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

Uzay havasına maruziyet endeksi

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

Belirsizlik

1,000 draws

normalisation, weights, aggregation

Yapı

2 components

6 leaf indicators

Kapsam

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
01İnşaat

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
Grafik
01Göstergeler
02Sub-indices
03Domain index
04Sütun
05Bileşik
100%
Dizin
  1. 100 yıllık tekerrür süresinde jeoelektrik alan genliği
    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. GNSS'ye bağımlı faaliyetlerdeki GSYH, pay
    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. Yedeği olmadan uydulara dayanan kritik hizmetler, pay
    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. Yüksek jeoelektrik tehlike bölgelerindeki yüksek gerilim şebekesi, pay
    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. Uzay havasına maruziyet endeksi
    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. Tehlike ve tehdit maruziyeti
    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
ÇalıştırılmadıSürüyorTamamlandı
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.
02Simülatör

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
–
tarayıcınızda çalışır
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.
03Yöntem

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
Belirsizlik
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
Çok düşük0.0 ile < 2.0 arası
Düşük2.0 ile < 3.5 arası
Orta3.5 ile < 5.0 arası
Yüksek5.0 ile < 6.5 arası
Çok yüksek6.5 ile 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.

GöstergeBirimKanıtKaynaklarPay
100 yıllık tekerrür süresinde jeoelektrik alan genliğiIND.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.

GöstergeBirimKanıtKaynaklarPay
GNSS'ye bağımlı faaliyetlerdeki GSYH, payIND.SPC.dependence.gnss_dependent_gdp.share%Class Enexus-gnss-dependence-model, national-accounts-value-added, euspa-market-report33.3%
Yedeği olmadan uydulara dayanan kritik hizmetler, payIND.SPC.dependence.satellite_service_exposure.share%Class Enexus-expert-assessment, itu-space-services-filings33.3%
Yüksek jeoelektrik tehlike bölgelerindeki yüksek gerilim şebekesi, payIND.SPC.dependence.grid_gic_exposure.share%Class Dosm-power-grid, derived:nis:IND.SPC.weather.geoelectric_field_rp10033.3%
05Alan

Space environment

Space weather and the exposure of space-dependent services.

Sub-domainGöstergeler
Uzay havası3
Space-service dependence3

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

06Göstergeler

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.
GöstergeAlanSub-domainBileşenBirimDüzeylerCrosswalks
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_daysSPCUzay havasıhazardd/aGLOBALUNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo
100 yıllık tekerrür süresinde jeoelektrik alan genliğiIND.SPC.weather.geoelectric_field_rp100SPCUzay havasıhazardV/kmCOUNTRY, ADM1, GRID
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_daysSPCUzay havasıhazardd/aGLOBALUNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene
GNSS'ye bağımlı faaliyetlerdeki GSYH, payIND.SPC.dependence.gnss_dependent_gdp.shareSPCSpace-service dependencemaruziyet%COUNTRY, PORTFOLIOUNDRR_HIPS_2025 ET0102
Yedeği olmadan uydulara dayanan kritik hizmetler, payIND.SPC.dependence.satellite_service_exposure.shareSPCSpace-service dependencevulnerability%COUNTRY
Yüksek jeoelektrik tehlike bölgelerindeki yüksek gerilim şebekesi, payIND.SPC.dependence.grid_gic_exposure.shareSPCSpace-service dependencemaruziyet%COUNTRY, ADM1
07Gösterge değeri

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
–
Değerler baskıyla yayımlanır; aralık, sınıf ve değişim burada görünür.
Önceki baskı
–
Range since 2016
–
Bağlantılı bileşik
–
Bağlantı puanı S
–
Pulse, son hafta
–
Outlook, 12 months
–
Yöntem
Indicator Standard 1.0 · NXS-GRX 2026
Çekilişler
1,000
Space-weather exposure index, world, by edition

Henüz yayımlanmış değer yok. İlk baskı, geçmişi burada aralık bandı ve sınıf sınırlarıyla çizer.

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.
Henüz değişiklik yok. Önceki sürümden bu yana olan değişiklikler, ikinci sürümden itibaren bunlara yol açan göstergelerle birlikte burada listelenir.
08Değerler

Country values

FIG 5 · Space-weather exposure index: countries (values when released)
Harita yükleniyor
AndorraAntigua ve BarbudaBahreynBarbadosKomorlarYeşil Burun AdalarıDominikaMikronezyaGrenadaKiribatiSaint Kitts ve NevisSaint LuciaLihtenştaynMonakoMaldivlerMarshall AdalarıMaltaMauritiusNauruPalauSingapurSan MarinoSão Tomé ve PríncipeSeyşellerTongaTuvaluVatikanSaint Vincent ve GrenadinlerSamoa
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.
Döşemeler
/api/v1/public/grix/risk-products/tiles/spc/{z}/{x}/{y}.mvt
Gözlem anahtarı
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
11Nexus genelinde

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.

12Atıf

Atıf ve yeniden kullanım

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.