LitPop: Global Exposure Data for Disaster Risk Assessment
Asset exposure data for global physical risk assessment
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Author / Producer
Date
2019-03
Publication Type
Dataset
ETH Bibliography
yes
Citations
Altmetric
Data
Rights / License
Abstract
The modeling of economic disaster risk on a global scale requires high-resolution maps of exposed asset values. We have developed a generic and scalable method to downscale national asset value estimates proportional to a combination of nightlight intensity and population data. Here, we make gridded asset exposure data for 224 countries at a resolution of 30 arcsec available for download.
For more information, please refer to the accompanying publication. Please cite this publication, if you are using the data:
Eberenz, S., Stocker, D., Röösli, T., and Bresch, D. N.: Asset exposure data for global physical risk assessment, Earth Syst. Sci. Data, 12, 817–833, https://doi.org/10.5194/essd-12-817-2020, 2020.
Permanent link
Publication status
External links
Editor
Contributors
Contact person: Eberenz, Samuel
Research group: Bresch, David N.
Book title
Journal / series
Volume
Pages / Article No.
Publisher
ETH Zurich
Event
Edition / version
v1.2 (2020-04-09)
Methods
Software
CLIMADA – global weather and climate risk assessment platform.
Open-source software (Python 3.6+), available on GitHub:
https://github.com/CLIMADA-project/climada_python
https://github.com/CLIMADA-project/climada_papers
Geographic location
Place name
global
global
Date collected
Date created
2019-03
Subject
Asset exposure data; Exposed assets; Global; Night lights; Population data; Produced capital; Downscaling; Downscaling approach
Organisational unit
09576 - Bresch, David Niklaus / Bresch, David Niklaus
Notes
Funding
Related publications and datasets
Is cited by: https://doi.org/10.3929/ethz-b-000398592
Is cited by: https://doi.org/10.3929/ethz-b-000489485
Is documented by: https://doi.org/10.3929/ethz-b-000409595