Skip to content

Foundry

Der Global Risks Index

The Global Risks Index · XT-18 · Exponential technology series

Technologien zur Klimaintervention

Kohlenstoffentnahme und vorgeschlagene Klimaeingriffe: physische, Governance- und Abbruchrisiken, nur aus veröffentlichten Bewertungen gelesen.

Construction Indicators Pathways
Page GRX-SER-XT-18Edition Baseline Edition 2026Evidence close 2026-09-30Subject NXS-GRX (canonical data, provenance and risk) proposedNexus Reports XT-18 (planned)Values not yet publishedMethod v1.0.0-draft
FIG 1 · Series at a glance
Domänenindizes

5

Climate physical hazard · Climate transition exposure · Environmental pressure · Governance weakness.

Indikatoren

114

4 index domains

Hazard families

23

Planetary boundaries and Earth-system tipping · Frontier and exponential technology.

Methoden

41

Climate, nature and biodiversity · Policy, regulation and governance.

Counts from the indicator, hazard and model registries.
5
Bereichsindizes
114
indicators in scope
2
Gefahrenbereiche
3
client groups

01Geltungsbereich

Scope and questions

The subject of this index is proposed by NXS-GRX (canonical data, provenance and risk); the Nexus Reports edition with the same code sets its own subject at commissioning, and any difference is recorded as a crosswalk.

  1. Which interventions are being proposed and tested?
  2. What governance exists?
  3. What are the stated physical and termination risks?
02Construction

Domain indices to the series index

The series index is the expert-weighted geometric mean of its domain indices, with the intervals and class rule of the methodology.

computation

How the Climate intervention technologies index is built

Graph9 nodes
Graph
01Domänenindizes
02Series index
03Readings

100%
Verzeichnis
  1. Physische Klimagefahr

    Domain index · IDX · CLI
    0–10 index of physical climate hazard combining chronic change, observed extremes and projected change (projection sub-index taken at SSP2-4.5, 2041–2060 by default, with other scenarios as alternative runs).
  2. Exposition gegenüber der Klimatransition

    Domain index · IDX · CLI
    0–10 index of an economy’s exposure to a low-carbon transition, combining transition exposure (fossil rents, fuel exports, subsidies) and emissions intensity (per capita and per unit of GDP).
  3. Umweltdruck

    Domain index · IDX · ENV
    0–10 index of environmental pressure and ecosystem condition combining air pollution, land and forest degradation, biodiversity status, ocean condition and waste pressure.
  4. Governance-Schwäche

    Domain index · IDX · GOV
    Weighted aggregation, on 0 to 10, of governance quality, rule of law, policy and institutional quality and statistical capacity, each oriented by its own polarity so that higher values mean weaker governance.
  5. Risiko technologischer Konzentration

    Domain index · IDX · TEC
    Index of technology dependence, critical-mineral dependence and, inverted, innovation capacity and biosecurity oversight, on a 0–10 scale, higher meaning riskier.
  6. Climate intervention technologies index

    Series index · SERIES · XT-18
    Kohlenstoffentnahme und vorgeschlagene Klimaeingriffe: physische, Governance- und Abbruchrisiken, nur aus veröffentlichten Bewertungen gelesen.
  7. Country readings

    Output · OUTPUT · 195 profiles
    Published with intervals and classes when the edition is released.
  8. Regional readings

    Output · OUTPUT · 5 regions
    Published with intervals and classes when the edition is released.
  9. Global reading

    Output · OUTPUT · population or exposure weighted
    Published with intervals and classes when the edition is released.
Nicht ausgeführtIn BearbeitungErledigt
FIG 2. Select a domain index to open its full construction; Simulate run plays the computation. Schematic of the construction; source: Indicator Standard composite definitions.
03Indizes

Domain indices in this series

The Global Risks Index · XT-18 · 195 profiles · 0–10 scale
Climate intervention technologies index, world
–
Werte erscheinen mit der Ausgabe; Intervall, Klasse und Veränderung werden hier angezeigt.
Index Wert Veränderung Veränderung % 90%-Intervall Klasse · Wahrscheinlichkeit Trend Spanne
Physische KlimagefahrNXS-GRX · CLI – – – – –
Exposition gegenüber der KlimatransitionNXS-GRX · CLI – – – – –
UmweltdruckNXS-GRX · ENV – – – – –
Governance-SchwächeNXS-GRX · GOV – – – – –
Risiko technologischer KonzentrationNXS-GRX · TEC – – – – –

Domains read: Climate, Environment and biodiversity, Governance and institutions, Technology and frontier.

04Indikatoren

114 indicators in scope

Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.

