2026-06-20T22:37:48Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:63392026-06-10T09:55:41ZDOIDBDOIDB.PIKfalse4DOIDB.PIK
10.5880/pik.2017.008
Geiger, Tobias
0000-0002-8059-8270
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Frieler, Katja
0000-0003-4869-3013
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Bresch, David N.
0000-0002-8431-4263
Swiss Federal Institute of Technology, ETH: Zurich, Switzerland
A global data set of spatially-explicit tropical cyclone exposure (TCE-DAT)
GFZ Data Services
2017
climate risk modeling
socio-economic exposure
natural disasters
EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > TROPICAL CYCLONES
EARTH SCIENCE > HUMAN DIMENSIONS > POPULATION
EARTH SCIENCE > HUMAN DIMENSIONS > SOCIOECONOMICS
environmental risk assessment
Geiger, Tobias
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Dataset
10.1175/2008MWR2395.1
10.1177/0959683609356587
10.1111/j.1466-8238.2010.00587.x
10.1175/2009BAMS2755.1
https://arxiv.org/abs/1610.09041
https://github.com/davidnbresch/climada
http://www.munichre.com/ natcatservice
10.5880/pik.2017.005
10.5880/pik.2017.011
10.5194/essd-10-185-2018
10.5880/pik.2017.007
10.5880/pik.2017.005
CC BY 4.0
Tropical cyclones (TCs) pose a major risk to societies worldwide. While data on observed cyclones tracks (location of the center) and wind speeds is publicly available these data sets do not contain information about the spatial extent of the storm and people or assets exposed. Here, we apply a simplified wind
field model to estimate all areas (grid cells) exposed to wind speeds above 34 knots.
Based on available spatially-explicit data on population densities and Gross Domestic Product (GDP) we estimate 1) the
number of people and 2) the sum of assets exposed to above tropical storm force wind speeds for temporal
changes in historical distribution of population and assets (TCE-hist) and assuming fixed 2015 patterns
(TCE-2015).
The associated spatially-explicit exposure data (TCE-DAT) covers the period 1950 to 2015. It is considered key information to 1) assess the contribution of climatological versus socio-economic drivers of changes in exposure to tropical cyclones, 2) estimate changes in vulnerability from the difference
in exposure and reported damages and calibrate associated damage functions, and 3) build improved exposure-based predictors to estimate higher-level societal impacts such as long-term effects on GDP,
employment, or migration.
We validate the adequateness of our methodology by comparing our exposure
estimate to estimated exposure obtained from reported wind fields available since 1988 for the United States. We expect that the free availability of the underlying model and TCE-DAT will make research on
tropical cyclone risks more accessible to non-experts and stakeholders.
Files included in the zip folder:
(1) TCE-DAT_single_events_historical.zip: Zipped archive containing 2707 files with exposed population
and assets by grid cell using historical socio-economic exposure estimates.
(2) TCE-DAT_single_events_2015.zip: Zipped archive containing 2713 files with exposed population
and assets by grid cell using fixed socio-economic exposure at 2015 values.
(3) Data-description_TCE-DAT_2017.008.pdf: full description of the data set including information on data sources and the description of variables/ data columns
Additional information on each TC event in the zipped archive (e.g. TC name, NatCatSERVICE_ID,
genesis_basin, aggregated exposure estimates by country) are available in the exposure data sets aggregated
on country-event level (see Geiger et al., 2017; http://doi.org/10.5880/pik.2017.005 for details).
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