Îndeksa rûbirûbûna hewaya fezayê
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.
product
equal weights · floor 0.1 where geometric
1,000 draws
normalisation, weights, aggregation
2 components
6 leaf indicators
67% minimum
modelled share ≤ 20%
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.
- Mezinahiya qada geoelektrîkî di heyama vegerê ya 100 salî deIndicator · IND · V/kmModelled 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.
- Severe geomagnetic storm days per yearIndicator · IND · d/aAverage 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.
- Strong solar radiation storm days per yearIndicator · IND · d/aAverage annual number of days with energetic proton flux at NOAA S3 (strong) or above, averaged over the latest two full solar cycles.
- GDP ya di çalakiyên girêdayî GNSS de, paraIndicator · 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.
- Xizmetên girîng ên bê paşgir bi satelaytan ve girêdayî, paraIndicator · 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.
- Tora voltaja bilind li herêmên bi metirsiya geoelektrîkî ya bilind, paraIndicator · 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.
- Space-weather hazard sub-indexSub-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.
- Space-service dependence sub-indexSub-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.
- Îndeksa rûbirûbûna hewaya fezayêDomain index · IDX · product0–10 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.
- Rûbirûbûna xeter û gefanPillar · PILLAR · 5 indicesWhat can strike, how often, how hard and who and what stands in its way?
- NXS-GRX (canonical data, provenance and risk) Composite RiskComposite · COMPOSITE · four pillarsComposite = (HTE × VUL × MSF × LCC)^(1/4), each pillar on 0–10 floored at 0.1; pillar = expert-weighted geometric mean of its domain indices
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.
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
- Nediyarî
- 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
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.
| Nîşander | Yekîne | Delîl | Çavkanî | Par |
|---|---|---|---|---|
Mezinahiya qada geoelektrîkî di heyama vegerê ya 100 salî deIND.SPC.weather.geoelectric_field_rp100 | V/km | Class D | usgs-geoelectric-hazard, bgs-geoelectric-models, nexus-gic-model | 50.0% |
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_days | d/a | Class A | gfz-kp-index, noaa-swpc | 25.0% |
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_days | d/a | Class A | noaa-swpc, goes-energetic-particles | 25.0% |
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.
| Nîşander | Yekîne | Delîl | Çavkanî | Par |
|---|---|---|---|---|
GDP ya di çalakiyên girêdayî GNSS de, paraIND.SPC.dependence.gnss_dependent_gdp.share | % | Class E | nexus-gnss-dependence-model, national-accounts-value-added, euspa-market-report | 33.3% |
Xizmetên girîng ên bê paşgir bi satelaytan ve girêdayî, paraIND.SPC.dependence.satellite_service_exposure.share | % | Class E | nexus-expert-assessment, itu-space-services-filings | 33.3% |
Tora voltaja bilind li herêmên bi metirsiya geoelektrîkî ya bilind, paraIND.SPC.dependence.grid_gic_exposure.share | % | Class D | osm-power-grid, derived:nis:IND.SPC.weather.geoelectric_field_rp100 | 33.3% |
Space environment
Space weather and the exposure of space-dependent services.
| Sub-domain | Nîşander |
|---|---|
| Hewaya fezayê | 3 |
| Space-service dependence | 3 |
Anchor frameworks (pillar structure and definitions only): Hazard Standard space domain; NOAA SWPC scales.