FIG 3 · Indicators in scope, by domain and sub-domain
CLI · 31ENV · 22GOV · 20TEC · 8
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.
Indikator Domäne Sub-domain Komponente Einheit Ebenen Crosswalks
LIC-DSF-Kompositindikator (veröffentlicht, Referenz)IND.FIS.capacity.lic_dsf_composite_indicator FIS Debt-carrying capacity coping capacity {score} COUNTRY
Bankexposition gegenüber CO2-intensiven SektorenIND.FIN.climate_finance.carbon_intensive_exposure FIN Climate-related financial exposure exposure % COUNTRY
Bankkredite mit hohem physischem KlimarisikoIND.FIN.climate_finance.physical_risk_lending FIN Climate-related financial exposure exposure % COUNTRY
Renten aus natürlichen Ressourcen, Anteil am BIPIND.ECO.concentration.natural_resource_rents.gdp ECO Export and import concentration vulnerability % COUNTRY WB_WDI NY.GDP.TOTL.RT.ZS
Nettoimportabhängigkeit bei kritischen MineralienIND.ECO.concentration.critical_minerals_import_reliance ECO Export and import concentration vulnerability % COUNTRY
Oberflächenerwärmung seit vorindustrieller ZeitIND.CLI.physical_chronic.warming_since_preindustrial CLI Chronic physical change hazard K GLOBAL, REGION, COUNTRY, ADM1, GRID FAO_FAOSTAT ET
Veränderung des JahresniederschlagsIND.CLI.physical_chronic.precipitation_change CLI Chronic physical change hazard % COUNTRY, ADM1, GRID
Rate des relativen MeeresspiegelanstiegsIND.CLI.physical_chronic.relative_sea_level_trend CLI Chronic physical change hazard mm/a COUNTRY, ADM1, CITY, SITE UNDRR_HIPS_2025 EN0402
Heißester Tag des Jahres (TXx)IND.CLI.physical_acute.txx CLI Acute climate extremes hazard Cel COUNTRY, ADM1, CITY, GRID
Anteil warmer Tage (TX90p)IND.CLI.physical_acute.tx90p CLI Acute climate extremes hazard % COUNTRY, ADM1, GRID
Veränderung der sehr heißen Tage (35 °C oder mehr)IND.CLI.physical_acute.hot_days_change CLI Acute climate extremes hazard d/a COUNTRY, ADM1, CITY, GRID
Dauer von Wärmeperioden (WSDI)IND.CLI.physical_acute.warm_spell_duration CLI Acute climate extremes hazard d/a COUNTRY, ADM1, GRID
Niederschlagsreichster Tag des Jahres (Rx1day)IND.CLI.physical_acute.rx1day CLI Acute climate extremes hazard mm COUNTRY, ADM1, CITY, GRID
Niederschlagsreichste fünf Tage des Jahres (Rx5day)IND.CLI.physical_acute.rx5day CLI Acute climate extremes hazard mm COUNTRY, ADM1, GRID
Niederschlag an sehr nassen Tagen (R95pTOT)IND.CLI.physical_acute.very_wet_day_share CLI Acute climate extremes hazard % COUNTRY, ADM1, GRID
Längste Trockenperiode (CDD)IND.CLI.physical_acute.consecutive_dry_days CLI Acute climate extremes hazard d COUNTRY, ADM1, GRID
Assets vulnerable to climate-related physical risks, shareIND.CLI.physical_acute.physical_risk_vulnerable_assets.share CLI Acute climate extremes exposure % SITE, PORTFOLIO IFRS_S2 29(c)
Projizierte Erwärmung seit vorindustrieller ZeitIND.CLI.projection.projected_warming CLI Scenario projections hazard K GLOBAL, REGION, COUNTRY, ADM1, GRID
Projizierte Veränderung der Temperatur des heißesten TagesIND.CLI.projection.projected_txx_change CLI Scenario projections hazard K COUNTRY, ADM1, GRID
Projizierte Veränderung des Niederschlags der fünf niederschlagsreichsten TageIND.CLI.projection.projected_rx5day_change CLI Scenario projections hazard % COUNTRY, ADM1, GRID
Projizierter relativer MeeresspiegelanstiegIND.CLI.projection.projected_sea_level_rise CLI Scenario projections hazard m COUNTRY, ADM1, CITY, SITE
Bevölkerung unterhalb des künftigen 100-jährlichen Küstenhochwasserniveaus, AnteilIND.CLI.projection.slr_coastal_population_exposed.share CLI Scenario projections exposure % COUNTRY, ADM1, CITY WB_WDI EN.POP.EL5M.ZS
