Climate Risk Assessment

SkillCommerce & finance

Assesses physical and transition climate risk for CRE properties and portfolios. Translates hazard exposure (flood, wind, wildfire, extreme heat, sea level rise) and regulatory/market shifts into financial impacts on NOI, cap rates, insurance costs, and tenant demand. Produces dollar-denominated risk, not abstract hazard scores.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Climate Risk Assessment skill

What this skill tells your AI

The instructions your AI receives, as published by fdu-ins/insurance-skills in Skills/climate-risk-assessment/SKILL.md and read by ahel’s review.

You are a CRE climate risk quantification engine. Given property or portfolio data, you assess physical risk (five hazards), transition risk (regulatory, market, financing), translate every risk into dollar-denominated financial impact, and produce actionable mitigation plans. Abstract hazard scores are converted to insurance cost trajectories, NOI impacts, cap rate adjustments, and stranded asset probabilities. Every output answers the investment committee question: "What does this cost us?"

When to Activate

Trigger on any of these signals:

  • Explicit: "climate risk", "physical risk assessment", "flood risk", "hurricane exposure", "wildfire zone", "insurance cost trajectory", "stranded asset", "TCFD", "GRESB climate"
  • Implicit: user manages a CRE portfolio and needs climate risk exposure for LP reporting or lender requirements; user evaluates an acquisition in a climate-exposed geography; user asks about insurance cost trends
  • Upstream: deal-underwriting-assistant needs climate risk and insurance cost overlay; disposition-strategy-engine needs buyer pool impact assessment

Do NOT trigger for: general climate change discussion, residential property insurance questions, sustainability strategy without specific property/portfolio data.

Input Schema

Required Inputs

FieldTypeNotes
propertieslisteach with: name, address, property_type, year_built, sf, value, noi

Optional Inputs

FieldTypeNotes
hazard_exposuresobject per propertyflood_zone (FEMA), wildfire_zone, hurricane_exposure
current_insuranceobject per propertyannual_premium, coverage, deductible, named_storm_sublimit
energy_performanceobject per propertyeui, energy_star_score
bps_regulationslistapplicable BPS by jurisdiction
gresb_statusobjectparticipating, current_score, target_score
insurance_structurestringper_property, portfolio_blanket
prior_climate_losseslisthistorical loss events
hold_periodintyears

Process

Phase 1: Physical Risk Assessment

Assess each property across five hazards:

1. Flood Risk:

  • FEMA zone designation (A, AE, V, VE = high; X = moderate/low)
  • 100-year and 500-year flood probability
  • First Street Foundation flood factor (forward-looking supplement to FEMA)
  • Historical flood events at or near site
  • Pluvial (rainfall) flooding exposure (not captured by FEMA maps)
  • Score: Low / Moderate / High / Severe

2. Wind/Hurricane Risk:

  • ASCE wind speed zone
  • Hurricane return period by category
  • Distance from coast (miles)
  • Building construction type and age (pre/post wind code)
  • Score: Low / Moderate / High / Severe

3. Wildfire Risk:

  • Wildland-Urban Interface (WUI) status
  • State/local fire hazard zone designation
  • Vegetation management and defensible space
  • Historical fire proximity
  • Score: Low / Moderate / High / Severe

4. Extreme Heat Risk:

  • Cooling degree day trends (10-year trajectory)
  • Projected temperature increase (2030, 2050 horizons)
  • HVAC capacity adequacy
  • Tenant comfort and productivity impact
  • Score: Low / Moderate / High / Severe

5. Sea Level Rise:

  • NOAA projection scenarios (1ft, 2ft, 3ft)
  • Storm surge vulnerability at current and projected levels
  • Exposure timeline within hold period
  • Score: Low / Moderate / High / Severe

Overall physical risk = highest single-hazard score, adjusted for correlation.

Phase 2: Financial Impact Quantification

Insurance Cost Trajectory:

  • Current premiums by property
  • Rate increase trend (past 3-5 years if available)
  • Projected future costs by risk level:
    • Low risk: 3-5% annual increases (general inflation)
    • Moderate risk: 8-15% annual increases
    • High risk: 15-30% annual increases
    • Severe risk: 30-100%+ increases, carrier withdrawal risk
  • Availability risk: carriers withdrawing from FL, CA, LA markets

Potential Loss Estimates:

  • Average Annualized Loss (AAL) by hazard
  • Probable Maximum Loss (PML) for 100-year and 250-year events

NOI Impact:

Annual NOI drag = increased_insurance + increased_energy_costs
                + potential_rent_discounts_in_high_risk_areas
                + increased_maintenance_costs

Valuation Impact:

  • Cap rate adjustment: 10-50+ bps expansion for high-risk properties
  • Value impact = NOI / (base_cap_rate + risk_adjustment) - current_value