All 6 space environment indicators
| Nîşander | Qad | Sub-domain | Component | Yekîne | Ast | Crosswalks |
|---|---|---|---|---|---|---|
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_days | SPC | Hewaya fezayê | hazard | d/a | GLOBAL | UNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo |
Mezinahiya qada geoelektrîkî di heyama vegerê ya 100 salî deIND.SPC.weather.geoelectric_field_rp100 | SPC | Hewaya fezayê | hazard | V/km | COUNTRY, ADM1, GRID | |
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_days | SPC | Hewaya fezayê | hazard | d/a | GLOBAL | UNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene |
GDP ya di çalakiyên girêdayî GNSS de, paraIND.SPC.dependence.gnss_dependent_gdp.share | SPC | Space-service dependence | exposure | % | COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
Xizmetên girîng ên bê paşgir bi satelaytan ve girêdayî, paraIND.SPC.dependence.satellite_service_exposure.share | SPC | Space-service dependence | vulnerability | % | COUNTRY | |
Tora voltaja bilind li herêmên bi metirsiya geoelektrîkî ya bilind, paraIND.SPC.dependence.grid_gic_exposure.share | SPC | Space-service dependence | exposure | % | COUNTRY, ADM1 |
Space-weather exposure index, world
The world reading of this index, every country as a tile and the largest movements since the previous edition.
- Previous edition
- –
- Range since 2016
- –
- Coupled composite
- –
- Coupling score S
- –
- Pulse, latest week
- –
- Outlook, 12 months
- –
- Rêbaz
- Indicator Standard 1.0 · NXS-GRX 2026
- Draws
- 1,000
No released values yet. The first edition draws the history here with its interval band and class bounds.
Country values
- Tiles
/api/v1/public/grix/risk-products/tiles/spc/{z}/{x}/{y}.mvt- Rêbera çavdêriyê
nis:IDX.SPC.weather.space_weather_exposure:{ISO3}:{YEAR}:A
Series that read this index
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 system | Leaf indicators mapped |
|---|---|
UNDRR_HIPS_2025 | 3 |
EMDAT | 2 |
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.
Jêgirtin û ji nû ve bikaranîn
See this index in every country profile
Each profile shows this index with its interval and class once released.
Rewş
Rêbaz, avahî û pênaseyên The Global Risks Index pêşnivîseke xebatê ya amadekar in (2026), ji bo nirxandin û şîroveyê tên belavkirin, ne ji bo bicîhanînê. Heta ku çapek ji birrîneke delîlan a birêvebirî neyê weşandin, tu nirx xuya nabe; piştre nirx navber, çîn, çavkanî û rêya xwe ya rastkirinê bi xwe re tînin. Simulator rêbazên weşandî li ser hejmarên ku tu hildibijêrî dixebitînin û qet nirxeke NXS-GRX nîşan nadin.
NXS-GRX çi nîne
NXS-GRX agahiya lêkolîn û analîza xetereyê ye. Ew ne nirxandina krediyê an ESG ye û tu pîvaneke pileyan bi kar nayîne, ne pîvana referansê ya amûrên darayî ye, ne statîstîkên fermî ye, ne hişyariya awarte an dabeşkirina fermî ye, û ne şîret e. Divê ji bo nirxandina kesên xwezayî neyê bikaranîn. Çînên xetereyê bendên li ser pîvaneke weşandî ne, qet ne rêzkirina welatan an mirovan in.
Sazî û çavkanî
Nexus Consortium ji aliyê sê saziyên ne-qezencî yên serbixwe ve tê parastin: Global Centre for Risk and Innovation (GCRI), bi rêya GCRI US li Waşington, DC û GCRI Canada li Ontarioyê, bi GCRI Canada wekî Saziya Pêşeng, Sekreteryaya Konsorsiyûmê û rêxistina peymanê ya pêşeng; Global Risks Forum (GRF); û Global Risks Alliance (GRA). Dabînkerên teknolojî, binesazî û xizmetê bi Konsorsiyûmê re ji dûr ve li gorî peymanên nivîskî dixebitin, wek her aliyekî din ê derve di modela giştî-taybet-gerstêrkê de, û di parastina wê de tu rola wan tune.
Her nirx navê çavkaniyên xwe bi xwe re tîne, ku lîsansên xwe diparêzin. Navên derveyî tenê ji bo hevxebitînê tên gotin. Nivîsên ku Nexus nivîsandine dema weşanê ji bo CC BY 4.0 tên armanckirin.
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.