Gesamte Treibhausgasemissionen ohne LULUCFIND.CLI.emissions.ghg_total CLI Emissions exposure Mt/a COUNTRY WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2
Treibhausgasemissionen pro KopfIND.CLI.emissions.ghg_per_capita CLI Emissions exposure t/a/{person} COUNTRY WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP
CO2-Intensität des BIPIND.CLI.emissions.carbon_intensity_gdp CLI Emissions exposure kg/[USD] COUNTRY WB_WDI EN.GHG.CO2.RT.GDP.KD SDG 9.4.1
Financed emissions of a portfolioIND.CLI.emissions.financed_emissions CLI Emissions exposure Mt/a PORTFOLIO IFRS_S2 29(a)(vi)
Renten aus fossilen Brennstoffen, Anteil am BIPIND.CLI.transition.fossil_fuel_rents.gdp CLI Transition exposure exposure % COUNTRY WB_WDI NY.GDP.PETR.RT.ZS WB_WDI NY.GDP.NGAS.RT.ZS WB_WDI NY.GDP.COAL.RT.ZS
Brennstoffexporte, Anteil an den WarenexportenIND.CLI.transition.fossil_fuel_exports.share CLI Transition exposure exposure % COUNTRY WB_WDI TX.VAL.FUEL.ZS.UN
Explizite Subventionen für fossile Brennstoffe, Anteil am BIPIND.CLI.transition.fossil_fuel_subsidies.gdp CLI Transition exposure exposure % COUNTRY
Assets vulnerable to climate-related transition risks, shareIND.CLI.transition.transition_risk_vulnerable_assets.share CLI Transition exposure exposure % PORTFOLIO IFRS_S2 29(b)
Gesamtwirtschaftliches NDC-Emissionsziel 2030IND.CLI.transition.ndc_target_ambition CLI Transition exposure response % COUNTRY SDG 13.2.1
Nationaler Anpassungsplan eingereichtIND.CLI.adaptation.nap_submitted CLI Adaptation readiness adaptive capacity {bool} COUNTRY SDG 13.2.1
Wirtschaftliche Bereitschaft für AnpassungsinvestitionenIND.CLI.adaptation.economic_readiness CLI Adaptation readiness adaptive capacity {score} COUNTRY ND_GAIN economic
Governance-Bereitschaft für AnpassungIND.CLI.adaptation.governance_readiness CLI Adaptation readiness adaptive capacity {score} COUNTRY ND_GAIN governance
Gesellschaftliche Bereitschaft für AnpassungIND.CLI.adaptation.social_readiness CLI Adaptation readiness adaptive capacity {score} COUNTRY ND_GAIN social
Erhaltene internationale Anpassungsfinanzierung pro KopfIND.CLI.adaptation.adaptation_finance_received.pc CLI Adaptation readiness adaptive capacity [USD] COUNTRY
Bevölkerung unter 5 m Höhe, AnteilIND.HAZ.coastal.low_elevation_population.share HAZ Coastal and sea level exposure % COUNTRY, ADM1, CITY WB_WDI EN.POP.EL5M.ZS
Häufigkeit schwerer meteorologischer DürreIND.HAZ.drought.spei_drought_frequency HAZ Dürre hazard % COUNTRY, ADM1, GRID UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR
Tage mit gefährlicher feuchter Hitze pro JahrIND.HAZ.heat.dangerous_heat_days HAZ Extreme heat hazard d/a COUNTRY, ADM1, CITY, GRID UNDRR_HIPS_2025 MH0501
Tage mit extremem Feuerwetter pro JahrIND.HAZ.wildfire.extreme_fire_weather_days HAZ Waldbrand hazard d/a COUNTRY, ADM1, GRID
Jährlich verbrannte Fläche, Anteil an der LandflächeIND.HAZ.wildfire.burned_area.share HAZ Waldbrand hazard % COUNTRY, ADM1, GRID UNDRR_HIPS_2025 EN0205 EMDAT nat-cli-wil-wil
PM2.5-Exposition, bevölkerungsgewichteter MittelwertIND.ENV.air.pm25_exposure ENV Luftqualität hazard ug/m3 COUNTRY, ADM1, CITY, GRID WB_WDI EN.ATM.PM25.MC.M3 SDG 11.6.2 EPI PMD
Bevölkerung mit Exposition über dem PM2.5-Richtwert der WHO, AnteilIND.ENV.air.pm25_guideline_exceedance.share ENV Luftqualität exposure % COUNTRY, ADM1, CITY WB_WDI EN.ATM.PM25.MC.ZS
Saisonale Spitzenexposition gegenüber OzonIND.ENV.air.ozone_exposure ENV Luftqualität hazard [ppb] COUNTRY, ADM1, CITY, GRID
LandflächeIND.ENV.land.land_area ENV Land and forests context km2 COUNTRY, ADM1, ADM2, CITY WB_WDI AG.LND.TOTL.K2
Waldfläche, Anteil an der LandflächeIND.ENV.land.forest_cover.share ENV Land and forests vulnerability % COUNTRY, ADM1 SDG 15.1.1 WB_WDI AG.LND.FRST.ZS
