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

気候の物理的ハザード指数

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

不確実性

1,000 draws

normalisation, weights, aggregation

構成

3 components

16 leaf indicators

対象範囲

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
グラフ
01指標
02Sub-indices
03Domain index
04柱
05総合
100%
索引
  1. 産業革命前からの地表温暖化
    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. 年間降水量の変化
    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. 相対的海面上昇率
    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. 年最高気温(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. 暖かい日の割合(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. 猛暑日(35 °C 以上)の変化
    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. 暖候期の継続期間(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. 年最大 5 日間降水量(Rx5day)
    Indicator · IND · mm
    Maximum consecutive five-day precipitation total of the year (ETCCDI-style Rx5day).
  10. 非常に湿潤な日の降水量(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. 最長連続無降水日数(CDD)
    Indicator · IND · d
    Maximum number of consecutive days in the year with precipitation below 1 mm (ETCCDI-style CDD).
  12. 産業革命前からの予測温暖化
    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. 年最高気温の予測変化
    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 5 日間降水量の予測変化
    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. 予測される相対的海面上昇
    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. 将来の 100 年確率の沿岸洪水水位より低い場所の人口(割合)
    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. 気候の物理的ハザード指数
    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. ハザードと脅威へのエクスポージャー
    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
未実行進行中完了
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
–
ブラウザで動作
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手法

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
不確実性
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)
非常に低い0.0〜< 2.0
低い2.0〜< 3.5
中程度3.5〜< 5.0
高い5.0〜< 6.5
非常に高い6.5 から 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.

指標単位エビデンス出典割合
産業革命前からの地表温暖化IND.CLI.physical_chronic.warming_since_preindustrialKClass Cberkeley-earth, copernicus-era5, noaa-globaltemp, fao-faostat-temperature-change33.3%
年間降水量の変化IND.CLI.physical_chronic.precipitation_change%Class Cgpcc, cru-ts, copernicus-era533.3%
相対的海面上昇率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.

指標単位エビデンス出典割合
年最高気温(TXx)IND.CLI.physical_acute.txxCelClass Chadex3, copernicus-era5, national-met-services12.5%
暖かい日の割合(TX90p)IND.CLI.physical_acute.tx90p%Class Chadex3, copernicus-era512.5%
猛暑日(35 °C 以上)の変化IND.CLI.physical_acute.hot_days_changed/aClass Ccopernicus-era5, hadex312.5%
暖候期の継続期間(WSDI)IND.CLI.physical_acute.warm_spell_durationd/aClass Chadex3, copernicus-era512.5%
年最大日降水量(Rx1day)IND.CLI.physical_acute.rx1daymmClass Chadex3, gpcc-full-data-daily, copernicus-era512.5%
年最大 5 日間降水量(Rx5day)IND.CLI.physical_acute.rx5daymmClass Chadex3, gpcc-full-data-daily, copernicus-era512.5%
非常に湿潤な日の降水量(R95pTOT)IND.CLI.physical_acute.very_wet_day_share%Class Chadex3, copernicus-era512.5%
最長連続無降水日数(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.

指標単位エビデンス出典割合
産業革命前からの予測温暖化IND.CLI.projection.projected_warmingKClass Cipcc-ar6-interactive-atlas, cmip6, wb-cckp20.0%
年最高気温の予測変化IND.CLI.projection.projected_txx_changeKClass Cipcc-ar6-interactive-atlas, cmip620.0%
最大 5 日間降水量の予測変化IND.CLI.projection.projected_rx5day_change%Class Cipcc-ar6-interactive-atlas, cmip620.0%
予測される相対的海面上昇IND.CLI.projection.projected_sea_level_risemClass Cipcc-ar6-sea-level-projections, nasa-sea-level-projection-tool20.0%
将来の 100 年確率の沿岸洪水水位より低い場所の人口(割合)IND.CLI.projection.slr_coastal_population_exposed.share%Class Dipcc-ar6-sea-level-projections, deltares-gtsr, jrc-ghsl-ghs-pop20.0%
05分野

