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Germany 2026

德国

Germany enters 2027 having cut its greenhouse-gas emissions to 649 Mt CO₂e in 2024, 3.4% below 2023 and 48% below 1990, while closing its last nuclear reactors in April 2023 and ending its reliance on Russian pipeline gas within a year. Renewables supplied about 54% of gross electricity consumption in 2024.

发现
12
each with its status and source
Sectors with findings
4 of 6
Infrastructure not assessed
Risk objects
4
order carries no rank
来源
40
Evidence close 30 September 2026

01 · Readings

Germany in six readings.

Six readings that frame the baseline, and the eight questions this edition answers, each with its status and source.

  • 83.6millionpopulation, end 2024 [6]
  • 649Mt CO₂eemissions, 2024 [1]
  • ≈54%renewable electricity, 2024 [7]
  • 10.9°Cmean temperature, 2024 record [8]
  • ≈54%homes with natural-hazard cover [13]
  • 500khectaresforest damaged, 2018–2021 [20]

02 · Sectors

Six sectors, one hexagon.

Water first, then Energy, Infrastructure, Food, Health and Biodiversity. Each count is the findings of this edition in that sector: coverage of the evidence, never a score. Infrastructure is not assessed: the edition holds no Infrastructure finding and its coupling matrix does not assess it.

  1. WAT水2 findings

    ≈44% Share of water abstraction for energy supply, 2019. 报告值

    Flash floods in small catchments; low Rhine water in dry summers; cooling the largest use.

  2. ENE能源2 findings

    ≈54% Renewable share of gross electricity consumption, 2024. 报告值

    About 54% renewable electricity; nuclear closed 2023; Russian gas replaced.

  3. INF基础设施not assessed

    Rail, roads and bridges destroyed in 2021; inland waterways exposed to low water.

  4. FOO食品0 findings

    ≈13% Share of EU agricultural output, 2024. 报告值

    A major EU producer; yields cut in dry years.

  5. HLT卫生1 finding

    ≈4,500 deaths Heat-related deaths, 2022. 报告值

    About 4,500 heat-related deaths in 2022; older people most exposed.

  6. BIO生物多样性2 findings

    >75% Decline in flying-insect biomass, protected areas, 1989–2016. 报告值

    Insect biomass down more than 75%; forests damaged 2018–2021.

Outside the six sectors: Climate forcing 3, Finance 1, Systemic 1.

03 · Hazard exposure

The hazards this edition reads.

The edition’s own risk objects, in its order, each read across driver, exposure, vulnerability, capacity, cascade and horizon. The hexagon marks the sectors the cascade reaches; the domain beside each is an editorial reading of its hazard words.

  • RSK-DEU-CLI-001

    Flash floods in small, steep catchments

    报告值EQL 4

    驱动因素
    stationary storms with extreme rainfall
    风险暴露
    valley towns in upland regions
    脆弱性
    short warning times; uninsured homes [13]
    能力
    flood forecasting; civil protection; reconstruction funds
    级联
    CLI → WAT → INF, HLT, FIN
    地平线
    年度

    水系统大气与天气

  • RSK-DEU-WAT-002

    Low water on the Rhine

    报告值EQL 4

    驱动因素
    dry summers; low snowmelt from the Alps
    风险暴露
    freight, chemical and steel supply chains
    脆弱性
    reliance on one waterway for bulk freight
    能力
    part-loading; rail and road diversion
    级联
    WAT → TRD → industry, ENE
    地平线
    seasonal

    No domain reading

  • RSK-DEU-CLI-003

    极端高温

    报告值EQL 4

    驱动因素
    heatwaves and tropical nights
    风险暴露
    older people; dense cities
    脆弱性
    housing without cooling; isolation
    能力
    heat-health warnings; heat action plans
    级联
    CLI → HLT · CLI → ENE
    地平线
    seasonal

    大气与天气

  • RSK-DEU-BIO-004

    Forest dieback under drought and pests

    报告值EQL 4

    驱动因素
    drought, heat and bark beetles
    风险暴露
    spruce-dominated forests
    脆弱性
    monocultures planted for cooler climates
    能力
    forest conversion programmes
    级联
    CLI → BIO → WAT, carbon
    地平线
    5–30 years

    水系统大气与天气

Scenario · SCN-DEU-HDR-01

Hot, dry summer with low Rhine water

Under this scenario, results describe a conditional season under stated assumptions. It is not a forecast, and no intervention described here has been carried out.

4 of 12 findings name a hazard in their text. Show them

  1. 1CLI → WATlow rainfall and snowmelt cut Rhine and Elbe levels
  2. 2WAT → TRDbarges sail part-loaded; freight costs rise
  3. 3TRD → industrychemical and steel plants cut output for lack of inputs
  4. 4CLI → HLTheat deaths among older people rise
  5. 5CLI → BIOforest fires and bark-beetle damage spread
  6. 6WAT → ENEcooling-water limits on thermal plants

04 · Couplings

How the sectors carry risk into each other.

The Germany matrix types the twenty couplings between the five core 系统. Strengths are Nexus estimates from the cited evidence and analogue events; they set the starting graph that the Q1 2027 Foundry cut will test.