Jährliche Verlustrate der BaumbedeckungIND.ENV.land.tree_cover_loss.share ENV Land and forests hazard % COUNTRY, ADM1, ADM2, GRID EPI TCL
Degradierte Flächen, Anteil an der LandflächeIND.ENV.land.land_degradation.share ENV Land and forests hazard % COUNTRY, ADM1, GRID SDG 15.3.1
StraßendichteIND.ENV.land.road_density ENV Land and forests hazard km/km2 COUNTRY, ADM1, ADM2, CITY, GRID
Rote-Liste-IndexIND.ENV.biodiversity.red_list_index ENV Biodiversität vulnerability 1 GLOBAL, REGION, COUNTRY SDG 15.5.1
Biodiversity Intactness IndexIND.ENV.biodiversity.biodiversity_intactness ENV Biodiversität vulnerability 1 COUNTRY, ADM1, GRID
Terrestrische Schutzgebiete, Anteil an der LandflächeIND.ENV.biodiversity.terrestrial_protected.share ENV Biodiversität response % COUNTRY, ADM1 WB_WDI ER.LND.PTLD.ZS
Durch Schutzgebiete abgedeckte Schlüsselgebiete der BiodiversitätIND.ENV.biodiversity.key_biodiversity_area_protected.share ENV Biodiversität response % COUNTRY, REGION SDG 15.1.2
Meeresschutzgebiete, Anteil an den HoheitsgewässernIND.ENV.ocean.marine_protected.share ENV Ocean response % COUNTRY WB_WDI ER.MRN.PTMR.ZS SDG 14.5.1
Index der KüsteneutrophierungIND.ENV.ocean.coastal_eutrophication ENV Ocean hazard % COUNTRY, REGION SDG 14.1.1
Durchschnittliche Meeresversauerung (pH)IND.ENV.ocean.ocean_acidity ENV Ocean hazard [pH] COUNTRY, REGION, SITE SDG 14.3.1
Fischbestände innerhalb biologisch nachhaltiger GrenzenIND.ENV.ocean.sustainable_fish_stocks.share ENV Ocean vulnerability % GLOBAL, REGION, COUNTRY SDG 14.4.1
Tage mit mariner Hitzewelle pro JahrIND.ENV.ocean.marine_heatwave_days ENV Ocean hazard d/a COUNTRY, REGION, GRID UNDRR_HIPS_2025 MH0708
Erzeugter Siedlungsabfall pro KopfIND.ENV.pollution.msw_generation.pc ENV Pollution and waste hazard kg/a/{person} COUNTRY, CITY
In kontrollierten Anlagen behandelter SiedlungsabfallIND.ENV.pollution.msw_controlled_management.share ENV Pollution and waste coping capacity % COUNTRY, CITY SDG 11.6.1 EPI MSW
Unsachgemäß entsorgter Plastikmüll pro KopfIND.ENV.pollution.mismanaged_plastic_waste.pc ENV Pollution and waste hazard kg/a/{person} COUNTRY, ADM1
BIP in stark naturabhängigen Sektoren, AnteilIND.ENV.nature_dependence.nature_dependent_gdp.share ENV Nature dependence exposure % COUNTRY, PORTFOLIO
Von tierischer Bestäubung abhängiger Wert der Pflanzenproduktion, AnteilIND.ENV.nature_dependence.pollinator_dependent_crops.share ENV Nature dependence exposure % COUNTRY, ADM1
Gewässer mit guter UmgebungswasserqualitätIND.WAT.quality.good_ambient_water_quality.share WAT Water quality vulnerability % COUNTRY, ADM1 SDG 6.3.2
Sicher behandelte AbwasserströmeIND.WAT.quality.wastewater_safely_treated.share WAT Water quality coping capacity % COUNTRY, CITY SDG 6.3.1 EPI WWT
Abhängigkeitsquote von externen erneuerbaren WasserressourcenIND.WAT.dependence.external_water_dependency WAT Transboundary dependence exposure % COUNTRY
Grenzüberschreitende Einzugsgebietsfläche mit operativer ZusammenarbeitIND.WAT.dependence.transboundary_cooperation.share WAT Transboundary dependence coping capacity % COUNTRY SDG 6.5.2
Malaria-InzidenzIND.HLT.burden.malaria_incidence HLT Disease burden and mortality hazard /10*3 COUNTRY WB_WDI SH.MLR.INCD.P3 SDG 3.3.3 WHO_GHO SDGMALARIA
Wertschöpfung von Land- und Forstwirtschaft und Fischerei, Anteil am BIPIND.FOO.agriculture.agri_value_added.gdp FOO Agricultural production and dependence vulnerability % COUNTRY WB_WDI NV.AGR.TOTL.ZS
Beschäftigung in der Landwirtschaft, Anteil an der GesamtbeschäftigungIND.FOO.agriculture.agri_employment_share FOO Agricultural production and dependence vulnerability % COUNTRY WB_WDI SL.AGR.EMPL.ZS