気候

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

Sub-domain指標
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指標

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.
指標分野Sub-domain構成要素単位レベルCrosswalks
産業革命前からの地表温暖化IND.CLI.physical_chronic.warming_since_preindustrialCLIChronic physical changehazardKGLOBAL, REGION, COUNTRY, ADM1, GRIDFAO_FAOSTAT ET
年間降水量の変化IND.CLI.physical_chronic.precipitation_changeCLIChronic physical changehazard%COUNTRY, ADM1, GRID
相対的海面上昇率IND.CLI.physical_chronic.relative_sea_level_trendCLIChronic physical changehazardmm/aCOUNTRY, ADM1, CITY, SITEUNDRR_HIPS_2025 EN0402
年最高気温(TXx)IND.CLI.physical_acute.txxCLIAcute climate extremeshazardCelCOUNTRY, ADM1, CITY, GRID
暖かい日の割合(TX90p)IND.CLI.physical_acute.tx90pCLIAcute climate extremeshazard%COUNTRY, ADM1, GRID
猛暑日(35 °C 以上)の変化IND.CLI.physical_acute.hot_days_changeCLIAcute climate extremeshazardd/aCOUNTRY, ADM1, CITY, GRID
暖候期の継続期間(WSDI)IND.CLI.physical_acute.warm_spell_durationCLIAcute climate extremeshazardd/aCOUNTRY, ADM1, GRID
年最大日降水量(Rx1day)IND.CLI.physical_acute.rx1dayCLIAcute climate extremeshazardmmCOUNTRY, ADM1, CITY, GRID
年最大 5 日間降水量(Rx5day)IND.CLI.physical_acute.rx5dayCLIAcute climate extremeshazardmmCOUNTRY, ADM1, GRID
非常に湿潤な日の降水量(R95pTOT)IND.CLI.physical_acute.very_wet_day_shareCLIAcute climate extremeshazard%COUNTRY, ADM1, GRID
最長連続無降水日数(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)
産業革命前からの予測温暖化IND.CLI.projection.projected_warmingCLIScenario projectionshazardKGLOBAL, REGION, COUNTRY, ADM1, GRID
年最高気温の予測変化IND.CLI.projection.projected_txx_changeCLIScenario projectionshazardKCOUNTRY, ADM1, GRID
最大 5 日間降水量の予測変化IND.CLI.projection.projected_rx5day_changeCLIScenario projectionshazard%COUNTRY, ADM1, GRID
予測される相対的海面上昇IND.CLI.projection.projected_sea_level_riseCLIScenario projectionshazardmCOUNTRY, ADM1, CITY, SITE
将来の 100 年確率の沿岸洪水水位より低い場所の人口(割合)IND.CLI.projection.slr_coastal_population_exposed.shareCLIScenario projectionsexposure%COUNTRY, ADM1, CITYWB_WDI EN.POP.EL5M.ZS
LULUCF を除く温室効果ガス総排出量IND.CLI.emissions.ghg_totalCLIEmissionsexposureMt/aCOUNTRYWB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2
1 人あたり温室効果ガス排出量IND.CLI.emissions.ghg_per_capitaCLIEmissionsexposuret/a/{person}COUNTRYWB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP
GDP の炭素集約度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)
化石燃料レント(GDP 比)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
燃料輸出(商品輸出に占める割合)IND.CLI.transition.fossil_fuel_exports.shareCLITransition exposureexposure%COUNTRYWB_WDI TX.VAL.FUEL.ZS.UN
明示的な化石燃料補助金(GDP 比)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 経済全体の排出目標IND.CLI.transition.ndc_target_ambitionCLITransition exposureresponse%COUNTRYSDG 13.2.1
国家適応計画の提出IND.CLI.adaptation.nap_submittedCLIAdaptation readinessadaptive capacity{bool}COUNTRYSDG 13.2.1
適応投資に向けた経済的準備度IND.CLI.adaptation.economic_readinessCLIAdaptation readinessadaptive capacity{score}COUNTRYND_GAIN economic
適応に向けたガバナンスの準備度IND.CLI.adaptation.governance_readinessCLIAdaptation readinessadaptive capacity{score}COUNTRYND_GAIN governance
適応に向けた社会的準備度IND.CLI.adaptation.social_readinessCLIAdaptation readinessadaptive capacity{score}COUNTRYND_GAIN social
1 人あたり国際適応資金の受取額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
–
値は版とともに公開され、区間、区分、変化がここに表示されます。
前回の版
–
Range since 2016
–
結合総合
–
結合スコア S
–
パルス、直近 1 週間
–
Outlook, 12 months
–
手法
Indicator Standard 1.0 · NXS-GRX 2026
抽出
1,000
Climate physical hazard index, world, by edition

公開済みの値はまだありません。最初の版で、区間の帯と区分の境界とともに履歴がここに描かれます。

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.
変動はまだありません。 前版からの変化は、第 2 版以降、その要因となった指標とともにここに掲載されます。
08値

Country values

FIG 5 · Climate physical hazard index: countries (values when released)
地図を読み込み中
アンドラアンティグア・バーブーダバーレーンバルバドスコモロカーボベルデドミニカ国ミクロネシア連邦グレナダキリバスセントクリストファー・ネーヴィスセントルシアリヒテンシュタインモナコモルディブマーシャル諸島マルタモーリシャスナウルパラオシンガポールサンマリノサントメ・プリンシペセーシェルトンガツバルバチカンセントビンセント及びグレナディーン諸島サモア
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.
タイル
/api/v1/public/grix/risk-products/tiles/cli/{z}/{x}/{y}.mvt
観測キー
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
11Nexus 全体で

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

引用と再利用

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.