Tropical Cyclone Risk and Economic Impact Assessment

Assessment of tropical cyclone risk and its economic impacts integrates hazard characterisation, exposure mapping and vulnerability evaluation to quantify potential losses and inform adaptation strategies. Hazard studies simulate storm frequency, intensity and size under current and future climate scenarios, often employing synthetic cyclone models to capture rare but extreme events. Exposure analyses combine spatial data on population, assets and critical infrastructure to estimate which elements are at risk. Vulnerability functions or damage functions translate hazard intensity into expected losses, accounting for factors such as construction standards, land use and natural defences. Socioeconomic pathways, notably the Shared Socioeconomic Pathways (SSPs), provide scenarios for future population growth and economic development, enabling projections of risk under varied emission trajectories. Recent work has emphasised the long-term economic effects of cyclones on growth and the importance of robust uncertainty quantification. Together, these approaches guide investment in resilience measures, insurance solutions and climate policy by revealing where and how interventions can most effectively reduce societal costs.

Research from Nature Portfolio

Recent studies have derived temperature-dependent damage functions across multiple nations to quantify how persistent cyclone impacts amplify the social cost of carbon. By linking storm intensity and national economic growth trajectories, these analyses reveal that accounting for long-run slowdown in growth raises global social cost estimates by over 20%, underscoring the need to include extreme-weather damages in climate policy evaluation. Another investigation has combined synthetic tropical cyclones downscaled from global climate models with socioeconomic scenarios to perform a rigorous uncertainty and sensitivity analysis of future cyclone risk. This work identifies non-linear interactions between climate change and development, highlights that the choice of climate model is the dominant source of uncertainty, and demonstrates a positive correlation between climate sensitivity and risk increase. Such systematic quantification of uncertainties enhances the robustness of risk assessments and supports more informed decision-making under climate and socioeconomic change.

Tropical Cyclone Risk and Economic Impact Assessment publication trend

The graph below shows the total number of articles in tropical cyclone risk and economic impact assessment across all publications each year (not limited to Nature Index journals).

Technical terms

Hazard: The natural phenomenon (e.g., wind, rainfall, storm surge) characterised by intensity, frequency and spatial extent. Exposure: The inventory of people, assets or infrastructure located in areas potentially affected by the hazard. Vulnerability function: A relationship that links hazard intensity to the proportion of exposed assets or economic output likely to be lost. Damage function: A mathematical model that quantifies expected economic losses given hazard parameters and vulnerability. Social cost of carbon (SCC): The present value of future economic damages per tonne of CO2 emissions, including long-term effects such as reduced growth. Shared Socioeconomic Pathways (SSPs): Scenarios describing future demographic and economic trends used to project exposure and development under different climate trajectories. Synthetic cyclone model: A computational approach that generates large ensembles of plausible storm tracks and intensities to estimate rare event probabilities and impacts.

References

1. The social costs of tropical cyclones. Nature Communications (2023).
2. Better insurance could effectively mitigate the increase in economic growth losses from U.S. hurricanes under global warming. Science Advances (2023).
3. Climate stress testing for mortgage default probability. International Review of Financial Analysis (2024).
4. Uncertainties and sensitivities in the quantification of future tropical cyclone risk. Communications Earth & Environment (2023).