Variabilität des Getreideertrags (15 Jahre)IND.FOO.agriculture.cereal_yield_variability FOO Agricultural production and dependence vulnerability % COUNTRY
Ackerland, Anteil an der LandflächeIND.FOO.agriculture.cropland.share FOO Agricultural production and dependence exposure % COUNTRY, ADM1, ADM2, GRID WB_WDI AG.LND.ARBL.ZS
Vegetation Health Index auf AckerlandIND.FOO.agriculture.vegetation_health_index FOO Agricultural production and dependence hazard {score} COUNTRY, ADM1, ADM2, GRID
Sitze von Frauen im nationalen ParlamentIND.SOC.gender.women_in_parliament SOC Gender adaptive capacity % COUNTRY WB_WDI SG.GEN.PARL.ZS SDG 5.5.1
Mitspracherecht und Rechenschaftspflicht (WGI)IND.GOV.quality.voice_accountability GOV Governance quality coping capacity {score} COUNTRY WB_WGI GOV_WGI_VA.SC WB_WGI GOV_WGI_VA.EST
Politische Stabilität und Abwesenheit von Gewalt (WGI)IND.GOV.quality.political_stability GOV Governance quality coping capacity {score} COUNTRY WB_WGI GOV_WGI_PV.SC WB_WGI GOV_WGI_PV.EST
Effektivität der Regierung (WGI)IND.GOV.quality.government_effectiveness GOV Governance quality coping capacity {score} COUNTRY WB_WGI GOV_WGI_GE.SC WB_WGI GOV_WGI_GE.EST
Korruptionskontrolle (WGI)IND.GOV.quality.control_of_corruption GOV Governance quality coping capacity {score} COUNTRY WB_WGI GOV_WGI_CC.SC WB_WGI GOV_WGI_CC.EST
Korruptionswahrnehmungsindex (Transparency International)IND.GOV.quality.corruption_perceptions GOV Governance quality coping capacity {score} COUNTRY
Wert der Pressefreiheit (RSF)IND.GOV.quality.press_freedom GOV Governance quality coping capacity {score} COUNTRY
Rechtsstaatlichkeit (WGI)IND.GOV.rule_of_law.rule_of_law GOV Rule of law coping capacity {score} COUNTRY WB_WGI GOV_WGI_RL.SC WB_WGI GOV_WGI_RL.EST
Eigentumsrechte und regelbasierte Regierungsführung (CPIA)IND.GOV.rule_of_law.property_rights GOV Rule of law coping capacity {score} COUNTRY WB_WDI IQ.CPA.PROP.XQ
Nicht verurteilte Inhaftierte, Anteil an der GefängnisbevölkerungIND.GOV.rule_of_law.unsentenced_detainees GOV Rule of law vulnerability % COUNTRY SDG 16.3.2
Bestechungshäufigkeit bei UnternehmenIND.GOV.rule_of_law.bribery_incidence_firms GOV Rule of law vulnerability % COUNTRY WB_WDI IC.FRM.BRIB.ZS SDG 16.5.2
Regulierungsqualität (WGI)IND.GOV.policy.regulatory_quality GOV Policy and institutional quality coping capacity {score} COUNTRY WB_WGI GOV_WGI_RQ.SC WB_WGI GOV_WGI_RQ.EST
CPIA-Gesamtbewertung (IDA-Ressourcenzuteilungsindex)IND.GOV.policy.cpia_overall GOV Policy and institutional quality coping capacity {score} COUNTRY WB_WDI IQ.CPA.IRAI.XQ
CPIA: Management des öffentlichen Sektors und InstitutionenIND.GOV.policy.cpia_public_sector_management GOV Policy and institutional quality coping capacity {score} COUNTRY WB_WDI IQ.CPA.PUBS.XQ
CPIA: Transparenz, Rechenschaftspflicht und Korruption im öffentlichen SektorIND.GOV.policy.cpia_transparency GOV Policy and institutional quality coping capacity {score} COUNTRY WB_WDI IQ.CPA.TRAN.XQ
Effizienz der Einnahmenmobilisierung (CPIA)IND.GOV.policy.tax_administration GOV Policy and institutional quality coping capacity {score} COUNTRY WB_WDI IQ.CPA.REVN.XQ
Abweichung des Haushaltsvollzugs vom genehmigten HaushaltIND.GOV.policy.budget_execution_deviation GOV Policy and institutional quality vulnerability % COUNTRY SDG 16.6.1
Gesamtwert der Statistical Performance IndicatorsIND.GOV.statistics.spi_overall GOV Statistical capacity coping capacity {score} COUNTRY WB_WDI IQ.SPI.OVRL WB_WDI IQ.SCI.OVRL
Vollständigkeit der GeburtenregistrierungIND.GOV.statistics.birth_registration GOV Statistical capacity coping capacity % COUNTRY WB_WDI SP.REG.BRTH.ZS SDG 16.9.1
