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

Index der Weltraumwetter-Exposition

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

Unsicherheit

1,000 draws

normalisation, weights, aggregation

Struktur

2 components

6 leaf indicators

Abdeckung

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
Graph
01Indikatoren
02Sub-indices
03Domain index
04Säule
05Zusammengesetzt
100%
Verzeichnis
  1. Amplitude des geoelektrischen Feldes bei einer Wiederkehrperiode von 100 Jahren
    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. BIP in GNSS-abhängigen Tätigkeiten, Anteil
    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. Kritische Dienste, die ohne Rückfallebene auf Satelliten angewiesen sind, Anteil
    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. Hochspannungsnetz in Zonen hoher geoelektrischer Gefahr, Anteil
    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. Index der Weltraumwetter-Exposition
    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. Gefährdungs- und Bedrohungsexposition
    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
Nicht ausgeführtIn BearbeitungErledigt
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
–
läuft in Ihrem Browser
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.
03Methode

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
Unsicherheit
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
Sehr niedrig0.0 bis < 2.0
Niedrig2.0 bis < 3.5
Mittel3.5 bis < 5.0
Hoch5.0 bis < 6.5
Sehr hoch6.5 bis 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.

IndikatorEinheitEvidenzQuellenAnteil
Amplitude des geoelektrischen Feldes bei einer Wiederkehrperiode von 100 JahrenIND.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.

IndikatorEinheitEvidenzQuellenAnteil
BIP in GNSS-abhängigen Tätigkeiten, AnteilIND.SPC.dependence.gnss_dependent_gdp.share%Class Enexus-gnss-dependence-model, national-accounts-value-added, euspa-market-report33.3%
Kritische Dienste, die ohne Rückfallebene auf Satelliten angewiesen sind, AnteilIND.SPC.dependence.satellite_service_exposure.share%Class Enexus-expert-assessment, itu-space-services-filings33.3%
Hochspannungsnetz in Zonen hoher geoelektrischer Gefahr, AnteilIND.SPC.dependence.grid_gic_exposure.share%Class Dosm-power-grid, derived:nis:IND.SPC.weather.geoelectric_field_rp10033.3%
05Domäne

Space environment

Space weather and the exposure of space-dependent services.

Sub-domainIndikatoren
Weltraumwetter3
Space-service dependence3

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

06Indikatoren

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.
IndikatorDomäneSub-domainKomponenteEinheitEbenenCrosswalks
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_daysSPCWeltraumwetterhazardd/aGLOBALUNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo
Amplitude des geoelektrischen Feldes bei einer Wiederkehrperiode von 100 JahrenIND.SPC.weather.geoelectric_field_rp100SPCWeltraumwetterhazardV/kmCOUNTRY, ADM1, GRID
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_daysSPCWeltraumwetterhazardd/aGLOBALUNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene
BIP in GNSS-abhängigen Tätigkeiten, AnteilIND.SPC.dependence.gnss_dependent_gdp.shareSPCSpace-service dependenceexposure%COUNTRY, PORTFOLIOUNDRR_HIPS_2025 ET0102
Kritische Dienste, die ohne Rückfallebene auf Satelliten angewiesen sind, AnteilIND.SPC.dependence.satellite_service_exposure.shareSPCSpace-service dependencevulnerability%COUNTRY
Hochspannungsnetz in Zonen hoher geoelektrischer Gefahr, AnteilIND.SPC.dependence.grid_gic_exposure.shareSPCSpace-service dependenceexposure%COUNTRY, ADM1
07Kennwert

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
–
Werte erscheinen mit der Ausgabe; Intervall, Klasse und Veränderung werden hier angezeigt.
Vorherige Ausgabe
–
Range since 2016
–
Gekoppeltes Gesamtmaß
–
Kopplungswert S
–
Pulse, letzte Woche
–
Outlook, 12 months
–
Methode
Indicator Standard 1.0 · NXS-GRX 2026
Ziehungen
1,000
Space-weather exposure index, world, by edition

Noch keine veröffentlichten Werte. Die erste Ausgabe zeichnet hier den Verlauf mit Intervallband und Klassengrenzen.

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.
Afrika54
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
Amerika35
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
Asien48
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
Europa44
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
Ozeanien14
AUS FJI KIR MHL FSM NRU NZL PLW PNG WSM SLB TON TUV VUT
Noch keine Veränderungen. Veränderungen gegenüber der vorherigen Ausgabe werden ab der zweiten Ausgabe hier aufgeführt, mit den Indikatoren, die sie bewirkt haben.
08Werte

Country values

FIG 5 · Space-weather exposure index: countries (values when released)
Karte wird geladen
AndorraAntigua und BarbudaBahrainBarbadosKomorenCabo VerdeDominicaMikronesien (Föderierte Staaten von)GrenadaKiribatiSt. Kitts und NevisSt. LuciaLiechtensteinMonacoMaledivenMarshallinselnMaltaMauritiusNauruPalauSingapurSan MarinoSão Tomé und PríncipeSeychellenTongaTuvaluHeiliger StuhlSt. Vincent und die GrenadinenSamoa
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.
Kacheln
/api/v1/public/grix/risk-products/tiles/spc/{z}/{x}/{y}.mvt
Beobachtungsschlüssel
nis:IDX.SPC.weather.space_weather_exposure:{ISO3}:{YEAR}:A
09Reihen

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
11Im gesamten 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.

12Zitieren

Zitieren und weiterverwenden

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

Status

Methodik, Struktur und Definitionen des Global Risks Index sind ein vorbereitender Arbeitsentwurf (2026), der zur Prüfung und Stellungnahme und nicht zur Umsetzung verbreitet wird. Kein Wert erscheint, bevor eine Ausgabe aus einem geregelten Evidenzschnitt veröffentlicht ist; die Werte tragen dann Intervalle, Klassen, Quellen und ihren Korrekturweg. Die Simulatoren wenden die veröffentlichten Methoden auf Zahlen an, die Sie wählen, und zeigen niemals einen NXS-GRX-Wert.

Was NXS-GRX nicht ist

NXS-GRX ist eine Forschungs- und Risikoanalyseinformation. Es ist kein Kredit- oder ESG-Rating und verwendet keine Ratingskala, kein Referenzwert für Finanzinstrumente, keine amtliche Statistik, keine Notfallwarnung oder amtliche Einstufung und keine Beratung. Es darf nicht zur Bewertung natürlicher Personen verwendet werden. Risikoklassen sind Bänder auf einer veröffentlichten Skala, niemals Rangfolgen von Ländern oder Personen.

Institutionen und Quellen

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.

Jeder Wert trägt die Namensnennung seiner Quellen, die ihre eigenen Lizenzen behalten. Externe Namen werden nur zur Interoperabilität zitiert. Von Nexus verfasste Texte sollen bei Veröffentlichung unter CC BY 4.0 stehen.

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.