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

Índice de exposición a la meteorología espacial

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

Incertidumbre

1,000 draws

normalisation, weights, aggregation

Estructura

2 components

6 leaf indicators

Cobertura

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
Grafo
01Indicadores
02Sub-indices
03Domain index
04Pilar
05Compuesto
100%
Índice
  1. Amplitud del campo geoeléctrico con un periodo de retorno de 100 años
    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. PIB en actividades dependientes de GNSS, proporción
    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. Servicios críticos que dependen de satélites sin respaldo, proporción
    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. Red de alta tensión en zonas de alta amenaza geoeléctrica, proporción
    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. Índice de exposición a la meteorología espacial
    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. Exposición a amenazas
    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
Sin ejecutarEn cursoCompletado
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
–
se ejecuta en su navegador
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.
03Método

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
Incertidumbre
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
Muy bajo0,0 a < 2,0
Bajo2,0 a < 3,5
Medio3,5 a < 5,0
Alto5,0 a < 6,5
Muy alto6.5 a 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.

IndicadorUnidadEvidenciaFuentesProporción
Amplitud del campo geoeléctrico con un periodo de retorno de 100 añosIND.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.

IndicadorUnidadEvidenciaFuentesProporción
PIB en actividades dependientes de GNSS, proporciónIND.SPC.dependence.gnss_dependent_gdp.share%Class Enexus-gnss-dependence-model, national-accounts-value-added, euspa-market-report33.3%
Servicios críticos que dependen de satélites sin respaldo, proporciónIND.SPC.dependence.satellite_service_exposure.share%Class Enexus-expert-assessment, itu-space-services-filings33.3%
Red de alta tensión en zonas de alta amenaza geoeléctrica, proporciónIND.SPC.dependence.grid_gic_exposure.share%Class Dosm-power-grid, derived:nis:IND.SPC.weather.geoelectric_field_rp10033.3%
05Dominio

Space environment

Space weather and the exposure of space-dependent services.

Sub-domainIndicadores
Clima espacial3
Space-service dependence3

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

06Indicadores

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.
IndicadorDominioSub-domainComponenteUnidadNivelesCrosswalks
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_daysSPCClima espacialhazardd/aGLOBALUNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo
Amplitud del campo geoeléctrico con un periodo de retorno de 100 añosIND.SPC.weather.geoelectric_field_rp100SPCClima espacialhazardV/kmCOUNTRY, ADM1, GRID
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_daysSPCClima espacialhazardd/aGLOBALUNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene
PIB en actividades dependientes de GNSS, proporciónIND.SPC.dependence.gnss_dependent_gdp.shareSPCSpace-service dependenceexposure%COUNTRY, PORTFOLIOUNDRR_HIPS_2025 ET0102
Servicios críticos que dependen de satélites sin respaldo, proporciónIND.SPC.dependence.satellite_service_exposure.shareSPCSpace-service dependencevulnerability%COUNTRY
Red de alta tensión en zonas de alta amenaza geoeléctrica, proporciónIND.SPC.dependence.grid_gic_exposure.shareSPCSpace-service dependenceexposure%COUNTRY, ADM1
07Cita

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
–
Los valores se publican con la edición; el intervalo, la clase y la variación aparecen aquí.
Edición anterior
–
Range since 2016
–
Compuesto acoplado
–
Puntuación de acoplamiento S
–
Pulso, última semana
–
Outlook, 12 months
–
Método
Indicator Standard 1.0 · NXS-GRX 2026
Extracciones
1,000
Space-weather exposure index, world, by edition

Aún no hay valores publicados. La primera edición trazará aquí la serie histórica con su banda de intervalo y los límites de clase.

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.
Aún no hay movimientos. A partir de la segunda edición, aquí se enumeran los cambios respecto de la edición anterior, con los indicadores que los provocaron.
08Valores

Country values

FIG 5 · Space-weather exposure index: countries (values when released)
Cargando el mapa
AndorraAntigua y BarbudaBaréinBarbadosComorasCabo VerdeDominicaMicronesia (Estados Federados de)GranadaKiribatiSaint Kitts y NevisSanta LucíaLiechtensteinMónacoMaldivasIslas MarshallMaltaMauricioNauruPalaosSingapurSan MarinoSanto Tomé y PríncipeSeychellesTongaTuvaluSanta SedeSan Vicente y las GranadinasSamoa
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.
Teselas
/api/v1/public/grix/risk-products/tiles/spc/{z}/{x}/{y}.mvt
Clave de observación
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
11En todo el 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.

12Citar

Citar y reutilizar

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.