Jahre seit der letzten VolkszählungIND.GOV.statistics.years_since_census GOV Statistical capacity vulnerability a COUNTRY SDG 17.19.2
Wert des Geschäftsumfelds (B-READY)IND.GOV.business.bready_overall GOV Business environment coping capacity {score} COUNTRY
Anteil erneuerbarer Energien am gesamten EndenergieverbrauchIND.ENE.mix.renewable_share_tfec ENE Energy mix adaptive capacity % COUNTRY SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS
Primärenergieintensität des BIPIND.ENE.mix.energy_intensity ENE Energy mix vulnerability MJ/[USD] COUNTRY SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD
Fossiler Anteil an der StromerzeugungIND.ENE.mix.fossil_electricity_share ENE Energy mix vulnerability % COUNTRY WB_WDI EG.ELC.FOSL.ZS
Installierte erneuerbare Erzeugungskapazität pro KopfIND.ENE.mix.renewable_capacity.pc ENE Energy mix adaptive capacity W/{person} COUNTRY SDG 7.b.1
Heiz- und KühlgradtageIND.ENE.reliability.thermal_demand_degree_days ENE Reliability hazard K.d/a COUNTRY, ADM1, CITY, GRID
Lieferantenkonzentration bei Importen kritischer MineralienIND.ENE.minerals.critical_mineral_import_concentration ENE Critical minerals vulnerability 1 COUNTRY
ITU GCI, Säule rechtliche MaßnahmenIND.CYB.capability.gci_legal CYB Cyber capability coping capacity {score} COUNTRY ITU_GCI Legal Measures
ITU GCI, Säule organisatorische MaßnahmenIND.CYB.capability.gci_organizational CYB Cyber capability coping capacity {score} COUNTRY ITU_GCI Organizational Measures
Datenschutzgesetzgebung in KraftIND.CYB.capability.data_protection_law CYB Cyber capability coping capacity {bool} COUNTRY ITU_GCI Legal Measures
Entwicklung des E-GovernmentIND.CYB.dependence.egovernment_development CYB Digital dependence exposure {score} COUNTRY
Bruttoinlandsausgaben für F&E, Anteil am BIPIND.TEC.capability.rd_expenditure.gdp TEC Technology capability adaptive capacity % COUNTRY SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS
Forschende je Million EinwohnerIND.TEC.capability.researchers_per_million TEC Technology capability adaptive capacity /10*6 COUNTRY SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6
Hochtechnologieexporte, Anteil an den Exporten von IndustrieerzeugnissenIND.TEC.capability.high_tech_exports TEC Technology capability adaptive capacity % COUNTRY WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1
Lieferantenkonzentration bei HalbleiterimportenIND.TEC.concentration.semiconductor_import_concentration TEC Concentration and dependence vulnerability 1 COUNTRY
Anbieterkonzentration bei Cloud-InfrastrukturIND.TEC.concentration.cloud_provider_concentration TEC Concentration and dependence vulnerability 1 COUNTRY
KI-Rechenkapazität unter ausländischer Kontrolle oder Kontrolle eines einzelnen AnbietersIND.TEC.ai.ai_compute_foreign_control TEC Künstliche Intelligenz vulnerability % COUNTRY
Anbieterkonzentration bei BasismodellenIND.TEC.ai.foundation_model_concentration TEC Künstliche Intelligenz vulnerability % COUNTRY
Aufsicht über biologische Sicherheit und Biosicherheit von HochsicherheitslaborenIND.TEC.bio.biosecurity_lab_oversight TEC Biotechnologie coping capacity {score} COUNTRY
Nationale DRR-Strategie im Einklang mit dem Sendai-Rahmenwerk für KatastrophenvorsorgeIND.CRS.drr.national_drr_strategy CRS DRR strategy coping capacity {score} COUNTRY SENDAI E-1 SDG 1.5.3 SDG 11.b.1 SDG 13.1.2
Kommunalverwaltungen mit DRR-Strategien im Einklang mit der nationalen StrategieIND.CRS.drr.local_drr_strategies CRS DRR strategy coping capacity % COUNTRY, ADM1 SENDAI E-2 SDG 1.5.4 SDG 11.b.2 SDG 13.1.3
05Gefahren

