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

气候物理危害指数

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).

Page GRX-IDX-CLI-PHYSICALCHRONICEdition Baseline Edition 2026Evidence close 2026-09-30Indicator Standard IDX.CLI.physical_chronic.climate_physical_riskValues not yet publishedMethod v1.0.0-draft
FIG 1 · Method card
Aggregation

geometric

equal weights · floor 0.1 where geometric

不确定性

1,000 draws

normalisation, weights, aggregation

结构

3 components

16 leaf indicators

覆盖范围

67% minimum

modelled share ≤ 20%

From the Indicator Standard definition of this index.
16
leaf indicators
3
components
1,000
Monte Carlo draws
8
series read it
01Construction

From indicators to the composite

The physical climate dimension of a place profile; adaptation readiness and realised loss are reported beside it as separate dimensions.

computation
How Climate physical hazard is computed
Graph22 nodes
流程图
01指标
02Sub-indices
03Domain index
04支柱
05综合
100%
索引
  1. 相对工业化前的地表升温
    Indicator · IND · K
    Difference between the latest 20-year mean near-surface air temperature over the area and the 1850–1900 mean, from observational datasets; where national records start later, the offset to 1850–1900 is bridged with the global observational estimate.
  2. 年降水量变化
    Indicator · IND · %
    Absolute percentage difference between mean annual precipitation of the latest 30 years and the 1961–1990 mean; the signed value is carried alongside for direction.
  3. 相对海平面上升速率
    Indicator · IND · mm/a
    Linear trend of relative sea level at the coast over the latest 30 years, combining tide-gauge and satellite-altimetry records with vertical land motion.
  4. 年内最热日(TXx)
    Indicator · IND · Cel
    Highest daily maximum near-surface temperature of the year (ETCCDI-style TXx); the 30-year mean and the latest year are both reported.
  5. 暖日占比(TX90p)
    Indicator · IND · %
    Percentage of days in the year whose maximum temperature exceeds the calendar-day 90th percentile of 1961–1990 (ETCCDI-style TX90p); 10% is the baseline expectation.
  6. 酷热日数变化(35 °C 及以上)
    Indicator · IND · d/a
    Change in the mean annual number of days with maximum temperature of 35 °C or more between the latest 30 years and 1961–1990 (ET-SCI-style TXge35).
  7. 暖期持续时间(WSDI)
    Indicator · IND · d/a
    Annual count of days in spells of at least six consecutive days with maximum temperature above the calendar-day 90th percentile of 1961–1990 (ETCCDI-style WSDI).
  8. 年内最大日降水量(Rx1day)
    Indicator · IND · mm
    Maximum one-day precipitation total of the year (ETCCDI-style Rx1day); the 30-year mean and trend are reported.
  9. 年内最大五日降水量(Rx5day)
    Indicator · IND · mm
    Maximum consecutive five-day precipitation total of the year (ETCCDI-style Rx5day).
  10. 极端湿润日降水量(R95pTOT)
    Indicator · IND · %
    Share of annual precipitation falling on days wetter than the 95th percentile of wet days in 1961–1990 (ETCCDI-style R95pTOT relative to the annual total).
  11. 最长连续干旱日数(CDD)
    Indicator · IND · d
    Maximum number of consecutive days in the year with precipitation below 1 mm (ETCCDI-style CDD).
  12. 相对工业化前的预估升温
    Indicator · IND · K
    Multi-model median change in mean near-surface temperature relative to 1850–1900 for the area; scenario (SSP-RCP), horizon (2021–2040, 2041–2060, 2081–2100) and ensemble statistic are observation dimensions, values flagged S.
  13. 最热日气温预估变化
    Indicator · IND · K
    Multi-model median change in TXx relative to 1995–2014; scenario, horizon and ensemble statistic are observation dimensions, values flagged S.
  14. 最大五日降水量预估变化
    Indicator · IND · %
    Multi-model median percentage change in Rx5day relative to 1995–2014; scenario, horizon and ensemble statistic are observation dimensions, values flagged S.
  15. 预估相对海平面上升
    Indicator · IND · m
    Median projected relative sea-level change at the coast relative to 1995–2014, including vertical land motion; scenario, horizon and likely-range bounds are observation dimensions, values flagged S.
  16. 低于未来 100 年一遇沿海洪水水位的人口占比
    Indicator · IND · %
    Share of today’s residents living below the 100-year extreme still-water level raised by projected relative sea-level rise; scenario and horizon are observation dimensions, values flagged S.
  17. Chronic climate change sub-index
    Sub-index · SUB · w 1 · 33.3%
    Composite of observed warming since pre-industrial, change in annual precipitation and relative sea-level rise rate.
  18. Climate extremes sub-index
    Sub-index · SUB · w 1 · 33.3%
    Composite of ETCCDI-style extremes indices: TXx, TX90p, change in very hot days, WSDI, Rx1day, Rx5day, R95pTOT and CDD.
  19. Projected climate change sub-index
    Sub-index · SUB · w 1 · 33.3%
    Composite of projected warming, projected change in TXx and Rx5day, projected sea-level rise and population below the future 100-year coastal flood level, computed separately for each scenario and horizon; never averaged across scenarios.
  20. 气候物理危害指数
    Domain index · IDX · geometric
    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).
  21. 危害与威胁暴露
    Pillar · PILLAR · 5 indices
    What can strike, how often, how hard and who and what stands in its way?
  22. 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
未运行进行中已完成
FIG 2. 16 indicators, 3 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 climate physical hazard on your numbers
Components (0 to 10)
3.0
5.0
7.0
25
1
–
在您的浏览器中运行
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.
03方法

