A01 · TOPIC · climate-and-nature-riskGRA dossier · service level R0
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Topic dossier · Insurance Nexus

Climate and nature risk

Climate change shifts the frequency, intensity and location of the hazards insurers cover, and nature loss removes buffers such as wetlands, mangroves and forests that once reduced damage. Together they change what is insurable, at what price and for whom. This page sets out how physical climate and nature risk reach insurance portfolios, how they are measured and stressed, and which institutions hold the decisions on capital, cover and adaptation.

Systems · around this subjectDesign, not a record

Protection gap and claims surge

Climate and nature risk · Coastal portfolio · Event scenario EV-09

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  • Adjusters deployed
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Surge plan activatedGRA · Insurance Nexus

Economic loss by who bears it

  • Insured
  • Public
  • Uninsured
Protection gap and claims surge: the screen's structure, terms and states for Climate and nature risk.Placeholder names and illustrative values; a design, not a record or a live system.

Fig.Protection gap and claims surge. Design wireframe with placeholder names and illustrative values, not a record or a live system.

01In brief

The short answer.

Climate and nature risk in insurance is the change in insured loss and insurability as climate change shifts hazards and nature loss removes buffers such as wetlands, mangroves and forests. It reaches insurers through underwriting and through their investments, and supervisors test it with climate scenarios such as those published by the NGFS.

02Spatial finance

Exposure, hazard and the exceedance curve.

Which places drive loss in a severe year, and how far it reaches into reinsurance. Illustrative design values.

Coastal exposure under cyclone and earthquake zones, beside the loss curve it produces.Illustrative design values, not a model output or a price.
03The question

Climate and nature risk: how the risk develops.

Physical exposure and insurability. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Shifting hazard baselines

Warmer air and seas intensify heavy rain, heat, drought, wildfire weather and coastal flooding. Models calibrated on the past record understate risk if the baseline moves faster than they are recalibrated.

Mechanism

Exposure growth in hazard zones

Development in floodplains, on coasts and at the wildland-urban interface raises insured values where hazard is rising. Exposure growth often contributes more to loss trends than the change in hazard itself.

Mechanism

Loss of natural protection

Degraded wetlands, reefs, mangroves and forests stop absorbing surge, flood and fire. Nature-related risk also reaches insurers through underwriting and investment exposure to sectors that depend on ecosystems.

Mechanism

Insurability thresholds

When expected loss and its uncertainty rise, insurers raise prices, narrow terms or withdraw. Residual market plans and public schemes absorb what remains, shifting risk from private to public balance sheets.

04Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Physical climate riskFinancial risk from the direct effects of climate change, both acute events such as storms and floods and chronic shifts such as sea-level rise.
Transition riskFinancial risk from the shift to a lower-carbon economy, through policy, technology, market and reputational change.
Climate scenario analysisAssessing how a portfolio would perform under a set of plausible climate and policy pathways, rather than forecasting one outcome.
InsurabilityWhether a risk can be insured at a premium that is both adequate for the insurer and affordable for the buyer, given its size, frequency and uncertainty.
Nature-related riskRisk to an organisation from its dependencies and impacts on nature, as the TNFD recommendations frame it.
05Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Average annual loss under climate scenariocurrency per yearper scenarioCatastrophe model with adjusted hazardMODELLED
Change in exceedance probability losspercent change against baselineper scenarioClimate-conditioned catastrophe modelMODELLED
Insurer-initiated non-renewal ratepercent of policies not renewedannualSupervisory market conduct dataOFFICIAL
Residual market plan policies in forcepoliciesquarterlyPlan administrator reportsOFFICIAL
Hazard intensity at stated return periodphysical unit per hazard, such as millimetres of rainper scenarioClimate model ensemblesMODELLED
Climate stress test capital impactchange in solvency ratio, percentage pointsper exerciseSupervisory stress testsOFFICIAL
Natural buffer extenthectares of wetland, mangrove or reefannualSatellite land coverOBSERVED
06Canvas

From sources to decisions.

The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.

Pipeline canvas · Climate and nature risk as a run graphDesign, not a record
Climate and nature risk: climate scenario analysis pipelineOrderly, disorderly and hot house scenarios supply pathways for carbon prices and macro variables; transition and physical channels change sector and asset outcomes; credit parameters and portfolio losses follow, and results are disclosed with their limits. Design of the process, not a record of a run.

Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.

07Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
Copernicus Climate Data Store (ERA5 and CMIP6 projections)Reanalysis and climate projections for conditioning hazardFree and open, attribution
NOAA National Centers for Environmental InformationClimate records, extremes and storm dataPublic domain
NGFS climate scenariosReference transition and physical risk scenarios for supervisorsPublic, attribution
EIOPA climate stress test and sensitivity analysis publicationsMethods and aggregate results of climate exercises for European insurersPublic, EU reuse terms
NAIC Climate Risk Disclosure Survey responsesInsurer climate disclosures aligned with TCFD in the United StatesPublic
Global Mangrove Watch and ESA WorldCoverExtent and change of natural buffers from satelliteFree and open, attribution
Gallagher Re Natural Catastrophe and Climate ReportAnnual review of catastrophe losses and their climate driversProprietary, published report free to read
08Decisions

Who decides, and what the evidence serves.

Insurance Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Insurers and reinsurersHow climate change affects underwriting appetite, pricing, reinsurance and capital over the planning horizonClimate-conditioned exceedance curves, ORSA scenario analysis and sensitivity to hazard and exposure assumptions
Insurance supervisors and central banksHow to design climate stress tests and supervisory expectationsScenario sets, sector exposure and the methods in EIOPA, IAIS and NGFS guidance
Governments and residual market plansHow to respond to withdrawal: subsidies, mandates, building codes, managed retreat or public reinsuranceAvailability, affordability and loss evidence by area, with the cost of each response
Planning and environmental authoritiesWhere restoring natural buffers or limiting development reduces long-term riskHazard reduction from natural buffers and exposure growth by zone

Outputs this topic produces

  • Guide to conditioning catastrophe models on climate scenarios with the uncertainty stated
  • Brief on insurability thresholds and the shift of risk to public schemes
  • Method note on nature-related exposure in underwriting and investments
  • Evidence-to-diligence checklist for climate scenario analysis in the ORSA
09Core questions

What professionals ask.

  • How is climate change altering the frequency and severity of insured perils?
  • Where could rising risk make cover unaffordable or unavailable?
  • How can risk reduction and adaptation keep risks insurable?
  • How does nature loss affect exposure, for example through degraded wetlands, reefs and forests?
  • How should forward-looking climate information be used alongside historical data?
10Mechanisms

Drivers and dynamics.

Climate science has established that warming increases the likelihood of some extremes, such as heatwaves and heavy rainfall, and raises sea levels, increasing coastal flood risk. Attribution of specific events and trends varies by hazard and region, and natural variability remains large. For insurers, the consequence is that historical loss data increasingly understates current and future risk for some perils.

Insurability depends on whether risk can be estimated and priced at a level buyers can afford. In some areas, rising risk is already leading to higher premiums, reduced cover or market withdrawal. Ecosystems such as mangroves, reefs and wetlands reduce hazard impacts, so their loss increases exposure, while nature-based solutions can reduce it. Risk reduction, through building standards, land-use planning and defences, is essential to maintaining insurability.

11Methods and limits

How it is studied.

  1. 01

    Climate-conditioned models

    Adjusting catastrophe models with climate projections from climate and atmospheric science.

  2. 02

    Scenario analysis

    Exploring insurability under different warming and adaptation pathways.

  3. 03

    Nature-risk assessment

    Assessing how ecosystem condition affects hazard and exposure, drawing on Biodiversity Nexus at The Global Centre for Risk and Innovation (GCRI).

  4. 04

    Limits

    Climate projections are uncertain at local scales, adaptation responses are hard to predict, and links between nature and losses are still being quantified.

12Methods

How it is studied, and what the methods cannot say.

13Questions

Questions and answers.

Can catastrophe models include climate change?
Yes, by conditioning hazard catalogues on current or projected climate, but each method adds assumptions. Results should be shown as scenarios with their uncertainty, not as forecasts.
How do TCFD and IFRS S2 relate?
The TCFD recommendations set the structure of climate disclosure. IFRS S2 from the ISSB builds on them as a disclosure standard that jurisdictions can adopt, with more specific requirements.
What makes a risk uninsurable?
Commonly cited conditions are expected loss too high for an affordable premium, uncertainty too wide to price, losses too correlated to pool, or adverse selection and moral hazard too strong to control.
What do IFRS S2 and the TNFD recommendations ask insurers to disclose?
IFRS S2 asks for climate-related risks and opportunities, including scenario analysis and, for financial firms, financed emissions. The TNFD recommendations ask for nature-related dependencies, impacts, risks and opportunities in a similar governance, strategy, risk and metrics structure.
Is climate change making all hazards worse?
No. Effects differ by hazard and region. Some extremes are clearly increasing; for others, evidence is mixed.
Can risks become uninsurable?
Where risk rises beyond what buyers can afford or insurers can estimate, cover can become unavailable. Risk reduction helps prevent this.
Does GRA advise on climate risk disclosure?
No. It provides shared sector-level evidence, not advice to firms.
Does GRA give advice on this topic?
No. GRA does not underwrite, sell, solicit, negotiate, place or broker insurance, and it does not rate, advise on or arrange transactions. Readiness work is not approval. Its analysis is shared, sector-level understanding.
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