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

अंतरिक्ष-मौसम जोखिम-संपर्क सूचकांक

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

अनिश्चितता

1,000 draws

normalisation, weights, aggregation

संरचना

2 components

6 leaf indicators

कवरेज

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
ग्राफ़
01संकेतक
02Sub-indices
03Domain index
04स्तंभ
05समग्र
100%
अनुक्रमणिका
  1. 100 वर्ष में एक बार की घटना पर भू-विद्युत क्षेत्र आयाम
    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-निर्भर गतिविधियों में GDP, हिस्सा
    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. बिना बैकअप के उपग्रहों पर निर्भर महत्वपूर्ण सेवाएँ, हिस्सा
    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. उच्च भू-विद्युत संकट क्षेत्रों में उच्च-वोल्टेज ग्रिड, हिस्सा
    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. अंतरिक्ष-मौसम जोखिम-संपर्क सूचकांक
    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. संकट और खतरे का जोखिम-संपर्क
    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
नहीं चलाया गयाप्रगति मेंपूर्ण
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
–
आपके ब्राउज़र में चलता है
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.
03पद्धति

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
अनिश्चितता
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
बहुत कम0.0 से < 2.0
कम2.0 से < 3.5
मध्यम3.5 से < 5.0
उच्च5.0 से < 6.5
बहुत उच्च6.5 से 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.

संकेतकइकाईसाक्ष्यस्रोतहिस्सा
100 वर्ष में एक बार की घटना पर भू-विद्युत क्षेत्र आयामIND.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.

संकेतकइकाईसाक्ष्यस्रोतहिस्सा
GNSS-निर्भर गतिविधियों में GDP, हिस्साIND.SPC.dependence.gnss_dependent_gdp.share%Class Enexus-gnss-dependence-model, national-accounts-value-added, euspa-market-report33.3%
बिना बैकअप के उपग्रहों पर निर्भर महत्वपूर्ण सेवाएँ, हिस्साIND.SPC.dependence.satellite_service_exposure.share%Class Enexus-expert-assessment, itu-space-services-filings33.3%
उच्च भू-विद्युत संकट क्षेत्रों में उच्च-वोल्टेज ग्रिड, हिस्साIND.SPC.dependence.grid_gic_exposure.share%Class Dosm-power-grid, derived:nis:IND.SPC.weather.geoelectric_field_rp10033.3%
05क्षेत्र

Space environment

Space weather and the exposure of space-dependent services.

Sub-domainसंकेतक
अंतरिक्ष मौसम3
Space-service dependence3

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

06संकेतक

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.
संकेतकक्षेत्रSub-domainघटकइकाईस्तरCrosswalks
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_daysSPCअंतरिक्ष मौसमhazardd/aGLOBALUNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo
100 वर्ष में एक बार की घटना पर भू-विद्युत क्षेत्र आयामIND.SPC.weather.geoelectric_field_rp100SPCअंतरिक्ष मौसमhazardV/kmCOUNTRY, ADM1, GRID
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_daysSPCअंतरिक्ष मौसमhazardd/aGLOBALUNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene
GNSS-निर्भर गतिविधियों में GDP, हिस्साIND.SPC.dependence.gnss_dependent_gdp.shareSPCSpace-service dependenceexposure%COUNTRY, PORTFOLIOUNDRR_HIPS_2025 ET0102
बिना बैकअप के उपग्रहों पर निर्भर महत्वपूर्ण सेवाएँ, हिस्साIND.SPC.dependence.satellite_service_exposure.shareSPCSpace-service dependencevulnerability%COUNTRY
उच्च भू-विद्युत संकट क्षेत्रों में उच्च-वोल्टेज ग्रिड, हिस्साIND.SPC.dependence.grid_gic_exposure.shareSPCSpace-service dependenceexposure%COUNTRY, ADM1
07उद्धरण

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
–
मान संस्करण के साथ प्रकाशित होते हैं; अंतराल, वर्ग और बदलाव यहाँ दिखते हैं।
पिछला संस्करण
–
Range since 2016
–
युग्मित समग्र
–
युग्मन अंक S
–
पल्स, नवीनतम सप्ताह
–
Outlook, 12 months
–
पद्धति
Indicator Standard 1.0 · NXS-GRX 2026
ड्रॉ
1,000
Space-weather exposure index, world, by edition

अभी कोई जारी मान नहीं। पहला संस्करण यहाँ अपने अंतराल पट्टी और वर्ग सीमाओं के साथ इतिहास खींचता है।

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.
अभी कोई परिवर्तन नहीं। पिछले संस्करण के बाद के परिवर्तन दूसरे संस्करण से यहाँ सूचीबद्ध होंगे, उन्हें प्रेरित करने वाले संकेतकों के साथ।
08मान

Country values

FIG 5 · Space-weather exposure index: countries (values when released)
मानचित्र लोड हो रहा है
एंडोराएंटिगुआ और बरबुडाबहरीनबारबाडोसकोमोरोसकाबो वर्डेडोमिनिकामाइक्रोनेशिया (संघीय राज्य)ग्रेनाडाकिरिबातीसेंट किट्स और नेविससेंट लूसियालिचेंस्टीनमोनाकोमालदीवमार्शल द्वीपसमूहमाल्टामॉरीशसनाउरुपलाऊसिंगापुरसैन मेरीनोसाओ टोमे और प्रिंसिपेसेशेल्सटोंगातुवालूहोली सीसेंट विंसेंट और ग्रेनाडाइंससमोआ
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.
टाइलें
/api/v1/public/grix/risk-products/tiles/spc/{z}/{x}/{y}.mvt
अवलोकन कुंजी
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 भर में

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.

12उद्धरण

उद्धरण और पुनः उपयोग

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.