https://doi.org/10.5194/nhess-2020-229 Preprint. Discussion started: 26 August 2020 c Author(s) 2020. CC BY 4.0 License. Regional tropical cyclone impact functions for globally consistent risk assessments Samuel Eberenz1,2, Samuel Lüthi1,2, David N. Bresch1,2 5 1 Institute for Environmental Decisions, ETH Zurich, Zurich, 8092, Switzerland 2 Federal Office of Meteorology and Climatology MeteoSwiss, Zurich-Airport, 8058, Switzerland Correspondence to: Samuel Eberenz (
[email protected]) Abstract Assessing the adverse impacts caused by tropical cyclones has become increasingly important, as both climate change and 10 human coastal development increase the damage potential. In order to assess tropical cyclone risk, direct economic damage is frequently modelled based on hazard intensity, asset exposure and vulnerability, the latter represented by impact functions. In this study, we show that assessing tropical cyclone risk on a global level with one single impact function calibrated for the USA – which is a typical approach in many recent studies – is problematic, biasing the simulated damages by as much as a factor of 36 in the North West Pacific. Thus, tropical cyclone risk assessments should always consider regional differences 15 in vulnerability, too. This study proposes a calibrated model to adequately assess tropical cyclone risk in different regions by fitting regional impact functions based on reported damage data. Applying regional calibrated impact functions within the risk modelling framework CLIMADA at a resolution of 10 km worldwide, we find global annual average direct damage caused by tropical cyclones to range from 51 up to 121 billion USD (current value of 2014, 1980-2017), with the largest uncertainties in the West Pacific basin, where the calibration results are the least robust.