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
geometric
Scale
0 to 10
不确定性
1,000 Monte Carlo runs over normalisation, weights, aggregation
Framework basis
IPCC AR6 WGII risk framing; INFORM Climate Change; ND-GAIN vulnerability (exposure component, structure only)
很低0.0 至 < 2.0
低2.0 至 < 3.5
中3.5 至 < 5.0
高5.0 至 < 6.5
很高6.5 至 10.0
04Components

3 components, 16 indicators

Chronic climate change sub-index w 1

Composite of observed warming since pre-industrial, change in annual precipitation and relative sea-level rise rate.

指标单位证据来源占比
相对工业化前的地表升温IND.CLI.physical_chronic.warming_since_preindustrialKClass Cberkeley-earth, copernicus-era5, noaa-globaltemp, fao-faostat-temperature-change33.3%
年降水量变化IND.CLI.physical_chronic.precipitation_change%Class Cgpcc, cru-ts, copernicus-era533.3%
相对海平面上升速率IND.CLI.physical_chronic.relative_sea_level_trendmm/aClass Bpsmsl, copernicus-sea-level, nasa-sea-level-change33.3%

Climate extremes sub-index w 1

Composite of ETCCDI-style extremes indices: TXx, TX90p, change in very hot days, WSDI, Rx1day, Rx5day, R95pTOT and CDD.

指标单位证据来源占比
年内最热日(TXx)IND.CLI.physical_acute.txxCelClass Chadex3, copernicus-era5, national-met-services12.5%
暖日占比(TX90p)IND.CLI.physical_acute.tx90p%Class Chadex3, copernicus-era512.5%
酷热日数变化(35 °C 及以上)IND.CLI.physical_acute.hot_days_changed/aClass Ccopernicus-era5, hadex312.5%
暖期持续时间(WSDI)IND.CLI.physical_acute.warm_spell_durationd/aClass Chadex3, copernicus-era512.5%
年内最大日降水量(Rx1day)IND.CLI.physical_acute.rx1daymmClass Chadex3, gpcc-full-data-daily, copernicus-era512.5%
年内最大五日降水量(Rx5day)IND.CLI.physical_acute.rx5daymmClass Chadex3, gpcc-full-data-daily, copernicus-era512.5%
极端湿润日降水量(R95pTOT)IND.CLI.physical_acute.very_wet_day_share%Class Chadex3, copernicus-era512.5%
最长连续干旱日数(CDD)IND.CLI.physical_acute.consecutive_dry_daysdClass Chadex3, copernicus-era512.5%

Projected climate change sub-index w 1

Composite of projected warming, projected change in TXx and Rx5day, projected sea-level rise and population below the future 100-year coastal flood level, computed separately for each scenario and horizon; never averaged across scenarios.

