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Volume 10, issue 1
Earth Syst. Sci. Data, 10, 185–194, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 10, 185–194, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  26 Jan 2018

26 Jan 2018

A global historical data set of tropical cyclone exposure (TCE-DAT)

Tobias Geiger et al.

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Cited articles

Anderson, B.: noaastormevents, available at:, 2017.
Anderson, B., Yan, M., Ferreri, J., Crosson, W., Al-Hamdan, M., Schumacher, A., and Eddelbuettel, D.: hurricaneexposure: Explore and Map County-Level Hurricane Exposure in the United States, available at:, 2017.
Bakkensen, L. A. and Mendelsohn, R. O.: Risk and Adaptation: Evidence from Global Hurricane Damages and Fatalities, J. Assoc. Environ. Res. Econ., 3, 555–587,, 2016.
Bresch, D. N.: CLIMADA – the open-source Economics of Climate Adaptation (ECA) tool, implemented in MATLAB/Octave, available at:, 2014.
Chavas, D. R., Lin, N., Chavas, D. R., Lin, N., and Emanuel, K.: A Model for the Complete Radial Structure of the Tropical Cyclone Wind Field, Part I: Comparison with Observed Structure, J. Atmos. Sci., 72, 3647–3662,, 2015.
Short summary
Tropical cyclones (TCs) pose a major risk to societies worldwide but very limited data exist on their socioeconomic impacts. Here, we apply a common wind field model to comprehensively and consistently estimate the number of people and the sum of assets exposed by all TCs between 1950 and 2015. This information is crucial to assess changes in societal vulnerabilites, to calibrate TC damage functions, and to make risk data more accessible to non-experts and stakeholders.
Tropical cyclones (TCs) pose a major risk to societies worldwide but very limited data exist on...