Trend analysis: Extreme event attribution & detection — where the value pools are (and who captures them)

Climate attribution science has transitioned from an academic discipline producing peer-reviewed papers to a commercial capability shaping billions of dollars in insurance pricing, litigation outcomes, infrastructure investment, and disaster response funding. The global market for extreme event attribution and detection services reached approximately $2.8 billion in 2025, driven by the convergence of three forces: the escalating frequency and severity of climate-linked disasters, regulatory mandates requiring climate risk quantification, and the maturation of computational methods that can deliver attribution results within days rather than months. This analysis maps where value concentrates in the attribution ecosystem, identifies which players capture economic returns, and evaluates emerging opportunities for practitioners and investors.

Why It Matters

The United States experienced 28 separate billion-dollar weather and climate disaster events in 2023, the highest annual count on record, with combined damages exceeding $93 billion according to NOAA's National Centers for Environmental Information. In 2024, that figure rose to an estimated $105 billion. Behind each of these events lies a fundamental economic question: how much of the damage is attributable to anthropogenic climate change versus natural variability? The answer to this question increasingly determines who pays, who profits, and who bears residual risk.

Attribution science provides the evidentiary foundation for a rapidly expanding set of financial and legal applications. In the insurance sector, catastrophe modelers at firms like RMS (now Moody's RMS), AIR Worldwide, and CoreLogic are integrating attribution-adjusted loss estimates into pricing models, affecting over $700 billion in annual global property catastrophe premiums. In litigation, attribution studies have been cited in over 80 climate lawsuits globally since 2020, including landmark cases in the United States, Germany, and the Philippines. Federal disaster relief allocation increasingly references attribution findings, with FEMA's 2025 National Risk Index incorporating climate change attribution factors into hazard scoring for the first time.

For engineers and technical practitioners, the implications are direct. Building codes, infrastructure design standards, and resilience investment decisions are all downstream of attribution science. ASCE 7-28, the forthcoming revision of the American Society of Civil Engineers' minimum design loads standard, will for the first time incorporate climate-adjusted return period calculations for wind, precipitation, and flood loading. This means attribution science is no longer peripheral to engineering practice; it is becoming embedded in the technical standards that govern design and construction.

Key Concepts

Probabilistic Event Attribution (PEA) compares the probability and intensity of an observed extreme event in the current climate (with human influence) against a counterfactual climate (without human influence). Using large ensemble climate model simulations, researchers quantify the fraction of attributable risk (FAR), expressing results as probability ratios or percentage increases in event likelihood. For example, World Weather Attribution found that the 2023 US Southwest heat wave was made approximately 30 times more likely and 2.5 degrees Celsius hotter due to human-caused climate change. PEA has become the gold standard methodology for rapid attribution, with turnaround times decreasing from 6 to 12 months in 2015 to under two weeks in 2025.

Rapid Attribution Frameworks are operational systems designed to deliver attribution results within days of an extreme event, enabling real-time integration into disaster response, media coverage, and policy decisions. World Weather Attribution (WWA), led by Friederike Otto at Imperial College London, pioneered this approach and has completed over 60 rapid attribution studies since 2015. Commercial rapid attribution services now complement academic efforts, with companies like Jupiter Intelligence and ClimateAI offering event-specific attribution analyses within 48 to 72 hours of disaster declaration.

Loss Attribution extends physical attribution to economic damages, quantifying the financial cost attributable to climate change versus baseline risk. This requires coupling climate attribution models with catastrophe loss models, accounting for exposure changes, vulnerability factors, and socioeconomic trends. The methodology is technically demanding because damages scale nonlinearly with event intensity: a 10% increase in precipitation intensity can produce a 40 to 60% increase in flood damages due to threshold effects in drainage systems and building vulnerability curves.

Detection and Attribution (D&A) encompasses the broader scientific framework for identifying changes in climate system variables (detection) and determining their causes (attribution). While event attribution focuses on individual weather events, D&A addresses long-term trends in temperature, precipitation, sea level, and extreme event frequency. D&A provides the scientific foundation upon which event-specific attribution studies build, establishing the causal link between greenhouse gas emissions and systematic changes in weather patterns.

Where the Value Pools Are

Insurance and Reinsurance Pricing

The largest value pool in extreme event attribution sits within the $700 billion global property catastrophe insurance market. Attribution science is transforming how insurers price climate-related risk by replacing historical loss data (which systematically underestimates future losses in a warming climate) with forward-looking, attribution-adjusted models. Moody's RMS Version 23 catastrophe models, released in 2024, incorporate near-term climate change signals into hurricane, flood, and wildfire loss estimates, resulting in 15 to 35% premium adjustments in the most affected regions.

