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المؤشر العالمي للمخاطر (⁨Global Risks Index⁩)
The Global Risks Index · GRX-IDX-SPC · HTE Hazard and threat exposure

مؤشر التعرض لطقس الفضاء

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.

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

عدم اليقين

1,000 draws

normalisation, weights, aggregation

الهيكل

2 components

6 leaf indicators

التغطية

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
01التشييد

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
الرسم البياني
01المؤشرات الفرعية
02Sub-indices
03Domain index
04الركيزة
05المركب
100%
الفهرس
  1. سعة المجال الكهربائي الأرضي لفترة عودة 100 عام
    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. الناتج المحلي الإجمالي في الأنشطة المعتمدة على GNSS، النسبة
    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. الخدمات الحيوية المعتمدة على الأقمار الصناعية دون بديل احتياطي، النسبة
    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. شبكة الجهد العالي في المناطق شديدة الخطر الكهربائي الأرضي، النسبة
    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. مؤشر التعرض لطقس الفضاء
    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. التعرض للمخاطر الطبيعية والتهديدات
    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
لم يُشغَّلقيد التنفيذمكتمل
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.
02المحاكي

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
–
يعمل في متصفحك
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.
03المنهجية

Treatment, normalisation, weighting, aggregation, uncertainty

Treatment
WINSORISE
Outlier rule
|skew| > 2, kurtosis > 3.5
التطبيع
min–max rescaling
Imputation
NONE
Coverage minimum
67% of components
Modelled share cap
20% of weight
Weighting
equal
Aggregation
product
Scale
0 to 10
عدم اليقين
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
منخفض جدًامن 0.0 إلى أقل من 2.0
منخفضمن 2.0 إلى أقل من 3.5
متوسطمن 3.5 إلى أقل من 5.0
مرتفعمن 5.0 إلى أقل من 6.5
مرتفع جدًا6.5 إلى 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.

المؤشرالوحدةالأدلةالمصادرالحصة
سعة المجال الكهربائي الأرضي لفترة عودة 100 عامIND.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.

المؤشرالوحدةالأدلةالمصادرالحصة
الناتج المحلي الإجمالي في الأنشطة المعتمدة على GNSS، النسبةIND.SPC.dependence.gnss_dependent_gdp.share%Class Enexus-gnss-dependence-model, national-accounts-value-added, euspa-market-report33.3%
الخدمات الحيوية المعتمدة على الأقمار الصناعية دون بديل احتياطي، النسبةIND.SPC.dependence.satellite_service_exposure.share%Class Enexus-expert-assessment, itu-space-services-filings33.3%
شبكة الجهد العالي في المناطق شديدة الخطر الكهربائي الأرضي، النسبةIND.SPC.dependence.grid_gic_exposure.share%Class Dosm-power-grid, derived:nis:IND.SPC.weather.geoelectric_field_rp10033.3%
05المجال

Space environment

Space weather and the exposure of space-dependent services.

Sub-domainالمؤشرات الفرعية
طقس الفضاء3
Space-service dependence3

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

06المؤشرات الفرعية

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.
المؤشرالمجالSub-domainالمكوّنالوحدةالمستوياتCrosswalks
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_daysSPCطقس الفضاءhazardd/aGLOBALUNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo
سعة المجال الكهربائي الأرضي لفترة عودة 100 عامIND.SPC.weather.geoelectric_field_rp100SPCطقس الفضاءhazardV/kmCOUNTRY, ADM1, GRID
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_daysSPCطقس الفضاءhazardd/aGLOBALUNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene
الناتج المحلي الإجمالي في الأنشطة المعتمدة على GNSS، النسبةIND.SPC.dependence.gnss_dependent_gdp.shareSPCSpace-service dependenceالتعرض%COUNTRY, PORTFOLIOUNDRR_HIPS_2025 ET0102
الخدمات الحيوية المعتمدة على الأقمار الصناعية دون بديل احتياطي، النسبةIND.SPC.dependence.satellite_service_exposure.shareSPCSpace-service dependencevulnerability%COUNTRY
شبكة الجهد العالي في المناطق شديدة الخطر الكهربائي الأرضي، النسبةIND.SPC.dependence.grid_gic_exposure.shareSPCSpace-service dependenceالتعرض%COUNTRY, ADM1
07التسعير

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
–
تُنشر القيم مع الطبعة؛ وتظهر هنا الفترة والفئة والتغير.
الطبعة السابقة
–
Range since 2016
–
المركب المترابط
–
درجة الترابط S
–
Pulse، الأسبوع الأخير
–
Outlook, 12 months
–
المنهجية
Indicator Standard 1.0 · NXS-GRX 2026
السحوبات
1,000
Space-weather exposure index, world, by edition

لا قيم صادرة بعد. ترسم الطبعة الأولى السجل التاريخي هنا مع نطاق الفترة وحدود الفئات.

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.
لا تحركات حتى الآن. تُدرج هنا التغييرات منذ الإصدار السابق ابتداءً من الإصدار الثاني، مع المؤشرات التي أحدثتها.
08القيم

Country values

FIG 5 · Space-weather exposure index: countries (values when released)
جارٍ تحميل الخريطة
أندوراأنتيغوا وبربوداالبحرينبربادوسجزر القمركابو فيرديدومينيكاميكرونيزيا (ولايات - الموحدة)غريناداكيريباسسانت كيتس ونيفيسسانت لوسياليختنشتاينموناكوملديفجزر مارشالمالطةموريشيوسناوروبالاوسنغافورةسان مارينوسان تومي وبرينسيبيسيشيلتونغاتوفالوالكرسي الرسوليسانت فنسنت وجزر غرينادينساموا
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.
البلاطات
/api/v1/public/grix/risk-products/tiles/spc/{z}/{x}/{y}.mvt
مفتاح الرصد
nis:IDX.SPC.weather.space_weather_exposure:{ISO3}:{YEAR}:A
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
11عبر 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.

12استشهد

الاستشهاد وإعادة الاستخدام

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.