指标单位证据来源占比
相对工业化前的预估升温IND.CLI.projection.projected_warmingKClass Cipcc-ar6-interactive-atlas, cmip6, wb-cckp20.0%
最热日气温预估变化IND.CLI.projection.projected_txx_changeKClass Cipcc-ar6-interactive-atlas, cmip620.0%
最大五日降水量预估变化IND.CLI.projection.projected_rx5day_change%Class Cipcc-ar6-interactive-atlas, cmip620.0%
预估相对海平面上升IND.CLI.projection.projected_sea_level_risemClass Cipcc-ar6-sea-level-projections, nasa-sea-level-projection-tool20.0%
低于未来 100 年一遇沿海洪水水位的人口占比IND.CLI.projection.slr_coastal_population_exposed.share%Class Dipcc-ar6-sea-level-projections, deltares-gtsr, jrc-ghsl-ghs-pop20.0%
05领域

气候

Physical climate hazards and trends, emissions and transition exposure, and adaptation readiness.

Sub-domain指标
Chronic physical change3
Acute climate extremes9
Emissions4
Transition exposure5
Adaptation readiness5
Scenario projections5

Anchor frameworks (pillar structure and definitions only): IPCC AR6; INFORM Climate Change; ND-GAIN; IMF Climate Change Indicators Dashboard; IFRS S2; NGFS Phase V.

06指标

All 31 climate indicators

FIG 4 · Indicators in scope, by domain and sub-domain
CLI · 31
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.
指标领域Sub-domain组件单位级别Crosswalks
相对工业化前的地表升温IND.CLI.physical_chronic.warming_since_preindustrialCLIChronic physical changehazardKGLOBAL, REGION, COUNTRY, ADM1, GRIDFAO_FAOSTAT ET
年降水量变化IND.CLI.physical_chronic.precipitation_changeCLIChronic physical changehazard%COUNTRY, ADM1, GRID
相对海平面上升速率IND.CLI.physical_chronic.relative_sea_level_trendCLIChronic physical changehazardmm/aCOUNTRY, ADM1, CITY, SITEUNDRR_HIPS_2025 EN0402
年内最热日(TXx)IND.CLI.physical_acute.txxCLIAcute climate extremeshazardCelCOUNTRY, ADM1, CITY, GRID
暖日占比(TX90p)IND.CLI.physical_acute.tx90pCLIAcute climate extremeshazard%COUNTRY, ADM1, GRID
酷热日数变化(35 °C 及以上)IND.CLI.physical_acute.hot_days_changeCLIAcute climate extremeshazardd/aCOUNTRY, ADM1, CITY, GRID
暖期持续时间(WSDI)IND.CLI.physical_acute.warm_spell_durationCLIAcute climate extremeshazardd/aCOUNTRY, ADM1, GRID
年内最大日降水量(Rx1day)IND.CLI.physical_acute.rx1dayCLIAcute climate extremeshazardmmCOUNTRY, ADM1, CITY, GRID
年内最大五日降水量(Rx5day)IND.CLI.physical_acute.rx5dayCLIAcute climate extremeshazardmmCOUNTRY, ADM1, GRID
极端湿润日降水量(R95pTOT)IND.CLI.physical_acute.very_wet_day_shareCLIAcute climate extremeshazard%COUNTRY, ADM1, GRID
最长连续干旱日数(CDD)IND.CLI.physical_acute.consecutive_dry_daysCLIAcute climate extremeshazarddCOUNTRY, ADM1, GRID
Assets vulnerable to climate-related physical risks, shareIND.CLI.physical_acute.physical_risk_vulnerable_assets.shareCLIAcute climate extremesexposure%SITE, PORTFOLIOIFRS_S2 29(c)
相对工业化前的预估升温IND.CLI.projection.projected_warmingCLIScenario projectionshazardKGLOBAL, REGION, COUNTRY, ADM1, GRID
最热日气温预估变化IND.CLI.projection.projected_txx_changeCLIScenario projectionshazardKCOUNTRY, ADM1, GRID
最大五日降水量预估变化IND.CLI.projection.projected_rx5day_changeCLIScenario projectionshazard%COUNTRY, ADM1, GRID
预估相对海平面上升IND.CLI.projection.projected_sea_level_riseCLIScenario projectionshazardmCOUNTRY, ADM1, CITY, SITE
低于未来 100 年一遇沿海洪水水位的人口占比IND.CLI.projection.slr_coastal_population_exposed.shareCLIScenario projectionsexposure%COUNTRY, ADM1, CITYWB_WDI EN.POP.EL5M.ZS
温室气体排放总量(不含 LULUCF)IND.CLI.emissions.ghg_totalCLIEmissionsexposureMt/aCOUNTRYWB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2
人均温室气体排放量IND.CLI.emissions.ghg_per_capitaCLIEmissionsexposuret/a/{person}COUNTRYWB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP
GDP 碳强度IND.CLI.emissions.carbon_intensity_gdpCLIEmissionsexposurekg/[USD]COUNTRYWB_WDI EN.GHG.CO2.RT.GDP.KD SDG 9.4.1
Financed emissions of a portfolioIND.CLI.emissions.financed_emissionsCLIEmissionsexposureMt/aPORTFOLIOIFRS_S2 29(a)(vi)
化石燃料租金,占 GDP 比重IND.CLI.transition.fossil_fuel_rents.gdpCLITransition exposureexposure%COUNTRYWB_WDI NY.GDP.PETR.RT.ZS WB_WDI NY.GDP.NGAS.RT.ZS WB_WDI NY.GDP.COAL.RT.ZS
燃料出口,占商品出口比重IND.CLI.transition.fossil_fuel_exports.shareCLITransition exposureexposure%COUNTRYWB_WDI TX.VAL.FUEL.ZS.UN
显性化石燃料补贴,占 GDP 比重IND.CLI.transition.fossil_fuel_subsidies.gdpCLITransition exposureexposure%COUNTRY
Assets vulnerable to climate-related transition risks, shareIND.CLI.transition.transition_risk_vulnerable_assets.shareCLITransition exposureexposure%PORTFOLIOIFRS_S2 29(b)
NDC 2030 全经济范围排放目标IND.CLI.transition.ndc_target_ambitionCLITransition exposureresponse%COUNTRYSDG 13.2.1
已提交国家适应计划IND.CLI.adaptation.nap_submittedCLIAdaptation readinessadaptive capacity{bool}COUNTRYSDG 13.2.1
适应投资的经济准备度IND.CLI.adaptation.economic_readinessCLIAdaptation readinessadaptive capacity{score}COUNTRYND_GAIN economic
适应的治理准备度IND.CLI.adaptation.governance_readinessCLIAdaptation readinessadaptive capacity{score}COUNTRYND_GAIN governance
适应的社会准备度IND.CLI.adaptation.social_readinessCLIAdaptation readinessadaptive capacity{score}COUNTRYND_GAIN social
人均获得的国际适应资金IND.CLI.adaptation.adaptation_finance_received.pcCLIAdaptation readinessadaptive capacity[USD]COUNTRY
07引用