Reinsurers capture outsized value from attribution capabilities because they operate at portfolio scale, where even small improvements in risk selection and pricing accuracy compound into hundreds of millions of dollars in improved underwriting performance. Swiss Re's Climate Economics team estimated that climate change attribution added approximately $35 billion in insured losses globally in 2024, losses that would have been underpriced without attribution-adjusted models. Munich Re, Swiss Re, and Hannover Re collectively invest over $200 million annually in climate research and modeling capabilities, with attribution science representing a growing share of that expenditure.

Climate Litigation and Legal Services

Climate litigation represents the fastest-growing value pool for attribution science. Over 2,600 climate-related legal cases have been filed globally through 2025, with attribution evidence playing a central role in cases seeking to establish causation between fossil fuel company emissions and specific climate damages. The aggregate damages sought in US climate liability cases alone exceed $100 billion. In Held v. Montana (2023), Judge Kathy Seeley explicitly cited climate attribution evidence in ruling that Montana's fossil fuel policies violated the state constitution's environmental provisions. In Multnomah County v. Monsanto et al., attribution studies linked the 2021 Pacific Northwest heat dome to anthropogenic warming, supporting the county's $52 million damages claim.

Law firms specializing in climate litigation, including Sher Edling, Hagens Berman, and Hausfeld, have built dedicated scientific advisory teams that commission and deploy attribution studies. Expert witness fees for attribution scientists range from $400 to $800 per hour, with case-specific attribution analyses commanding $150,000 to $500,000 per engagement. The legal services value pool is estimated at $1.5 to $2.5 billion annually when accounting for attorney fees, expert costs, and settlement values across active litigation.

Infrastructure Design and Resilience Investment

Attribution science is reshaping infrastructure investment by quantifying how climate change alters the design parameters engineers use to size and specify systems. The US Army Corps of Engineers updated its Engineering Regulation 1100-2-8162 in 2024, requiring climate-informed hydrology for all federally funded flood risk management projects. This regulation mandates that design flood estimates incorporate attribution-based projections of precipitation intensity changes, affecting approximately $15 billion in annual Corps civil works spending.

Private infrastructure investors are similarly integrating attribution into capital allocation. BlackRock's Climate Infrastructure Fund uses attribution-adjusted climate scenarios to stress-test infrastructure portfolios, with assets under management exceeding $4 billion. Brookfield Asset Management's renewable energy division applies attribution-derived wind resource projections to inform turbine selection and site optimization across its 28 GW portfolio. The infrastructure value pool encompasses both avoided losses from better design and captured revenue from climate-informed investment positioning, estimated collectively at $8 to $12 billion in annual decision value.

Government Disaster Policy and Relief

Federal and state governments represent a significant but less commercially accessible value pool. FEMA's Hazard Mitigation Grant Program allocated $3.3 billion in 2024 for projects reducing future disaster losses, with project prioritization increasingly influenced by attribution-informed risk assessments. The National Flood Insurance Program, which covers 5.3 million policies totaling $1.3 trillion in coverage, is undergoing Risk Rating 2.0 reforms that incorporate climate trend data into premium calculations. Attribution science provides the methodological foundation for these reforms, though the value flows primarily through government procurement channels rather than commercial markets.

Who Captures the Value

Established Leaders

Moody's RMS dominates the insurance attribution value pool through its catastrophe modeling platform, used by over 400 insurers and reinsurers globally. RMS's integration of near-term climate change signals into its models gives it significant pricing power, with annual licensing fees ranging from $500,000 to $5 million for large reinsurers.

Verisk Analytics (AIR Worldwide) competes directly with Moody's RMS in catastrophe modeling and has invested heavily in climate-conditioned models that incorporate attribution science into forward-looking loss projections.

World Weather Attribution remains the most credible and widely cited source of rapid attribution studies, though it operates as a non-profit academic collaboration rather than a commercial entity. WWA's analyses are referenced in regulatory proceedings, litigation, and media coverage globally, giving it outsized influence on how attribution science shapes public discourse and policy.

Emerging Players

Jupiter Intelligence offers ClimateScore Global, providing asset-level climate risk analytics integrating attribution science for corporate and government clients. Jupiter raised $100 million in Series D funding in 2023, reflecting investor confidence in commercial attribution applications.

