Fahirisi ya mfiduo wa hali ya hewa ya anga
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.
- Geoelectric field amplitude at 100-year return periodIndicator · 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 in GNSS-dependent activities, shareIndicator · 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.
- Critical services relying on satellites without backup, shareIndicator · 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.
- High-voltage grid in high geoelectric hazard zones, shareIndicator · 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.
- Fahirisi ya mfiduo wa hali ya hewa ya angaDomain 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.
- Mfiduo wa hatari na vitishoPillar · 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
- Kutokuwa na uhakika
- 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.
| Indicator | Unit | Ushahidi | Vyanzo | Share |
|---|---|---|---|---|
Geoelectric field amplitude at 100-year return periodIND.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.
| Indicator | Unit | Ushahidi | Vyanzo | Share |
|---|---|---|---|---|
GDP in GNSS-dependent activities, shareIND.SPC.dependence.gnss_dependent_gdp.share | % | Class E | nexus-gnss-dependence-model, national-accounts-value-added, euspa-market-report | 33.3% |
Critical services relying on satellites without backup, shareIND.SPC.dependence.satellite_service_exposure.share | % | Class E | nexus-expert-assessment, itu-space-services-filings | 33.3% |
High-voltage grid in high geoelectric hazard zones, shareIND.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 | Viashiria |
|---|---|
| Hali ya anga ya anga za juu | 3 |
| Space-service dependence | 3 |
Anchor frameworks (pillar structure and definitions only): Hazard Standard space domain; NOAA SWPC scales.
All 6 space environment indicators
| Indicator | Domain | Sub-domain | Component | Unit | Ngazi | Crosswalks |
|---|---|---|---|---|---|---|
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_days | SPC | Hali ya anga ya anga za juu | hazard | d/a | GLOBAL | UNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo |
Geoelectric field amplitude at 100-year return periodIND.SPC.weather.geoelectric_field_rp100 | SPC | Hali ya anga ya anga za juu | hazard | V/km | COUNTRY, ADM1, GRID | |
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_days | SPC | Hali ya anga ya anga za juu | hazard | d/a | GLOBAL | UNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene |
GDP in GNSS-dependent activities, shareIND.SPC.dependence.gnss_dependent_gdp.share | SPC | Space-service dependence | exposure | % | COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
Critical services relying on satellites without backup, shareIND.SPC.dependence.satellite_service_exposure.share | SPC | Space-service dependence | vulnerability | % | COUNTRY | |
High-voltage grid in high geoelectric hazard zones, shareIND.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
- –
- Mbinu
- 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- Observation key
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.
Cite and reuse
See this index in every country profile
Each profile shows this index with its interval and class once released.
Hali
Mbinu, muundo na fasili za The Global Risks Index ni rasimu ya kazi ya maandalizi (2026), inayosambazwa kwa mapitio na maoni na si kwa utekelezaji. Hakuna thamani itakayoonekana hadi toleo litakapotolewa kutoka kato la ushahidi linalosimamiwa; kisha thamani zitakuwa na vipindi, madaraja, vyanzo na njia yake ya masahihisho. Viigaji huendesha mbinu zilizochapishwa kwa namba unazochagua na kamwe havionyeshi thamani ya NXS-GRX.
NXS-GRX si nini
NXS-GRX ni taarifa ya utafiti na uchambuzi wa hatari. Si daraja la mikopo wala la ESG na haitumii kipimo chochote cha daraja, si kigezo cha vyombo vya fedha, si takwimu rasmi, si onyo la dharura wala uainishaji rasmi, na si ushauri. Haipaswi kutumiwa kutathmini watu binafsi. Madaraja ya hatari ni mikanda kwenye kipimo kilichochapishwa, kamwe si mpangilio wa nchi au watu.
Taasisi na vyanzo
Nexus Consortium inasimamiwa na taasisi tatu huru zisizo za faida: The Global Centre for Risk and Innovation (GCRI), kupitia GCRI US huko Washington, DC na GCRI Canada huko Ontario, huku GCRI Canada ikiwa Taasisi Kiongozi, Sekretarieti ya Muungano na shirika kiongozi la mikataba; The Global Risks Forum (GRF); na The Global Risks Alliance (GRA). Watoa huduma za teknolojia, miundombinu na huduma hufanya kazi na Muungano kwa umbali chini ya makubaliano ya maandishi, kama kila mhusika mwingine wa nje katika muundo wa umma, sekta binafsi na sayari, na hawana jukumu lolote katika usimamizi wake.
Kila thamani ina utajo wa vyanzo vyake, ambavyo hubaki na leseni zao. Majina ya nje yanatajwa kwa ajili ya mwingiliano tu. Maandishi yaliyoandikwa na Nexus yanakusudiwa kuwa chini ya CC BY 4.0 yatakapotolewa.
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.