Climate physical hazard index, world

The world reading of this index, every country as a tile and the largest movements since the previous edition.

NXS-GRX · CLI · 195 profiles · 0–10 scale
Climate physical hazard index, world
–
数值随版本发布;区间、类别和变化将显示在这里。
上一版
–
Range since 2016
–
耦合综合
–
耦合得分 S
–
脉搏,最近一周
–
Outlook, 12 months
–
方法
Indicator Standard 1.0 · NXS-GRX 2026
抽样次数
1,000
Climate physical hazard index, world, by edition

尚无已发布的数值。第一版发布后将在这里绘制历史,并附区间带和类别边界。

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.
暂无变动。 自第二版起,与上一版相比的变化将在此列出,并附上驱动这些变化的指标。
08数值

Country values

FIG 5 · Climate physical hazard index: countries (values when released)
正在加载地图
安道尔安提瓜和巴布达巴林巴巴多斯科摩罗佛得角多米尼克密克罗尼西亚(联邦)格林纳达基里巴斯圣基茨和尼维斯圣卢西亚列支敦士登摩纳哥马尔代夫马绍尔群岛马耳他毛里求斯瑙鲁帕劳新加坡圣马力诺圣多美和普林西比塞舌尔汤加图瓦卢教廷圣文森特和格林纳丁斯萨摩亚
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.
瓦片
/api/v1/public/grix/risk-products/tiles/cli/{z}/{x}/{y}.mvt
观测键
nis:IDX.CLI.physical_chronic.climate_physical_risk:{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
FAO_FAOSTAT1
UNDRR_HIPS_20251
WB_WDI1
11贯穿 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.

12引用

引用与再利用

GCRI Canada (2026). The Global Risks Index (NXS-GRX): Climate physical hazard index (GRX-IDX-CLI-PHYSICALCHRONIC), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/indices/climate-physical-risk/ UNI NXS-GRX-AR-000112.

See this index in every country profile

Each profile shows this index with its interval and class once released.