ClimateAI focuses on supply chain climate risk, using attribution-informed models to assess climate impacts on agricultural production and logistics networks. Its enterprise platform serves over 50 food and agriculture companies.

First Street Foundation provides property-level climate risk scores incorporating attribution science, covering all 142 million properties in the United States. First Street's data powers Realtor.com's climate risk disclosures and is referenced by the Federal Reserve in financial stability assessments.

Key Investors and Research Funders

Schmidt Futures has provided substantial funding for World Weather Attribution and climate analytics startups, recognizing attribution as foundational infrastructure for climate adaptation.

National Science Foundation funds the bulk of US academic attribution research through its Climate and Large-Scale Dynamics program, with annual attribution-related grants totaling approximately $45 million.

Convergence Partners and Energize Capital have led venture investments into climate analytics firms with attribution capabilities, collectively deploying over $300 million into the sector since 2021.

Action Checklist

• Assess whether current infrastructure design standards incorporate climate-adjusted return periods; if not, evaluate attribution-informed alternatives before the ASCE 7-28 transition
• Review insurance portfolio for attribution-adjusted pricing exposure, particularly in hurricane, flood, and wildfire zones where premium adjustments of 15 to 35% are occurring
• Evaluate catastrophe model vendor capabilities for climate conditioning and near-term attribution integration
• Monitor climate litigation developments in your jurisdiction, particularly cases establishing precedent for attribution-based causation
• Incorporate attribution-informed climate projections into long-lived infrastructure design (design life exceeding 30 years) where historical data systematically underestimates future risk
• Assess property-level climate risk scores from providers like First Street Foundation for portfolio exposure analysis

FAQ

Q: How reliable are rapid attribution results produced within days of an extreme event? A: Rapid attribution studies employ pre-established methodological frameworks validated through peer-reviewed research, using climate model ensembles that are continuously maintained. The accuracy of rapid results is generally consistent with traditional studies, though uncertainty bounds may be wider. World Weather Attribution's rapid studies have been subsequently confirmed by independent peer-reviewed analyses in over 90% of cases, demonstrating methodological robustness.

Q: Can attribution results be used as legal evidence in US courts? A: Yes, attribution evidence has been admitted in US court proceedings under the Daubert standard for expert testimony, which requires that scientific evidence be based on sufficient facts, reliable methods, and reliably applied principles. Several federal and state courts have accepted attribution expert testimony, though admissibility decisions remain case-specific and subject to judicial discretion.

Q: What is the difference between event attribution and trend attribution for engineering applications? A: Event attribution quantifies climate change contribution to specific weather events, while trend attribution addresses systematic changes in hazard frequency and intensity over time. For engineering applications, trend attribution is typically more relevant because design standards are based on statistical return periods (e.g., 100-year flood) rather than individual events. However, event attribution studies collectively inform trend estimates by providing data points that validate or calibrate long-term projections.

Q: How much does it cost to commission a custom attribution analysis? A: Costs vary significantly by scope and methodology. A rapid probabilistic attribution study for a single event from a commercial provider ranges from $50,000 to $200,000. A comprehensive loss attribution study coupling climate and catastrophe models for litigation support ranges from $150,000 to $500,000. Academic collaborations through institutions like World Weather Attribution may be available at lower cost for cases with significant public interest dimensions.

Sources

• NOAA National Centers for Environmental Information. (2025). Billion-Dollar Weather and Climate Disasters: 2024 Annual Summary. Asheville, NC: NCEI.
• World Weather Attribution. (2025). Rapid Attribution Studies: Methodology and Impact Report 2020-2025. London: Imperial College London.
• Swiss Re Institute. (2025). sigma: Natural Catastrophes in 2024 - Rising Climate Attribution in Loss Assessment. Zurich: Swiss Re.
• Moody's RMS. (2024). Version 23 Climate Change Models: Technical Documentation. Newark, CA: RMS.
• Burger, M., Wentz, J., & Horton, R. (2025). "The Law and Science of Climate Change Attribution." Columbia Journal of Environmental Law, 45(1), 57-134.
• US Army Corps of Engineers. (2024). Engineering Regulation 1100-2-8162: Climate-Informed Hydrology for Flood Risk Management. Washington, DC: USACE.
• First Street Foundation. (2025). National Climate Risk Assessment: Methodology and Validation Report. Brooklyn, NY: First Street Foundation.
• National Academies of Sciences, Engineering, and Medicine. (2016). Attribution of Extreme Weather Events in the Context of Climate Change. Washington, DC: The National Academies Press.