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

Geiger, Tobias; Frieler, Katja; Bresch, David N.

doi:https://doi.org/10.5194/essd-10-185-2018

Articles | Volume 10, issue 1

https://doi.org/10.5194/essd-10-185-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-10-185-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 1

26 Jan 2018

| 26 Jan 2018

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

Tobias Geiger, Katja Frieler, and David N. Bresch

Data sets

A data collection of tropical cyclone exposure data sets (TCE-DAT) T. Geiger, K. Frieler, and D. N. Bresch https://doi.org/10.5880/pik.2017.011

A global data set of tropical cyclone exposure (TCE-DAT) T. Geiger, K. Frieler, and D. N. Bresch https://doi.org/10.5880/pik.2017.005

A global data set of spatially-explicit tropical cyclone exposure (TCE-DAT) T. Geiger, K. Frieler, and D. N. Bresch https://doi.org/10.5880/pik.2017.008

Spatially-explicit Gross Cell Product (GCP) time series: past observations (1850-2000) harmonized with future projections according to the Shared Socioeconomic Pathways (2010-2100) T. Geiger, M. Daisuke, K. Frieler, and Y. Yamagata https://doi.org/10.5880/pik.2017.007

Continuous national Gross Domestic Product (GDP) time series for 195 countries: past observations (1850-2005) harmonized with future projections according the Shared Socio-economic Pathways (2006-2100) T. Geiger and K. Frieler https://doi.org/10.5880/pik.2017.003

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.