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

Indeks keterpaparan cuaca antariksa

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

Ketidakpastian

1,000 draws

normalisation, weights, aggregation

Struktur

2 components

6 leaf indicators

Cakupan

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
01Konstruksi

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
01Indikator
02Sub-indices
03Domain index
04Pilar
05Komposit
100%
Indeks
  1. Amplitudo medan geolistrik pada periode ulang 100 tahun
    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. PDB dalam kegiatan yang bergantung pada GNSS, porsi
    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. Layanan kritis yang bergantung pada satelit tanpa cadangan, porsi
    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. Jaringan tegangan tinggi di zona bahaya geolistrik tinggi, porsi
    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. Indeks keterpaparan cuaca antariksa
    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. Paparan bahaya dan ancaman
    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
Belum dijalankanSedang berjalanSelesai
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
–
berjalan di peramban Anda
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.
03Metode

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
Ketidakpastian
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
Sangat rendah0.0 hingga < 2.0
Rendah2.0 hingga < 3.5
Sedang3.5 hingga < 5.0
Tinggi5.0 hingga < 6.5
Sangat tinggi6.5 hingga 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.

IndikatorUnitBuktiSumberProporsi
Amplitudo medan geolistrik pada periode ulang 100 tahunIND.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.

IndikatorUnitBuktiSumberProporsi
PDB dalam kegiatan yang bergantung pada GNSS, porsiIND.SPC.dependence.gnss_dependent_gdp.share%Class Enexus-gnss-dependence-model, national-accounts-value-added, euspa-market-report33.3%
Layanan kritis yang bergantung pada satelit tanpa cadangan, porsiIND.SPC.dependence.satellite_service_exposure.share%Class Enexus-expert-assessment, itu-space-services-filings33.3%
Jaringan tegangan tinggi di zona bahaya geolistrik tinggi, porsiIND.SPC.dependence.grid_gic_exposure.share%Class Dosm-power-grid, derived:nis:IND.SPC.weather.geoelectric_field_rp10033.3%
05Domain

Space environment

Space weather and the exposure of space-dependent services.

Sub-domainIndikator
Cuaca antariksa3
Space-service dependence3

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

06Indikator

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.
IndikatorDomainSub-domainKomponenUnitTingkatCrosswalks
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_daysSPCCuaca antariksahazardd/aGLOBALUNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo
Amplitudo medan geolistrik pada periode ulang 100 tahunIND.SPC.weather.geoelectric_field_rp100SPCCuaca antariksahazardV/kmCOUNTRY, ADM1, GRID
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_daysSPCCuaca antariksahazardd/aGLOBALUNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene
PDB dalam kegiatan yang bergantung pada GNSS, porsiIND.SPC.dependence.gnss_dependent_gdp.shareSPCSpace-service dependenceketerpaparan%COUNTRY, PORTFOLIOUNDRR_HIPS_2025 ET0102
Layanan kritis yang bergantung pada satelit tanpa cadangan, porsiIND.SPC.dependence.satellite_service_exposure.shareSPCSpace-service dependencevulnerability%COUNTRY
Jaringan tegangan tinggi di zona bahaya geolistrik tinggi, porsiIND.SPC.dependence.grid_gic_exposure.shareSPCSpace-service dependenceketerpaparan%COUNTRY, ADM1
07Kuotasi

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
–
Nilai terbit bersama edisi; interval, kelas, dan perubahan muncul di sini.
Edisi sebelumnya
–
Range since 2016
–
Komposit terkait
–
Skor keterkaitan S
–
Pulse, minggu terakhir
–
Outlook, 12 months
–
Metode
Indicator Standard 1.0 · NXS-GRX 2026
Sampel
1,000
Space-weather exposure index, world, by edition

Belum ada nilai yang diterbitkan. Edisi pertama menggambar riwayat di sini dengan pita interval dan batas kelas.

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.
Belum ada pergerakan. Perubahan sejak edisi sebelumnya dicantumkan di sini mulai edisi kedua, beserta indikator yang mendorongnya.
08Nilai

Country values

FIG 5 · Space-weather exposure index: countries (values when released)
Memuat peta
AndorraAntigua dan BarbudaBahrainBarbadosKomoroTanjung VerdeDominikaMikronesiaGrenadaKiribatiSaint Kitts dan NevisSaint LuciaLiechtensteinMonakoMaladewaKepulauan MarshallMaltaMauritiusNauruPalauSingapuraSan MarinoSao Tome dan PrincipeSeychellesTongaTuvaluVatikanSaint Vincent dan GrenadineSamoa
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.
Ubin peta
/api/v1/public/grix/risk-products/tiles/spc/{z}/{x}/{y}.mvt
Kunci observasi
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
11Di seluruh 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.

12Kutip

Kutip dan gunakan kembali

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.