓜和巴布达巴林巴巴多斯科摩罗佛得角多米尼克密克罗尼西亚（联邦）格林纳达基里巴斯圣基茨和尼维斯圣卢西亚列支敦士登摩纳哥马尔代夫马绍尔群岛马耳他毛里求斯瑙鲁帕劳新加坡圣马力诺圣多美和普林西比塞舌尔汤加图瓦卢教廷圣文森特和格林纳丁斯萨摩亚
Equal Earth · Natural Earth 1:110mValues when released
Until the first edition is released the map shows UN M49 regions or the Nexus Reports edition; it then shows this index’s classes with each country’s interval on hover. Countries are listed by name, never ordered by value.
瓦片
/api/v1/public/grix/risk-products/tiles/spc/{z}/{x}/{y}.mvt
观测键
nis:IDX.SPC.weather.space_weather_exposure:{ISO3}:{YEAR}:A
09系列

Series that read this index

GLBGlobal SystemsThe state of interdependent global risk: the twenty domain indices aggregated to the world, the five core systems (water, energy, food, health, biodiversity) and their couplings, the global tail register and the gap between perceived and measured risk. GS-12Global Earth observationWhat Earth observation can and cannot see of risk: coverage, revisit, latency and the observing systems behind NXS-GRX. SR-14Global catastrophic and tail riskLow-probability, high-impact and global catastrophic risks: severe space weather, super-eruptions, engineered and natural pandemics, nuclear and frontier-technology failure modes, compound collapses. XT-07Earth observation and space systemsDependency on satellites for navigation, communications and observation; orbital congestion, debris and space-weather exposure. XT-12Positioning, navigation and timingDependency of power, telecom, finance and transport on positioning and timing signals; jamming, spoofing and space weather.
10Validity

Crosswalks and validity checks

Crosswalks map leaf indicators to source code lists; established indices are used for validity checks, never re-weighted as inputs.

Code systemLeaf indicators mapped
UNDRR_HIPS_20253
EMDAT2
11贯穿 Nexus

Platforms, standards and ways to take part

Field and service platforms of GCRI, GRF and GRA, the Nexus Risk Standards for this domain, learning, working groups and open calls. Every link is a live page.

12引用

引用与再利用

GCRI Canada (2026). The Global Risks Index (NXS-GRX): Space-weather exposure index (GRX-IDX-SPC), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/indices/space-weather-exposure/ UNI NXS-GRX-AR-000129.

See this index in every country profile

Each profile shows this index with its interval and class once released.

Country profiles All indices

状态

The Global Risks Index 的方法、结构和定义为预备性工作草案（2026），供审阅和评论，不供实施。在从受治理的证据截取中发布版本之前，不会出现任何数值；届时数值将附有区间、类别、来源及其更正途径。模拟器以您选择的数字运行已发布的方法，绝不显示 NXS-GRX 数值。

NXS-GRX 不是什么

NXS-GRX 是研究和风险分析信息。它不是信用评级或 ESG 评级，不使用任何评级尺度；它不是金融工具的基准，不是官方统计，不是紧急警报或官方分类，也不是建议。不得用于评估自然人。风险等级是已发布尺度上的区间，绝不是对国家或个人的排名。

机构与来源

The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.

每个数值均附有其来源的署名，这些来源保留各自的许可。外部名称仅为互操作性而引用。Nexus 撰写的文本拟在发布时采用 CC BY 4.0。

Avis en français

La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.