Uncertainties and sensitivities in the quantification of future tropical cyclone risk


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Date

2023-10-13

Publication Type

Journal Article

ETH Bibliography

yes

Citations

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Data

Abstract

Tropical cyclone risks are expected to increase with climate change and socio-economic development and are subject to substantial uncertainties. We thus assess future global tropical cyclone risk drivers and perform a systematic uncertainty and sensitivity analysis. We combine synthetic tropical cyclones downscaled from CMIP6 global climate models for several emission scenarios with economic growth factors derived from the Shared Socioeconomic Pathways and a wide range of vulnerability functions. We highlight non-trivial effects between climate change and socio-economic development that drive future tropical cyclone risk. Furthermore, we show that the choice of climate model affects the output uncertainty most among all varied model input factors. Finally, we discover a positive correlation between climate sensitivity and tropical cyclone risk increase. We assert that quantitative estimates of uncertainty and sensitivity to model parameters greatly enhance the value of climate risk assessments, enabling more robust decision-making and offering a richer context for model improvement.

Publication status

published

Editor

Book title

Volume

4 (1)

Pages / Article No.

371

Publisher

Nature

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Organisational unit

09576 - Bresch, David Niklaus / Bresch, David Niklaus check_circle

Notes

Funding

820712 - REmote Climate Effects and their Impact on European sustainability, Policy and Trade (EC)

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