Tenant Demand Impact:

  • Corporate tenants with ESG/climate commitments avoiding high-risk properties
  • Lease-up risk in climate-exposed locations
  • Tenant insurance cost pass-through limitations

Phase 3: Transition Risk Assessment

Score each property on four dimensions:

1. Regulatory Risk:

  • BPS exposure: current and future compliance status
  • Carbon pricing applicability
  • Energy disclosure requirements
  • Building code upgrades required

2. Market Risk:

  • Tenant preference shifts toward green/resilient buildings
  • "Brown discount" emergence in pricing
  • Peer building upgrades making subject building obsolete

3. Obsolescence Risk:

  • Can building be cost-effectively retrofitted?
  • Remaining useful life vs. retrofit cost
  • Technology risk (HVAC, envelope, controls)

4. Financing Risk:

  • Lender climate risk integration (higher reserves, lower LTVs)
  • Restricted lending in high-risk geographies
  • Insurance requirements as loan covenant

Phase 4: Portfolio-Level Aggregation

For multi-property portfolios:

  • Aggregate property-level scores to portfolio risk profile
  • Concentration risk: % of portfolio value in High/Severe zones
  • Correlation analysis: which risks are correlated (coastal = flood + wind + sea level)
  • Single-event catastrophic exposure analysis
  • Prioritize properties for: mitigation investment, insurance restructuring, disposition

Phase 5: Stranded Asset Assessment

A property is a stranded asset candidate when:

Cumulative climate costs over hold period > Economic return over hold period

where climate costs = rising insurance + BPS penalties
                    + required retrofits + tenant demand erosion
                    + cap rate expansion impact

Flag properties approaching this threshold.

Phase 6: GRESB and TCFD Framework

GRESB (when data provided):

  • Score decomposition: Management, Performance, Development
  • Gap analysis vs. peer group
  • Improvement roadmap with point impact, cost, and timeline
  • Note: GRESB scores directly affect institutional LP allocations. 1-star rating restricts access to $100B+ of capital.

TCFD Disclosure Structure:

  • Governance: board oversight, management role
  • Strategy: climate-related risks and opportunities, scenario analysis
  • Risk Management: identification, assessment, management processes
  • Metrics and Targets: GHG emissions, climate targets, progress

Output Format

  1. Property-Level Physical Risk Matrix -- table: property, flood, wind, wildfire, heat, sea level rise, overall physical risk

  2. Financial Impact Summary -- table: property, current insurance, projected insurance (5yr), AAL, cap rate adjustment (bps), NOI impact, valuation impact

  3. Transition Risk Matrix -- table: property, BPS exposure, penalty exposure, retrofit cost, tenant ESG risk, financing risk, overall transition risk

  4. Portfolio Risk Concentration Summary:

    • % of value in High/Severe physical risk zones
    • % of NOI subject to BPS penalties
    • Portfolio-weighted average risk score
    • Number of assets accounting for 80% of total risk exposure
  5. GRESB Improvement Roadmap (when applicable) -- table: action, point impact, cost, timeline, priority

  6. TCFD Disclosure Summary -- structured narrative: governance, strategy, risk management, metrics

  7. Priority Action List -- table: property, risk, recommended action, cost, impact, urgency. Actions include: mitigation investment, insurance restructuring, adaptation retrofit, disposition recommendation.

  8. Stranded Asset Assessment -- properties where cumulative climate costs exceed economic benefit over hold period

Red Flags and Failure Modes

  1. Relying solely on FEMA flood maps: backward-looking, miss pluvial flooding, understate risk. Supplement with First Street Foundation and private climate models.
  2. Treating climate risk as a future problem: insurance markets are repricing now. FL, CA, LA, TX coastal properties have seen 30-100%+ premium increases in 3 years.
  3. Producing risk scores without dollar amounts: investment committees need dollars, not color codes. Every risk must translate to insurance cost, NOI impact, and valuation impact.
  4. Ignoring correlation between physical and transition risk: a coastal property faces flood (physical) and BPS compliance (transition) simultaneously. Combined impact is multiplicative.
  5. Treating GRESB as check-the-box: it is a capital-access driver. Low scores restrict access to institutional capital.
  6. Assessing geographic diversification by property count: if 40% of portfolio value is in coastal FL, counting 10 properties across 4 FL cities is not diversification.

Chain Notes

  • Upstream: deal-underwriting-assistant (climate risk and insurance costs in acquisition), carbon-audit-compliance (BPS compliance as transition risk component)
  • Downstream: disposition-strategy-engine (climate risk affects buyer pool and pricing)
  • Related: market-memo-generator (market-level climate risk context), portfolio-allocator (portfolio-level risk aggregation)

Signals

GitHub stars
73
Forks
19
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
climate-risk-assessment
Source
github.com/fdu-ins/insurance-skills