Hazard families this series reads

families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.

FIG 4 · Hazard families this series reads
PlanetaryFrontier167HAZARDS
2 hazard domains (inner ring) and 23 families (outer ring), sized by hazard count. Select a segment to filter the table below. Source: Hazard Standard Nexus Hazard Standard.
Familie Domäne Gefahren Count
Planetary boundary transgressions Planetare Grenzen und Kipppunkte des Erdsystems Climate-forcing boundary transgression, Global temperature overshoot, Global warming acceleration, Atmospheric methane surge, Extinction-rate boundary transgression, Biosphere functional integrity loss, Land-system change boundary transgression, Blue-water flow disturbance … 14
Ice tipping elements Planetare Grenzen und Kipppunkte des Erdsystems Greenland ice sheet tipping, West Antarctic ice sheet collapse, East Antarctic subglacial basin retreat, Arctic winter sea-ice collapse, Antarctic sea-ice regime shift, Regional glacier extinction 6
Ocean circulation and marine tipping Planetare Grenzen und Kipppunkte des Erdsystems Atlantic overturning weakening, Atlantic overturning collapse, Subpolar gyre convection collapse, Antarctic overturning slowdown, Arctic Ocean atlantification, Warm-water coral reef die-off, Marine methane hydrate destabilisation 7
Biome tipping elements Planetare Grenzen und Kipppunkte des Erdsystems Amazon rainforest dieback, Boreal forest southern dieback, Boreal forest northern advance, Tropical forest carbon-sink reversal, Sahel vegetation regime shift 5
Carbon-cycle feedbacks Planetare Grenzen und Kipppunkte des Erdsystems Permafrost carbon release, Abrupt permafrost thaw emission, Subsea permafrost greenhouse gas release, Wetland methane feedback, Land carbon sink weakening, Ocean carbon sink weakening, Soil carbon respiration feedback 7
Atmospheric circulation and monsoon tipping Planetare Grenzen und Kipppunkte des Erdsystems South Asian monsoon regime shift, West African monsoon regime shift, South American monsoon weakening, East Asian monsoon regime shift, Tropical belt widening, Tropical Pacific regime change, Jet-stream regime change, Marine stratocumulus deck breakup … 9
Deep-time and cosmic catastrophes Planetare Grenzen und Kipppunkte des Erdsystems Supereruption, Large-magnitude explosive eruption, Flood-basalt eruption episode, Impact winter, Comet shower, Solar superflare, Gamma-ray burst, Nearby supernova … 10
AI system failure and misalignment Grenz- und Exponentialtechnologien AI malfunction in a critical service, Out-of-distribution model failure, Correlated failure of shared AI models, Reliance on fabricated AI output, Specification gaming and reward hacking, Deceptive or strategically misaligned AI, Loss of human control over advanced AI, AI self-replication and exfiltration … 11
AI security and model supply chain Grenz- und Exponentialtechnologien Theft of frontier model weights, Backdoored AI model, AI model supply-chain compromise, Prompt injection against AI agents, AI-enabled cyber offence, Attack on AI compute infrastructure, Adversarial manipulation of machine learning 7
AI misuse and capability uplift Grenz- und Exponentialtechnologien AI uplift for biological weapons, AI uplift for chemical weapons, Synthetic media at scale, Non-consensual synthetic intimate imagery, AI-driven mass persuasion, AI-enabled mass surveillance and repression, AI-enabled seizure or entrenchment of power, Malicious use of AI 8
Agentic AI acting at scale Grenz- und Exponentialtechnologien Runaway autonomous agent action, Multi-agent interaction cascade, Algorithmic market flash crash, Human deskilling and over-reliance on AI, Gradual human disempowerment by AI, Autonomous agent overreach 6
Algorithmic decision and structural harm Grenz- und Exponentialtechnologien Harmful automated decision-making, Clinical AI error, Rapid AI-driven labour displacement, Concentration of frontier AI capability, Competitive AI race and safety erosion, Degradation of the shared knowledge base, Recommender-system amplification harm, Harm from AI companions and chatbots … 12
Robotics, autonomy and autonomous weapons Grenz- und Exponentialtechnologien Lethal autonomous weapon use, Drone swarm attack, Weaponised small drone attack, Drone intrusion into protected airspace, AI-accelerated military escalation, AI in nuclear command, control and warning, Industrial and service robot injury, Autonomous vehicle system failure … 10
Biotechnologie und synthetische Biologie Grenz- und Exponentialtechnologien Engineered pandemic pathogen, Dual-use research of concern, Benchtop DNA synthesis misuse, Biological design tool misuse, Automated biofoundry accident, Gene drive escape, Engineered organism escape into the environment, Mirror-image organism creation or release … 10
Nanotechnology and advanced materials Grenz- und Exponentialtechnologien Engineered nanomaterial exposure, High-aspect-ratio nanofibre inhalation, Nanomaterial accumulation in the environment, Uncontrolled self-replicating nanomachines, Molecular manufacturing arms race 5
Neurotechnology, human enhancement and extended reality Grenz- und Exponentialtechnologien Brain-computer interface failure, Neural device compromise, Neural data exploitation, Cognitive enhancement harm and coercion, Heritable human genome editing harm, Extended-reality physical and psychological harm, Manipulation of augmented perception 7
Quantum technology and cryptographic transition Grenz- und Exponentialtechnologien Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment 4
Technologien zur Klimaintervention Grenz- und Exponentialtechnologien Solar geoengineering termination shock, Stratospheric aerosol injection side effects, Marine cloud brightening side effects, Unilateral or rogue geoengineering deployment, Ocean fertilisation side effects, Ocean alkalinity enhancement side effects, Large-scale carbon removal land and water competition, Geological carbon storage leakage … 11
Space technology and orbital infrastructure Grenz- und Exponentialtechnologien Destructive anti-satellite strike, Non-kinetic counterspace attack, Mega-constellation orbital congestion, Constellation-wide service failure, Upper-atmosphere pollution from launches and re-entries, Satellite interference with sky observation, Back-contamination from extraterrestrial samples 7
Digital infrastructure concentration and monoculture Grenz- und Exponentialtechnologien Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure 3
Advanced and distributed manufacturing Grenz- und Exponentialtechnologien 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure 3
Energy-transition technology failures Grenz- und Exponentialtechnologien Lithium battery fire in vehicles and transport, Mass manipulation of connected energy devices, Advanced reactor material security risk, Critical mineral supply concentration 4
Distributed ledgers and digital assets Grenz- und Exponentialtechnologien Smart-contract and oracle exploit 1
06Pfade