Coupling matrix, from row to column
从WATENEFOOHLTBIO
WAT·StrongStrong中等Strong
ENE中等·StrongStrong中等
FOO中等Weak·StrongStrong
HLTWeakWeak中等·Weak
BIOStrong中等Strong中等·

Water: 4 couplings out, 4 in; Energy: 4 couplings out, 4 in; Food: 4 couplings out, 4 in; Health: 4 couplings out, 4 in; Biodiversity: 4 couplings out, 4 in. Infrastructure is not in the coupling matrix: none of the edition matrices types it, so it carries no value.

Cascade paths, in the edition’s order

  1. CLI → WAT → INF极端降雨 in small valleys destroys roads, rail and homes报告值
  2. CLI → WAT → TRDlow Rhine water restricts freight and industrial supply报告值
  3. ENE → industry → FINa gas supply shock raises costs across industry and households报告值
  4. CLI → BIO → WATdrought and bark beetles kill forests that regulate water报告值
  5. CLI → HLTheatwaves raise deaths among older people报告值

05 · Findings

Every finding of Germany.

Search, filter by sector, system or status, and sort. The address bar keeps the view, so a filtered list can be shared. Every row opens the finding at its source.

All 12 findings

Findings of Germany
ID版本Sector or system状态Statement
CLI-001德国CLI Climate forcing 报告值Greenhouse-gas emissions were 649 Mt CO₂e in 2024, 3.4% below 2023 and 48% below 1990.
CLI-002德国CLI Climate forcing 报告值The 2030 target of 65% below 1990 (about 438 Mt) requires cuts of about 35 Mt a year.
CLI-003德国CLI Climate forcing 报告值2024 was the warmest year in the German record, which begins in 1881.
WAT-004德国WAT 水 报告值The July 2021 floods killed more than 180 people in Germany, 135 in the Ahr valley, and caused damage of about €40 billion.
FIN-005德国FIN 金融 报告值Only about 54% of residential buildings carry natural-hazard insurance.
ENE-006德国ENE 能源 报告值Renewables supplied about 54% of gross electricity consumption in 2024; the last nuclear reactors closed in April 2023.
ENE-007德国ENE 能源 报告值Russian pipeline gas stopped in 2022; supply was secured through storage, new LNG terminals and demand reduction.
HLT-008德国HLT 卫生 报告值About 4,500 heat-related deaths were estimated in 2022.
WAT-009德国WAT 水 报告值Low water on the Rhine in 2018 and 2022 restricted freight shipping and industrial supply.
BIO-010德国BIO 生物多样性 报告值Flying-insect biomass declined by more than 75% over 27 years in protected areas.
BIO-011德国BIO 生物多样性 报告值About 500,000 hectares of forest were damaged by drought, heat and bark beetles between 2018 and 2021.
SYS-012德国SYS 系统性 Expert inputThe leading compound pathway for 2027 testing is a hot, dry summer in which low Rhine water cuts freight and industrial supply while heat, drought and forest fires load health, forests and power.

06 · Editions and calendar

The desks’ editions for Germany.

The desks’ editions for Germany
办事处版本状态标识符
GCRI Systems EvidenceGermany 2026Drafted, in stewardship reviewNR-COUNTRY-DEU-2026-BASELINE-v1.0.0
GRF Public DeliberationPublic Deliberation: Germany 2026筹备中
GRA Capital ReadinessCapital Readiness: Germany 2026筹备中
Standards ProgressNo edition in the 2026 Baseline cycleNot in this cycle
Academy CapabilityNo edition in the 2026 Baseline cycleNot in this cycle
Index MeasurementMeasurement: Germany 2026筹备中

Calendar · 2026 Baseline

  1. 01Call opensset by the editor
  2. 02Contribution closeset by the editor
  3. 03证据截止30 September 2026
  4. 04Desk review and releaseset by the editor
  5. 05Collection compilationset by the editor
  6. 06Collection releaseset by the editor
  7. 07更正after release, as needed

Evidence cut NQ-DEU-2026-Q0-1. Next cycles: Q1 2027, Q2 2027, Q3 2027, Q4 2027; their dates are set by the editor.

07 · Take part

Read it, improve it, cite it.

更正记录

Versions and corrections
版本日期状态变化通知
NR-COUNTRY-DEU-2026-BASELINE-v1.0.0October 2026DRAFTBaseline Edition 2026, inaugural annual edition,无
Data gaps3What the repository does not hold yet, and the source proposed for each
Data gaps and proposed sources
差距Shown here asProposed source
Exposure values per hazard (people, assets, hectares)the edition’s own risk objects, without valuesthe Index country profile once the Index releases values, risksindex.com/deu/
The NHS-1 hazard types and their assignment to this edition’s risk objectsan editorial reading of the hazard wordsthe NHS-1 type assignment through the Registry
Infrastructure in the coupling matrixInfrastructure marked not assessedan Infrastructure row and column in the edition matrix at the next cut
报告贡献

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报告 is the Consortium’s quarterly publication, written by six desks. This page sits with the Global Centre for Risk and Innovation (GCRI) 系统 证据编辑部。您对此主题的了解可以成为下一期的证据、案例或更正,署您的名,若为您本人的作品则以 CC BY 4.0 发布。若发送到错误的编辑部,会被转交,不会被拒绝。

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