How this risk can move to 2100

FIG 5 · Explorer: a pathway fan chart to 2100
4
0.35
0.45
10
1
–
läuft in Ihrem Browser

Explorer: 2,000 paths from your drift, volatility and shock settings, shown as a fan chart (50% and 90% bands, median line) against the class bounds. Pathways editions project each domain under named scenario families; this explainer uses no scenario data.
07Methoden

Method libraries

Each method has a reference implementation or declares the specialist model, data or adapter it still needs; none is promoted beyond its evidence.

24 methods

Klima, Natur und Biodiversität

Climate Extremes · Chronic Climate Risk · Compound Climate Risk · Climate Scenario Ensemble · Climate Attribution Science · Land Cover Change · Deforestation …

17 methods

Politik, Regulierung und Governance

Scenario Counterfactual · Regulatory Change Risk · Policy Uncertainty · Policy Effectiveness · Implementation Gap · Regulatory Exposure · Compliance Obligation Mapping …

08Users

Who uses it

Governments and national risk agencies

Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.

Universities and research

Replicate every value. Study methods. Contribute data and review.

UN system and humanitarian organisations

Compare needs across contexts with intervals. Watch weekly signals for review. Read outlooks for anticipatory planning.

09Berichte

Nexus Reports

Edition code
XT-18
Edition status
geplant
Gegenstand
Set by Nexus Reports at commissioning

Nexus Reports

10Zitieren

Zitieren und weiterverwenden

GCRI Canada (2026). The Global Risks Index (NXS-GRX): Climate intervention technologies series (GRX-SER-XT-18), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/series/xt-18/ UNI NXS-GRX-AR-000105.
Series key
grix:SER.XT-18:{ISO3}:{YEAR}:A
Domain keys
nis:IDX.CLI.physical_chronic.climate_physical_risk:{ISO3}:{YEAR}:A nis:IDX.CLI.transition.transition_risk:{ISO3}:{YEAR}:A nis:IDX.ENV.biodiversity.environmental_pressure:{ISO3}:{YEAR}:A

Every country reads this series

Each country profile carries the domain indices this series is built from.

Länderprofile Alle Reihen

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.